Статті в журналах: "DFIG MODEL"

1

Wang, Shaoping, Jun Zhou, and Zhaoxia Duan. "Finite Frequency H∞ Control for Doubly Fed Induction Generators with Input Delay and Gain Disturbance." Sustainability 15, no. 5 (March 2, 2023): 4520. http://dx.doi.org/10.3390/su15054520.

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Due to the rapid development of wind power, the stable operation of doubly fed induction generators (DFIGs) has attracted much attention. This paper focuses on the finite frequency (FF) H∞ control for the DFIG with input delay, aiming to reduce the effects of current harmonic interferences and gain disturbances on the DFIG and improve the stability of the system. First, a DFIG state–space model with input delay under current harmonics was constructed. Second, based on the DFIG state–space model, an FF H∞ state-feedback controller was designed from the frequency domain perspective, which makes the DFIG stable and robust against harmonic interferences and gain disturbances. Third, via the generalized Kalman–Yakubovich–Popov (GKYP) lemma and the Lyapunov theory, the FF H∞ performance was evaluated in the form of linear matrix inequalities (LMIs), and then the state feedback FF H∞ controller was designed. Finally, the simulation results showed the efficiency of the proposed approach.

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2

Chen, Changqing, and Xinran Li. "Configuration Method and Multi-Functional Strategy for Embedding Energy Storage into Wind Turbine." Energies 14, no. 17 (August 28, 2021): 5354. http://dx.doi.org/10.3390/en14175354.

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This paper proposes a Configuration method for energy storage (ES), in which the ES inertia of ES is equal to an equal capacity synchronous generator. The purpose is to enhance the frequency modulation capability of double-fed induction generator (DFIG) and wind power consumption. Through the proposed method, the system inertia can remain unchanged after the DFIGs replacing the conventional turbines. During the DFIG rotor speed recovery, the ES releases energy to compensate for sudden changes in active power. On this basis, the DFIG and ES structure model is created, and the ES control strategy is optimized, thereby effectively improving the DFIG frequency modulation capability. Besides, in the non-frequency modulation period, the ES is used to suppress wind power fluctuations, thereby improving system wind power consumption and ES utilization. Simulation results indicate, in the ES-embedded wind turbine structure model, the combination of the ES Configuration method and multi-functional strategy significantly improves the frequency modulation ability and anti-interference performance of a single DFIG. Moreover, the wind power consumption and ES utilization are improved, and the ES achieves additional value.

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3

Li, Lei, Yabo Liang, Jian Niu, Jianan He, Haitao Liu, Bin Li, Chao Li, and Yunzhu Cao. "The Fault Ride-Through Characteristics of a Double-Fed Induction Generator Using a Dynamic Voltage Restorer with Superconducting Magnetic Energy Storage." Applied Sciences 13, no. 14 (July 13, 2023): 8180. http://dx.doi.org/10.3390/app13148180.

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With the prevalence of renewable energy sources such as wind power in the power system, analyzing the fault characteristics of systems composed of DFIGs is becoming increasingly important. Therefore, this article analyzes, at first theoretically, the fault characteristics of a doubly fed induction generator (DFIG) during fault periods. It was found that the fault current of the DFIG exhibited the frequency offset phenomenon, which is affected by the depth of voltage dips and can negatively impact traditional distance protection. Furthermore, a method using a dynamic voltage restorer (DVR) based on superconducting magnetic energy storage (SMES) was adopted to compensate for the fault voltage of DFIG, which can mitigate the voltage dips of the DFIG. This method can not only achieve the fault ride through for DFIG but also significantly improve the frequency offset of the fault current during fault periods. Finally, a model composed of a 2.5 MW DFIG-based wind turbine and a 2.5 MW DVR-based SMES was built using a real-time digital simulator (RTDS) platform, and the simulation results showed that the fault stator voltage of DFIG can be compensated at a rated value of 0.69 kV, and the frequency of fault current can be maintained at 50 Hz These results validate the excellent performance of the method in achieving the fault ride through of DFIG and improving the frequency offset of the fault current by comparing multiple type faults while employing different protection methods.

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4

Kavitha, A., and A. V. Suresh. "A Novel Inter Connection of DFIG with Grid in Separate Excitation SMES System with Fuzzy Logic Control." Bulletin of Electrical Engineering and Informatics 4, no. 1 (March 1, 2015): 43–52. http://dx.doi.org/10.11591/eei.v4i1.312.

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The use of doubly fed induction generators (DFIGs) in wind turbines has become quite common over the last few years. DFIG wind turbine is an integrated part of distributed generation system. This paper presents a Fuzzy based controller SMES unit in DFIG for improving the ac output on grid side. The excitation system is composed of the rotor-side converter, the grid-side converter, the dc chopper and the superconducting magnet. The superconducting magnet is connected with the dc side of the two converters, which can handle the active power transfer with the rotor of DFIG and the power grid independently, even thou Sutton small fluctuations are occur in active power on AC side. For smoothening the AC output power waveform a Fuzzy based controller is introduced in SMES controller unit, which implemented using simulation developed in MATLAB/ SIMULINK 7.2 version. The model of the FUZZY controlled SMES based excitation system for DFIG is established, and the simulation tests are performed to evaluate the system performance.

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5

Sun, Dongyang, Fanyi Meng, and Wenqiang Shen. "Study on Suppression Strategy for Broadband Sub-Synchronous Oscillation in Doubly-Fed Wind Power Generation System." Applied Sciences 12, no. 16 (August 20, 2022): 8344. http://dx.doi.org/10.3390/app12168344.

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In the power transmission of doubly-fed induction generators (DFIGs), sub-synchronous oscillation (SSO) can occur due to the influence of series compensation capacitance and long-distance transmission. SSO not only affects the output of the DFIG but also leads to oscillation diffusion. In order to solve the problem of disturbance in the control of the DFIG rotor side converter (RSC) under SSO, an adaptive quasi-resonant controller is proposed for the suppression of SSO. This strategy focuses on the propagation path of and frequency change in the SSO in the RSC control system and suppresses the SSO current in the wideband through the cooperative control of the back-stepping controller and the adaptive quasi-resonant controller. In this way, the stator-side output of the DFIG will not be affected by SSO, thus avoiding the amplification of the sub-synchronous power of the line by the DFIG. A simulation model and experimental platform were built to verify the suppression effect of this control strategy on the DFIG stator sub-synchronous current at different SSO frequencies. The results show that the proposed strategy has a good suppression effect on broadband SSO.

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6

Song, Shaojian, Peichen Guan, Bin Liu, Yimin Lu, and HuiHwang Goh. "Impedance Modeling and Stability Analysis of DFIG-Based Wind Energy Conversion System Considering Frequency Coupling." Energies 14, no. 11 (June 1, 2021): 3243. http://dx.doi.org/10.3390/en14113243.

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Impedance-based stability analysis is an effective method for addressing a new type of SSO accidents that have occurred in recent years, especially those caused by the control interaction between a DFIG and the power grid. However, the existing impedance modeling of DFIGs is mostly focused on a single converter, such as the GSC or RSC, and the influence between the RSC and GSC, as well as the frequency coupling effect inside the converter are usually overlooked, reducing the accuracy of DFIG stability analysis. Hence, the entire impedance is proposed in this paper for the DFIG-based WECS, taking coupling factors into account (e.g., DC bus voltage dynamics, asymmetric current regulation in the dq frame, and PLL). Numerical calculations and HIL simulations on RT-Lab were used to validate the proposed model. The results indicate that the entire impedance model with frequency coupling is more accurate, and it is capable of accurately predicting the system’s possible resonance points.

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7

Putri, Tri Wahyu Oktaviana, Agus Yogianto, and Ibnu Hajar. "Model Doubly Fed Induction Generator (DFIG) untuk Analisis Performa Kontrol pada Pembangkit Listrik Tenaga Angin." Energi & Kelistrikan 12, no. 2 (December 22, 2020): 179–85. http://dx.doi.org/10.33322/energi.v12i2.1095.

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Studi mengenai pengoperasian pembangkit listrik dari energi terbarukan dengan tenaga angin khususnya terkait dengan peran sistem kontrol pada pembangkit listrik tenaga angin relatif masih sangat terbatas. Peran sistem kontrol sendiri sangat penting di dalam konversi daya pembangkit listrik seperti ini. Oleh sebab itu untuk mengetahui serta menyelidiki pengaruh sistem kontrol konverter daya pada pembangkit listrik tenaga angin khususnya dengan Double-Fed Induction Generator (DFIG) dibutuhkan pemodelan dari pembangkit listrik tenaga angin dengan DFIG serta sistem kontrol yang dapat digunakan untuk simulasi pada jaringan atau sistem tenaga listrik. Penelitian dengan demikian bertujuan untuk menghasilkan model pembangkit listrik tenaga angin dengan generator DFIG beserta sistem kontrolnya yang dapat mengatur konversi daya secara optimal pada operasi yang terkoneksi ke jaringan listrik. Beberapa tahapan dilakukan pada penelitian ini yang terdiri dari kajian literatur, persiapan perangkat untuk simulasi memakai MATLAB/Simulink, pemodelan DFIG dengan penurunan persamaan yang berlaku, penyederhanaan model, disain kontrol, simulasi dan analisis. Pada tahapan penelitian ini hasil yang didapat merupakah sebagian tahapan penelitian yaitu mendapatkan pemodelan DFIG yang disederhanakan. Model DFIG yang disederhanakan ini diperoleh setelah melalui perumusan persamaan matematis dari rangkaian ekuivalen DFIG, menurunkan persamaan untuk model transien DFIG dan menyusun model DFIG dalam bentuk state space. Selanjutnya penyederhanaan dari bentuk state space diperoleh hubungan antara stator dan rotor DFIG.

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8

Shuaibu, Musayyibi, and Adamu Saidu Abubakar. "An Improved Dynamic Voltage Restorer Model for Ensuring Fault Ride-Through Capability of DFIG-based Wind Turbine Systems." ELEKTRIKA- Journal of Electrical Engineering 19, no. 1 (April 24, 2020): 9–16. http://dx.doi.org/10.11113/elektrika.v19n1.205.

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Renewable energy sources (RES) are being integrated to electrical grid to complement the conventional sources in meeting up with global electrical energy demand. Among the RES, Wind Energy Conversion Systems (WECS) have gained global electricity market competitiveness especially the Doubly Fed Induction Generator (DFIG)-based Wind Turbines (WTs) because of flexible regulation of active and reactive power, higher power quality, variable speed operation, four quadrant converter operation and better dynamic performance. Grid connected DFIG-based WTs are prone to disturbances due to faults in the network which made the utilization of the power generated a major concern. The grid code requirement for integrating the DFIGs to grid specified that they must remain connected and support the grid stability during grid disturbances of up to 1500milliseconds. The ability of the DFIG WT system to uphold to the grid codes requirement is termed the Fault Ride – Through (FRT). This paper presented a 1.5MW grid connected DFIG-based WT model with a Dynamic Voltage Restorer (DVR) for FRT capability enhancement. The design and simulation were performed in MATLAB/Simulink software. The test system was subjected to disturbances leading to Low Voltage Ride – Through (LVRT), Zero Voltage Ride – Through (ZVRT) and High Voltage Ride – Through (HVRT) considering three – phase balanced fault and single line to ground fault. The performance of improved model of DVR shows enhancement over conventional DVR in terms of voltage compensation and fault current mitigation.

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9

Shahriari, Sayyed Ali Akbar. "Modelling and dynamic state estimation of a doubly fed induction generator wind turbine." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 39, no. 6 (September 11, 2020): 1393–409. http://dx.doi.org/10.1108/compel-07-2019-0277.

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Purpose This paper aims to propose an 18th-order nonlinear model for doubly fed induction generator (DFIG) wind turbines. Based on the proposed model, which is more complete than the models previously developed, an extended Kalman filter (EKF) is used to estimate the DFIG state variables. Design/methodology/approach State estimation is a popular approach in power system control and monitoring because of minimizing measurement noise level and obtaining non-measured state variables. To estimate all state variables of DFIG wind turbine, it is necessary to develop a model that considers all state variables. So, an 18th-order nonlinear model is proposed for DFIG wind turbines. EKF is used to estimate the DFIG state variables based on the proposed model. Findings An 18th-order nonlinear model is proposed for DFIG wind turbines. Furthermore, based on the proposed model, its state variables are estimated. Simulation studies are done in four cases to verify the ability of the proposed model in the estimation of state variables under noisy, wind speed variation and fault condition. The results demonstrate priority of the proposed model in the estimation of DFIG state variables. Originality/value Evaluating DFIG model to estimate its state variables precisely.

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10

Li, Xiao-ming, Xiu-yu Zhang, Hong Cao, Zhong-wei Lin, Yu-guang Niu, and Jian-guo Wang. "Neural Adaptive Decentralized Coordinated Control with Fault-Tolerant Capability for DFIGs under Stochastic Disturbances." Mathematical Problems in Engineering 2017 (2017): 1–16. http://dx.doi.org/10.1155/2017/6271341.

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At present, most methodologies proposed to control over double fed induction generators (DFIGs) are based on single machine model, where the interactions from network have been neglected. Considering this, this paper proposes a decentralized coordinated control of DFIG based on the neural interaction measurement observer. An artificial neural network is employed to approximate the nonlinear model of DFIG, and the approximation error due to neural approximation has been considered. A robust stabilization technique is also proposed to override the effect of approximation error. A H2 controller and a H∞ controller are employed to achieve specified engineering purposes, respectively. Then, the controller design is formulated as a mixed H2/H∞ optimization with constrains of regional pole placement and proportional plus integral (PI) structure, which can be solved easily by using linear matrix inequality (LMI) technology. The results of simulations are presented and discussed, which show the capabilities of DFIG with the proposed control strategy to fault-tolerant control of the maximum power point tracking (MPPT) under slight sensor faults, low voltage ride-through (LVRT), and its contribution to power system transient stability support.

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11

Cai, Guowei, Xiangsong Chen, Zhenglong Sun, Deyou Yang, Cheng Liu, and Haobo Li. "A Coordinated Dual-Channel Wide Area Damping Control Strategy for a Doubly-Fed Induction Generator Used for Suppressing Inter-Area Oscillation." Applied Sciences 9, no. 11 (June 8, 2019): 2353. http://dx.doi.org/10.3390/app9112353.

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Using a doubly-fed induction generator (DFIG), with an additional active or reactive damping controller, is a new method of suppressing the inter-area oscillation of a power system. However, using active power modulation (APM) may decrease the damping of the shaft oscillation mode of a DFIG and the system damping target cannot be achieved through reactive power modulation (RPM) in some cases. Either single APM or RPM does not consider system damping and torsional damping simultaneously. In this paper, an active-reactive coordinated dual-channel power modulation (DCPM) damping controller is proposed for DFIGs. First, considering the electromechanical parts and control structure of the wind turbine, an electromechanical transient model and an additional damping controller model of DFIGs are established. Then, the dynamic objective function for coordinating the parameters of the additional damping controller is proposed. The ratio between the active power channel and reactive power channel modulation is derived from the parameters optimized by the particle swarm optimization algorithm. Finally, the effectiveness and practicability of the designed strategy is verified by comparing it with a traditional, simple damping controller design strategy. Standard simulation system examples are used in the comparison. Results show that the DCPM is better at maximizing the damping control capability of the rotor-side controller of a DFIG and simultaneously minimizing adverse effects on torsional damping than the traditional strategy.

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12

Lin, An. "Research on Voltage Stability in Grid-Connected Large Wind Farms." Advanced Materials Research 354-355 (October 2011): 989–92. http://dx.doi.org/10.4028/www.scientific.net/amr.354-355.989.

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Squirrel-cage induction generator (SCIG) has been widely utilized in large wind farms in China. However, the large wind farm composed of induction generators will cause obvious power system stability problems due to the dependency on reactive power. Doubly-fed induction generator (DFIG) has excellent dynamic characteristics of wind farm operations. With the increasing of wind power penetration in power systems, more and more wind farms use both SCIG and DFIG. This paper firstly analyzes the the dynamic characteristic of wind farm on power systems, especially in terms of the voltage stability. Then the interaction between the SCIGs and DFIGs is also investigated. A detailed simulation model of wind farms is presented by means of MATLAB. The simulation results demonstrate that the DFIG applications will improve the voltage stability of the wind farm largely and the low voltage ride through characteristics of SCIG to some extend.

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13

Abdelrahem, Mohamed, Christoph M. Hackl, and Ralph Kennel. "Limited-Position Set Model-Reference Adaptive Observer for Control of DFIGs without Mechanical Sensors." Machines 8, no. 4 (November 12, 2020): 72. http://dx.doi.org/10.3390/machines8040072.

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Operations of the doubly-fed induction generators (DFIGs) without mechanical sensors are highly desirable in order to enhance the reliability of the wind generation systems. This article proposes a limited-position set model-reference adaptive observer (LPS-MRAO) for control of DFIGs in wind turbine systems (WTSs) without mechanical sensors, i.e., without incremental encoders or speed transducers. The concept of of the developed LPS-MRAO is obtained from the finite-set model predictive control (FS-MPC). In the proposed LPS-MRAO, an algorithm is presented in order to give a constant number of angles for the rotor position of the DFIG. By using these angles, a certain number of rotor currents can be predicted. Then, a new quality function is defined to find the best angle of the rotor. In the proposed LPS-MRAO, there are not any gains to tune like the classical MRAO, where a proportional-integral is used and must be tuned. Finally, the proposed LPS-MRAO and classical one are experimentally implemented in the laboratory and compared at various operation scenarios and under mismatches in the parameters of the DFIG. The experimental results illustrated that the estimation performance and robustness of the proposed LPS-MRAO are better than those of the classical one.

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14

Gianto, Rudy. "Constant Power Factor Model of DFIG-Based Wind Turbine for Steady State Load Flow Studies." Energies 15, no. 16 (August 22, 2022): 6077. http://dx.doi.org/10.3390/en15166077.

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DFIG (Doubly Fed Induction Generator)-based WPP (Wind Power Plant) is the most popular type of wind-driven electric power generation configuration. The main reason for its popularity is that the DFIG system can capture wind energy more optimally than other WPP configurations. Due to the increasing penetration of WPP in power systems, the need to study its impact on power system performance is becoming increasingly important. To enable such a study to be conducted properly, the first and probably the most crucial step is to model all system components (including the WPP). This paper proposes a new steady state model of DFIG-based WPP for load flow analysis. The proposed model is derived based on DFIG power formulas (i.e., DFIG stator and rotor power formulas). The model in the present work is simple and can easily be incorporated into load flow analysis. Representation of the DFIG in both sub-synchronous and super-synchronous conditions can be carried out by using a single mathematical model. Furthermore, since DFIG can be operated at a constant power factor (i.e., unity, leading, or lagging power factor), this important feature is also considered in the proposed model development.

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15

Guo, Li Sa. "Transient Stability of Wind Power System with DFIG." Advanced Materials Research 986-987 (July 2014): 635–38. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.635.

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Analyzed mathematical model of wind power which consist doubly-fed wind turbine (DFIG).Strategies for pitch angle control were developed.Used MATLAB to establish equivalent model contain infinite power system concluding DFIG ,The results showed that wind power with DFIG have good transient stability.

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16

Gianto, Rudy, Purwoharjono, Fitri Imansyah, Rudi Kurnianto, and Danial. "Steady-State Load Flow Model of DFIG Wind Turbine Based on Generator Power Loss Calculation." Energies 16, no. 9 (April 24, 2023): 3640. http://dx.doi.org/10.3390/en16093640.

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Penetration of wind power plants (WPPs) in the electric power system will complicate the system load flow analysis. Consequently, the traditional load flow algorithm can no longer be used to find the solution to the load flow problem of such a system. This paper proposes a doubly fed induction generator (DFIG)-based WPP model for a load flow analysis of the electric power system. The proposed model is derived based on the power formulations of the WPP—namely, DFIG power, DFIG power loss, and WPP power output formulas. The model can be applied to various DFIG power factor operating modes. In the present paper, applications of the proposed methods in two representative electric power systems (i.e., IEEE 14-bus and 30-bus systems) have been investigated. The investigation results verify the proposed method’s capability to solve the load flow problem of the system embedded with DFIG-based variable-speed WPPs.

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17

Jose, Julia Tholath, and Adhir Baran Chattopadhyay. "Modeling of the magnetizing phenomena of doubly fed induction generator using neuro-fuzzy algorithm considering non-linearity." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 1 (February 1, 2019): 23. http://dx.doi.org/10.11591/ijece.v9i1.pp23-33.

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Doubly fed Induction Generators (DFIGs) are quite common in wind energy conversion systems because of their variable speed nature and the lower rating of converters. Magnetic flux saturation in the DFIG significantly affect its behavior during transient conditions such as voltage sag, sudden change in input power and short circuit. The effect of including saturation in the DFIG modeling is significant in determining the transient performance of the generator after a disturbance. To include magnetic saturation in DFIG model, an accurate representation of the magnetization characteristics is inevitable. This paper presents a qualitative modeling for magnetization characteristics of doubly fed induction generator using neuro-fuzzy systems. Neuro-fuzzy systems with one hidden layer of Gaussian nodes are capable of approximating continuous functions with arbitrary precision. The results obtained are compared with magnetization characteristics obtained using discrete fourier transform, polynomial and exponential curve fitting. The error analysis is also done to show the effectiveness of the neuro fuzzy modeling of magnetizing characteristics. By neuro-fuzzy algorithm, fast learning convergence is observed and great performance in accuracy is achieved.

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18

Mahroug, Rabiaa, Mohamed Matallah, and Salam Abudura. "Modeling of wind turbine based on dual DFIG generators." International Journal of Power Electronics and Drive Systems (IJPEDS) 13, no. 2 (June 1, 2022): 1170. http://dx.doi.org/10.11591/ijpeds.v13.i2.pp1170-1185.

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In order to investigate a viable approach to fully exploit the wind speed, the present work investigates the application of a novel wind turbine consisting of dual doubly-fed induction generators (DFIG). The model can be further used to apply in areas where the winds are high to achieve high conversion efficiency in order to produce large electric power and increase the wind turbine capacity with an economy of hardware on the one hand, and to reduce the installation cost on the other. Furthermore, this model is always guarantees the continuity of power production because if one generator fails, the second generator will keep working until the broken one is repaired. The proposed model of the wind turbine based on dual doubly-fed induction generators (WT-dual-DFIG) were using the indirect field-oriented control (IFOC) was validated by wind turbine based on single doubly-fed induction generator (WT-single-DFIG) in MATLAB/Simulink. The results of simulation show that the simulated responses of the WT-dual-DFIG increased the power by a factor of about 14.3% compared to a WT-single-DFIG due to the use of a variable speed dual-DFIG. Finally, we can say that the WT-dual-DFIG model is strongly developed and could be applied in the coming years.

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19

Chongjarearn, Yutana. "Doubly-Fed Induction Generator Wind Turbine Model for Fault Ride-Through Investigation." ECTI Transactions on Electrical Engineering, Electronics, and Communications 11, no. 1 (July 15, 2012): 32–36. http://dx.doi.org/10.37936/ecti-eec.2013111.170603.

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The paper presents an investigation into the behavior of a grid-connected, wind turbine driven Doubly-Fed Induction Generator (DFIG) during Grid faults which are represented by a voltage dip on all three phases of the voltage supply. Stator-voltage- oriented vector control is used to decouple the active and reactive power generated by the machine. The dynamic DFIG model is used to simulate the behaviour of the wind turbine generator during both normal and fault conditions. Simulation and experiment results are shown in a very good agreement. Further the model can be used to investigate Fault ride-through performance of the DFIG.

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20

Othmane, Boughazi, Bouiri Abdesselam, and Benoudjafer Cherif. "A robust new full control strategy without FOANR based on substitution method against nonlinear DFIG model for wind application." International Journal of Power Electronics and Drive Systems (IJPEDS) 13, no. 3 (September 1, 2022): 1696. http://dx.doi.org/10.11591/ijpeds.v13.i3.pp1696-1703.

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Анотація:

In order to control the output power of wind application (WA) based on doubly fed induction generator (DFIG). The simple control (SC) strategy based on approaches via flux orientation and neglecting resistance (FOANR) to decoupled axes is the most common used in many previous studies, However this strategy FOANR present a linear synthesis, mainly to control DFIG simple model sensitive to internal and external disturbances, This research paper contribute to developed a robust new full control (FC) strategy based on substitution method (SM) to solving nonlinear coupled axes without FOANR to control nonlinear DFIG model, we use a proportional-integral (PI) controller by the most efficient method: indirect with double loop on each axis to control powers generated by DFIG and stator current directly, we check its performance and efficient compared to the same controller based on flux FOANR against DFIG nonlinear model.

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21

Yan, Gangui, Dan Wang, Qi Jia, and Wenbo Hu. "Equivalent Modeling of Dfig-Based Wind Farms for Sub-Synchronous Resonance Analysis." Energies 13, no. 20 (October 17, 2020): 5426. http://dx.doi.org/10.3390/en13205426.

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The order of the detailed model of doubly-fed induction generator (DFIG) wind farms are too high and the simulation is difficult. Most of the existing research has used a single-machine equivalent model and clustering aggregation model for equivalence and few papers have explored the principles and equivalent conditions of the single-machine equivalent model under sub-synchronous resonance (SSR). Due to this reason, this paper equates DFIG wind farms connected with series compensated transmission network to two separate units based on the principle of matrix similarity transformation and the mathematical model and physical model of each unit has been studied. Then, the DFIG wind farm equivalent model’s validity is analyzed in number difference and collecting line difference based on linearization analysis. Finally, the system model is built in EMTDC/PSCAD, the damping analysis method is used to test the equivalent model’s validity and further reveal the mechanism of the system’s unstable operation. The results show that: the equivalent model can effectively reduce the system dimension and accurately reflect the dominant oscillation characteristics of DFIG wind farm under SSR; when SSR occurs, the damping coefficient of DFIG wind farm is negative under the oscillation frequency.

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22

Han, Pingping, Yu Zhang, Lei Wang, Yan Zhang, and Zihao Lin. "Model Reduction of DFIG Wind Turbine System Based on Inner Coupling Analysis." Energies 11, no. 11 (November 21, 2018): 3234. http://dx.doi.org/10.3390/en11113234.

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Анотація:

The doubly-fed induction generator (DFIG) wind turbine system, which is composed of the wind turbine, generator, rotor-side converter, grid-side converter, and so on, is a typical multi-time scale system. The dynamic processes at different time scales do not exist in isolation. Furthermore, neglecting the coupling of parameters of different time scales to reduce the order of the model will lead to deviation between the simulation results and the actual results, which may not be suitable for power system transient analysis. This paper proposes an electromechanical transient model and an electromagnetic transient model of the DFIG wind turbine system that consider the interaction of multiple time-scale dynamic processes. Firstly, the paper applies the modal analysis method to explain the multi-time scale characteristics of the DFIG wind turbine system. Secondly, the variation in the eigenvalues of the DFIG wind turbine system before and after the order reduction and the coupling between variables and the system, as well as the coupling between variables of different time scales, are analyzed to obtain the preliminary 21-order simplified model. Thirdly, considering the weak coupling characteristics between the mechanical part and the electromagnetic part of the DFIG wind turbine system, the 21-order simplified model is decomposed into a 15-order electromagnetic transient model and a six-order electromechanical transient model on the basis of their time scales. Then, according to the balance between simulation time and simulation accuracy, the 14-order electromagnetic transient model and the 10 or 12-order electromechanical transient model are finally obtained. Finally, the rationality of the simplified models is verified by simulations under two large disturbance conditions, namely wind speed abrupt change and voltage sag. The obtained simplified models have reference significance for improving the simulation speed of a wind power grid-connected system and analyzing the internal mechanism of the DFIG wind turbine system’s stability.

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23

Zhang, Hanhua, Haiqiang Jin, Tongtong Wang, and Jun Wen. "DFIG Model Suitable for SSR Research." IOP Conference Series: Materials Science and Engineering 853 (June 12, 2020): 012017. http://dx.doi.org/10.1088/1757-899x/853/1/012017.

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24

Duan, Jian Dong, Rui Li, and Lin An. "Study of Voltage Stability in Grid-Connected Large Wind Farms." Advanced Materials Research 433-440 (January 2012): 1794–801. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.1794.

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Анотація:

Squirrel-cage induction generator (SCIG), as its structural and economic advantages, has been widely utilized in large wind farms in China. However, the large wind farm composed of induction generators will cause obvious problems to the power system stability due to the dependency on reactive power. At the same time, Doubly-fed induction generator (DFIG), as a new type of wind turbine generator, has excellent dynamic characteristics for operation of wind farms. With the increase in penetration of wind power in power systems, more and more wind farms will use both SCIG and DFIG. In this case, the dynamic characteristic of wind farm on power systems is becoming an important issue especially in terms of the voltage stability. This article is to show by means of simulations the dynamic performance of wind farm linked to power system under the circumstances of network disturbances. Furthermore, the interaction between the SCIGs and DFIGs has also been investigated. A detailed model of wind farms is presented through the plat root of MATLAB/SIMULINK. The simulation results demonstrate that the DFIG applications will largely improve the dynamic performance of wind farm in certain conditions, if the DFIGs could be applied reasonably, the voltage stability of the wind farm will be largely improved and even low voltage ride through(LVRT) characteristic of SCIGs, which may be a good solution to reduce the high dependence of costly reactive power compensation equipment(Some flexible AC transmission systems devices like SVC, STATCOM) to some extent.

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25

Li, Jun You, Wen Ying Liu, Wei Wang, Jia Yu Fu, and Ning Bo Wang. "The Dynamic Interactional Model of SVC and DFIG to Maintain Grid Voltage." Advanced Materials Research 724-725 (August 2013): 506–11. http://dx.doi.org/10.4028/www.scientific.net/amr.724-725.506.

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Анотація:

This paper mainly introduces the dynamic interactional model of SVC and DFIG to ensure the stability of the voltage when wind power generator access to grid massively. Firstly, we analysis the control characteristics based on the dynamic model of SVC and DFIG. Based on the characteristics we establish the dynamic interactional model of them. By using a simplified model of wind power access to the grid, we prove that the voltage of the access point to the grid will stay in the reasonable range through the interaction of SVC and DFIG providing reactive power when the wind power output fluctuates. The conclusion is proved by simulating calculation of a real regional power grid.

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26

Bharti, O. P., R. K. Saket, and S. K. Nagar. "Controller Design For DFIG Driven By Variable Speed Wind Turbine Using Static Output Feedback Technique." Engineering, Technology & Applied Science Research 6, no. 4 (August 26, 2016): 1056–61. http://dx.doi.org/10.48084/etasr.697.

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Анотація:

This paper describes the controller design for a DFIG based wind energy generation system using the static output feedback technique through the LMI Toolbox. The features of the DFIG, its converters and their controllers are discussed. The lower order nominal representation of DFIG is obtained using numerical differentiation of the SIMULINK model which is subsequently used for PID controller design. The obtained results are compared with existing methods for performance enhancement of the DFIG and wind energy conversion systems.

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27

Kumar, Varun, Vipin Patel, A. S Pandey, S. K Sinha, and Dilip Kumar. "Transient Stability Enhancement of DFIG based Offshore Wind Farm Connected to a Power System Network using STATCOM." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 1303. http://dx.doi.org/10.14419/ijet.v7i3.12.17875.

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Анотація:

This paper presents the transient stability enhance of DFIG-based offshore wind farm connected power system network using STATCOM. The studied system is simulated in MATLAB/Simulink platform for study the effect of transient disturbances like, three phases to ground fault, sudden load change, voltage sag & swell. A fully aggregate model of wind DFIG is used for simulation study of system. The DFIG based wind generator, more sensitive to the grid faults than other wind generators. During transient disturbances DFIG terminal voltage reduced below the critical value and hence DFIG trips. The external reactive power support is required for stabilization of wind farm during the transient disturbances. In studied system STATCOM is used to fulfil the reactive power requirement to stabilize the wind farm. In presence of STATCOM, DFIG does not trip during transient disturbances of power system and all bus voltages & DFIG terminal voltage are also improved.

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28

Cai, Guowei, Cheng Liu, Deyou Yang, and Nantian Huang. "Design of Nonlinear Robust Rotor Current Controller for DFIG Based on Terminal Sliding Mode Control and Extended State Observer." Mathematical Problems in Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/201938.

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Анотація:

As to strong nonlinearity of doubly fed induction generators (DFIG) and uncertainty of its model, a novel rotor current controller with nonlinearity and robustness is proposed to enhance fault ride-though (FRT) capacities of grid-connected DFIG. Firstly, the model error, external disturbances, and the uncertain factors were estimated by constructing extended state observer (ESO) so as to achieve linearization model, which is compensated dynamically from nonlinear model. And then rotor current controller of DFIG is designed by using terminal sliding mode variable structure control theory (TSMC). The controller has superior dynamic performance and strong robustness. The simulation results show that the proposed control approach is effective.

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29

Rudy Gianto. "Pemodelan Pembangkit Listrik Tenaga Bayu Kecepatan Variabel untuk Analisis Aliran Daya." Jurnal Nasional Teknik Elektro dan Teknologi Informasi 11, no. 3 (August 24, 2022): 222–28. http://dx.doi.org/10.22146/jnteti.v11i3.1749.

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Анотація:

Akhir-akhir ini, pemanfaatan energi angin melalui pembangkit listrik tenaga bayu (PLTB) kecepatan variabel untuk pembangkitan daya listrik telah mengalami peningkatan yang cukup signifikan. Hal ini berbanding terbalik dengan PLTB kecepatan tetap yang penggunaannya semakin menurun. Pesatnya perkembangan PLTB kecepatan variabel ini terjadi terutama karena PLTB tersebut dapat mengekstraksi atau menangkap energi angin secara lebih optimal dibandingkan PLTB kecepatan tetap. Operasi kecepatan variabel pada suatu PLTB dapat dicapai melalui aplikasi doubly fed induction generator (DFIG) sebagai konverter energi utamanya. Untuk dapat menyelidiki atau menganalisis sistem tenaga yang mengandung PLTB, langkah penting pertama yang harus dilakukan adalah pemodelan dari seluruh komponen sistem tenaga (termasuk PLTB). Analisis terhadap sistem tenaga ini biasanya dilakukan untuk mengevaluasi kinerja atau penampilan sistem tenaga tersebut. Makalah ini membahas pemodelan PLTB kecepatan variabel yang berbasis DFIG untuk digunakan pada analisis aliran daya sistem tenaga listrik. Usulan model PLTB tersebut diperoleh berdasarkan formula-formula yang menghitung daya dan rugi-rugi daya dari PLTB. Pemodelan konverter elektronika daya dari DFIG yang biasanya cukup rumit tidak diperlukan dalam proses pembentukan model. Lebih lanjut, tidak seperti pada metode-metode yang sebelumnya telah dipublikasi, yaitu dua model yang berbeda harus digunakan untuk mengakomodasi analisis aliran daya pada kondisi subsinkron dan kondisi supersinkron, pada makalah ini PLTB yang berbasis DFIG tersebut cukup direpresentasikan melalui satu model matematis. Model tersebut dapat digunakan untuk menyatakan DFIG, baik pada kondisi subsinkron maupun kondisi supersinkron. Model ini kemudian diintegrasikan ke dalam analisis aliran daya untuk mengevaluasi kinerja keadaan mantap sistem. Hasil-hasil dari studi kasus juga disajikan pada makalah ini. Pada studi kasus tersebut, dilakukan penyelidikan terhadap aplikasi dari metode yang diusulkan pada sistem tenaga terinterkoneksi yang mengandung PLTB. Hasil penyelidikan mengonfirmasi validitas usulan model DFIG.

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30

Abdelrahem, Mohamed, Christoph Hackl, Ralph Kennel, and Jose Rodriguez. "Low Sensitivity Predictive Control for Doubly-Fed Induction Generators Based Wind Turbine Applications." Sustainability 13, no. 16 (August 16, 2021): 9150. http://dx.doi.org/10.3390/su13169150.

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Анотація:

In this paper, a deadbeat predictive control (DBPC) technique for doubly-fed induction generators (DFIGs) in wind turbine applications is proposed. The major features of DBPC scheme are its quick dynamic performance and its fixed switching frequency. However, the basic concept of DBPC is computing the reference voltage for the next sample from the mathematical model of the generator. Therefore, the DBPC is highly sensitive to variations of the parameters of the DFIG. To reduce this sensitivity, a disturbance observer is designed in this paper to improve the robustness of the proposed DBPC scheme. The proposed observer is very simple and easy to be implemented in real-time applications. The proposed DBPC strategy is implemented in the laboratory. Several experiments are performed with and without mismatches in the DFIG parameters. The experimental results proved the superiority of the proposed DBPC strategy over the traditional DBPC technique.

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31

Sun, Tingting, and Jiejie Huang. "Improved Dynamic Power Flow Model with Frequency Regulation by DFIG Integrated through VSC-HVDC Considering Governor Delay of SG." Applied Sciences 12, no. 11 (May 27, 2022): 5447. http://dx.doi.org/10.3390/app12115447.

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Анотація:

The doubly-fed induction generators (DFIGs) integrated to the grid through the voltage source converter-high voltage direct current (VSC-HVDC), the cascaded droop control from the system frequency to the DC voltage, then to the active output of the DFIG, was applied to enhance the frequency regulation capability of the power system. The improved dynamic power flow (DPF) model was newly proposed to quantify the frequency response of the coordinated regulation with the inertia of the VSC-HVDC and the DFIGs, and the primary regulation of the synchronous generators (SGs) and the DFIGs. New features of the proposed model include: (i) the SGs’ output in the DPF considering the governor delay, (ii) setting of the virtual inertia of the VSC-HVDC within the DC voltage constraint, and (iii) variable inertia of the DFIGs following changing the kinetic energy of the rotor. The numerical results show the feasibility of the proposed model, and validate the regulation effect and accuracy of the modified inertia of the DFIGs and the maximized virtual inertia of the VSC-HVDC.

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32

Wang, Le, Lin Guan, and Xin Ming Fan. "Modeling and Simulation of Doubly-Fed Wind Power Generators Based on PSCAD/EMTDC." Applied Mechanics and Materials 392 (September 2013): 475–79. http://dx.doi.org/10.4028/www.scientific.net/amm.392.475.

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Анотація:

This paper builds the mathematical model of a doubly-fed wind power generator (DFIG) which is widely used in wind power generation. Based on stator magnetic field orientation vector technique, active and reactive power decoupling control strategy is constructed. Based on the software package PSCAD/EMTDC, the grid-connected system of DFIG is modeled, and the dynamic response characteristics of generators active and reactive power on ramp change of wind speed conditions is simulated and analyzed. The simulation results show that the variable pitch DFIG has good operating characteristics and the model is correct.

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33

Zhang, Feng, Chong Chong Bai, Feng Qiao, and Ye Hui Lu. "Stator Flux Orientation Decoupled Power Control of Doubly-Fed Induction Generator." Applied Mechanics and Materials 394 (September 2013): 278–83. http://dx.doi.org/10.4028/www.scientific.net/amm.394.278.

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Анотація:

The overall mathematical model of doubly-fed induction generator (DFIG) is established in this paper, a controller is designed in detail for DFIG under the strategy of stator flux orientation (SFO). Simulation studies are carried out in this paper with Matlab/Simulink under three operation states of DFIG, the simulation results verified that the controller designed can realize the decoupling of active and reactive power effectively.

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34

Hocini, Yacine, Ahmed Allali, and Houari Merabet Boulouiha. "Power fuzzy adaptive control for wind turbine." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 5 (October 1, 2020): 5262. http://dx.doi.org/10.11591/ijece.v10i5.pp5262-5273.

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Анотація:

In recent years, wind energy has become one of the most promising renewable energy sources. The doubly-fed induction generator (DFIG) is currently the most common type of generator used in wind farms. This paper describes an approach for the independent control of the active and reactive power of the variable-speed DFIG. This paper deals with the control of the active and reactive powers in a DFIG designed for a wind system. The simulation model including a 7 KW - DFIG driven by a wind turbine, a PWM inverter and the proposed control strategy are developed and implemented using Matlab Simulink.

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35

Abdesselam, Bouiri, Benoudjafer Cherif, and Boughazi Othmane. "Solve Coupled Axes Problem Without FOANR Based on Substitution Method to Control DFIG Used in Wind Application." Journal Européen des Systèmes Automatisés 54, no. 4 (August 31, 2021): 623–31. http://dx.doi.org/10.18280/jesa.540412.

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Анотація:

In order to control output powers generated by doubly fed induction generator (DFIG) used in wind application (WA) many previous studies, mainly based on flux orientation control (FOC) and neglecting resistance to get a simple model of DFIG with decoupled axis. However, this control strategy requires several hypotheses: low and stability of grid voltage in order to orientated the statoric flux, high power of generator to neglecting statoric resistance. As a result that may not be present in realty due to direct connection between stator and the grid In addition to the presence of resistance, whatever the power of the generator, therefore the DFIG represents a complex model and required a nonlinear control without previous approaches closer to reality to respond highly against DFIG nonlinear model, this is the first paper presents a novel strategy to control nonlinear model of DFIG based on substitution method to solving (d,q) coupled axes without flux orientation and neglecting resistance (FOANR) and also does not take into account stability of grid voltage, for produce required reference active and reactive power by controlling the voltage of rotor side converter (RSC), using classical proportional-integral (PI) controller in a non-linear synthesis form by three methods :direct control (D) and indirect open loop (IOL) and indirect with power loop (IWPL),we compared three controls and check their performance towards the real model of DFIG to verify our control and proving its effectiveness without previous approaches. Finally, the simulation results of the studied controls are presented, analyzed and compared.in terms of power reference tracking, robustness to the parametric variation and the ability to respond to sudden wind speed variation.

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36

Ahmed, Mahrous, Mohamed K. Metwaly, and Nagy Elkalashy. "Performance investigation of multi-level inverter for DFIG during grid autoreclosure operation." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 1 (March 1, 2019): 454. http://dx.doi.org/10.11591/ijpeds.v10.i1.pp454-462.

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Анотація:

This paper aims to study the multi-level inverter (MLI) fed the widely used doubly-fed induction generators (DFIG). The new DFIG generator connected to the electrical grid is evaluated during single-pole autoreclosure operation to continue the generator support to the system. The effect of using MLI on the performance of the DFIG system during the dynamic operation of the autoreclosure is studied for the first time and integrating a new MLI during the fault and clearing periods. A dynamic arc model is represented depending on Kizilcay model. Furthermore, the dynamics performance of the DFIG during integration with MLI to improve the performance is studied. The MLI is preferred because of processing high power with high resolution of the voltage waveforms and lower stresses on switches. The MLI enhances the performance of DFIG-based generating system associated with electrical grid system in case of single-pole autoreclosure. The proposed cases of studies are simulated using Matlab/Simulink to evaluate the proposed system performance during the autoreclosure operation for faults in double-circuit transmission systems.

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37

Fu, Pengwu, Dongwen Yang, Zhi He, Zhenfeng Duan, and Dengmei Wang. "Practical calculation of asymmetric short circuit current of DFIG connected to distribution network." E3S Web of Conferences 145 (2020): 02075. http://dx.doi.org/10.1051/e3sconf/202014502075.

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Анотація:

In view of the existing complex analytic calculations of DFIG short-circuit current are hardly applied in engineering projects, a practical calculation of asymmetric short-circuit current of DFIG is proposed. According to the complex sequence and their Thevenin equivalent model of DFIG network, the composition of each sequence component of DFIG short-circuit current is analysed. Moreover, considering the low-voltage ride through strategy of DFIG, the negative sequence periodic components of short circuit current are well analysed during the crowbar activation and deactivation, and the formula of the negative sequence periodic components of short circuit current are derived. On the basis of positive and negative sequence open circuit voltage, calculating impedance and rotor current, the judgement of crowbar activation is established. The pre-calculated surfaces of negative sequence periodic components of short circuit current are proposed, and the procedure for calculating the asymmetric short-circuit current of DFIG is designed. Finally, the proposed method is verified by simulation.

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38

Sun, Mengxue, Ruixin Gao, Yuhui Ji, Xin Long, Changzhi Yao, and Fan Wu. "Inside-wind-farm/Wind-farm-grid sub-synchronous oscillation characteristics analysis in grid-connected system of multiple DFIGs." Journal of Physics: Conference Series 2076, no. 1 (November 1, 2021): 012116. http://dx.doi.org/10.1088/1742-6596/2076/1/012116.

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Анотація:

Abstract Aiming at the sub-synchronous oscillation (SSO) problem of the grid-connected system of multiple DFIGs, most of the existing theoretical studies take the entire wind farm as a single-machine model, the stand-alone model cannot reflect the inside-wind-farm oscillation mode produced by the interactions among DFIGs in the wind farm. Therefore, this paper takes the equivalent value of DFIG-based wind farm to three DFIGs, establishes a mathematical model of the grid-connected system of three DFIGs, and studies the sub-synchronous oscillation modes existing in the system through eigenvalue analysis and participation factor analysis. The results show: When the length of transmission line increases, the oscillation frequency of the inside-wind-farm/wind-farm-grid sub-synchronous oscillation mode increases, the damping decreases and the stability weakens; when the number of grid-connected DFIGs increases, the oscillation frequency of the inside-wind-farm/wind-farm-grid sub-synchronous oscillation mode decreases, the damping increases and the stability enhances. Finally, a time-domain simulation model of the grid-connected system of multiple DFIGs was built in PSCAD/EMTDC to verify the correctness of the theoretical analysis results.

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39

Deng, Ya, Shu Ju Hu, Yan Feng Meng, and Hong Hua Xu. "Cooperated Control Strategy of DFIG Wind Power Generation System under Unbalanced Grid Condition." Advanced Materials Research 732-733 (August 2013): 1005–9. http://dx.doi.org/10.4028/www.scientific.net/amr.732-733.1005.

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Анотація:

This paper proposes a cooperated control of the grid side converter (GSC) and rotor side converter (RSC) in doubly-fed induction generator (DFIG) wind power generation system under unbalanced grid condition. Mathematical model of doubly-fed induction generator (DFIG) and GSC under unbalanced grid voltage condition are investigated. Dual-dq current control strategies of the RSC and GSC under unbalanced grid condition are detailed studied. A cooperated control strategy of the GSC and RSC under unbalanced grid condition is proposed to provide enhance operation of DFIG system. The GSC is controlled to remove the total active power fluctuation of the system and RSC is controlled to eliminate the DFIG electromagnetic torque oscillation. Simulation based on Matlab/Simulink of a 1.5 MW DFIG prototype was carried out to validate the proposed cooperated control strategy.

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40

Gianto, Rudy. "Constant Voltage Model of DFIG-Based Variable Speed Wind Turbine for Load Flow Analysis." Energies 14, no. 24 (December 18, 2021): 8549. http://dx.doi.org/10.3390/en14248549.

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Анотація:

At present, the penetration of wind-driven electric generators or wind power plants (WPPs) in electric power systems is getting more and more extensive. To evaluate the steady state performances of such power systems, developing a valid WPP model is therefore necessary. This paper proposes a new method in modeling the most popular type of WPP, i.e., DFIG (doubly fed induction generator)-based WPP, to be used in power system steady state load flow analysis. The proposed model is simple and derived based on the formulas that calculate turbine mechanical power and DFIG power. The main contribution of the paper is that, in contrast to the previous models where the DFIG power factor has been assumed to be constant at unity, the constant voltage model proposed in this paper allows the power factor to vary in order to keep the voltage at the desired value. Another important contribution is that the proposed model can be implemented in both sub-synchronous and super-synchronous conditions (it is to be noted that most of the previous models use two different mathematical models to represent the conditions). The case study is also presented in the present work, and the results of the study confirm the validity of the proposed DFIG model.

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41

Zhang, Hui Shen, Ge Xiang Zhang, and De Lin Wang. "Modeling and Simulation of a Grid with a Doubly Fed Induction Generator." Advanced Materials Research 424-425 (January 2012): 170–73. http://dx.doi.org/10.4028/www.scientific.net/amr.424-425.170.

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Анотація:

This paper establishes a simulation model for a doubly fed induction generator (DFIG) connected with a power grid by using the vector control scheme. The model consists of a wind turbine, a doubly fed generator, power converters and a vector control strategy. The simulation model is built by using PSCAD/EMTDC. We also investigate the operating characteristics of a grid with the DFIG by considering respective wind speed fluctuation and short-circuit fault in the grid. Experiment results verify the correctness of the simulation model and the relative stability in the operating process of the simulated grid. This work provides a useful simulation platform for further studying the transient stability of the DFIG connected with power grid and more effective control strategies

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42

Zhang, Bao Luo. "Simulation Study on Decoupling Control of Active and Reactive Power in Doubly Fed Induction Generator." Applied Mechanics and Materials 716-717 (December 2014): 1376–81. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.1376.

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Анотація:

The decoupled control of active and reactive power in doubly fed induction generator (DFIG) is a key technology of wind power generation system. First, this paper introduces the principle of DFIG, then proposes an useful method for decoupling control of active and reactive power by analyzing the mathematical model of DFIG and the stator-flux-oriented vector control scheme. Finally, use the Matlab/Simulink tools for simulation studies, the results indicated that the decoupling control of active and reactive power in DFIG can be efficiently implemented, which can be considered as a reference control scheme for variable-speed constant-frequency (VSCF) wind power generation system.

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43

Bharti, O. P., R. K. Saket, and S. K. Nagar. "Controller Design of DFIG Based Wind Turbine by Using Evolutionary Soft Computational Techniques." Engineering, Technology & Applied Science Research 7, no. 3 (June 12, 2017): 1732–36. http://dx.doi.org/10.48084/etasr.1231.

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Анотація:

This manuscript illustrates the controller design for a doubly fed induction generator based variable speed wind turbine by using a bioinspired scheme. This methodology is based on exploiting two proficient swarm intelligence based evolutionary soft computational procedures. The particle swarm optimization (PSO) and bacterial foraging optimization (BFO) techniques are employed to design the controller intended for small damping plant of the DFIG. Wind energy overview and DFIG operating principle along with the equivalent circuit model is adequately discussed in this paper. The controller design for DFIG based WECS using PSO and BFO are described comparatively in detail. The responses of the DFIG system regarding terminal voltage, current, active-reactive power, and DC-Link voltage have slightly improved with the evolutionary soft computational procedure. Lastly, the obtained output is equated with a standard technique for performance improvement of DFIG based wind energy conversion system.

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44

Fatima Zohra, Arama, Bousserhane Ismail Khalil, Laribi Slimane, Sahli Youcef, and Mazari Benyounes. "Artificial Intelligence Control Applied in Wind Energy Conversion System." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 2 (June 1, 2018): 571. http://dx.doi.org/10.11591/ijpeds.v9.i2.pp571-578.

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Анотація:

The objective of this paper is to study the dynamic response of the wind energy conversion system (WECS) based on the Doubly Fed Induction Generator (DFIG). The DFIG rotor is connected to the grid via a converter. The active and reactive power control is realized by the DFIG rotor variables control, using the field oriented control (FOC). The vector control of DFIG is applied by the use of tow regulators PI and the neural network regulator (NN). The generator mathematical model is implemented in Matlab/ Simulink software to simulate a DFIG of 1.5 MW in order to show the efficiency of the performances and robustness of the studied control systems. The simulation obtained results shows that the robustness and response time of the neural network regulator is better than those obtained by the PI classical regulator.

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45

Zhang, Jian Hua, Hao Ran Shen, Lei Ding, and Chun Lei Dai. "The Transient Characteristics Analysis of Doubly-Fed Induction Generator during the Asymmetric Voltage Sag." Applied Mechanics and Materials 644-650 (September 2014): 3509–14. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3509.

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Анотація:

In order to analyze the control strategy of the low voltage ride through (LVRT) of DFIG during the asymmetric voltage sag, it is necessary to analyze the transient performance of a DFIG during the asymmetric voltage sag. In this paper, analyzed the influence of the asymmetric grid voltage to DFIG and the analysis method of the asymmetric voltage sag, and on the basis of positive and negative sequence mathematical model, analyzed the composition of stator output active and reactive power under the condition of asymmetric grid voltage. And built a DFIG asymmetric voltage drop simulation model of 1.5MW in MATLAB/Simulink, the simulation results shows that the stator voltage, current, active power and reactive power all present a double frequency ripple during the asymmetric voltage sag, consistent with theoretical analysis. It can provide theoretical basis for double-fed motor control strategy of asymmetric LVRT.

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46

He, Shan, Wei Qing Wang, Hai Yun Wang, Xin Yan Zhang, Jing Cheng, and Jie Chen. "Research on Electrical Power System with Analysis of Fault Operation State Magnetic Field about DFIG in Wind Power." Advanced Materials Research 676 (March 2013): 181–85. http://dx.doi.org/10.4028/www.scientific.net/amr.676.181.

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Анотація:

Doubly-fed Induction Generator (DFIG) is an important equipment in electrical power system. Operation state of DFIG is complex: it works at subsynchronism, synchronization and hypersynchrony state. Electromagnetic field is various. There is winding on stator and rotor, it’s more possible for fault to happen. Text discuss structure of DFIG, finite element method (FEM) model including stator rotor and air-gap is created, typical magnetic field is calculated including normal operation state, turn-to-turn and single-phase short-circuit happened, result is analysed, distribution discipline of multiple magnetic field is obtained. It provide the evidence to early failure prediction, basic data to develop and design high-capacity generator, optimize structure and magnetic field analysis of DFIG.

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Hernández-Mayoral, Emmanuel, Efraín Dueñas-Reyes, Reynaldo Iracheta-Cortez, Eduardo Campos-Mercado, Vicente Torres-García, and Rafael Uriza-Gosebruch. "Modeling and Validation of the Switching Techniques Applied to Back-to-Back Power Converter Connected to a DFIG-Based Wind Turbine for Harmonic Analysis." Electronics 10, no. 23 (December 6, 2021): 3046. http://dx.doi.org/10.3390/electronics10233046.

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Анотація:

Most power quality problems for electrical grids connected to Doubly-Fed Induction Generators (DFIGs) include flicker, variations of the RMS voltage profile, and injected harmonics because of switching in power converters. These converters have different topologies with the back-to-back (B2B) topology being the most exploited in high-powered three-phase systems. Therefore, in this article a model of a DFIG connected to the B2B power converter is proposed to which different switching techniques are implemented for interharmonic propagation studies. The switching techniques that are implemented include the Sinusoidal PWM (SPWM), the third harmonic injection PWM (THIPWM), and the space vector PWM (SVPWM), to reduce the Total Harmonic Distortion (THD) index of voltage and current in both windings of the machine. MATLAB-Simulink® software is used for modeling and simulating the B2B power converter and the switching techniques. The proposed model is validated with an experimental prototype that includes a 3-kW DFIG, a 10 HP motor, a gear-box with a transmission ratio of 4.5: 1, a B2B power converter, and a three-phase transformer connecting the system to the electrical grid. Finally, it is shown that the results obtained from the experimental tests corroborate the correct operation of the proposed model.

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48

Wang, Ying, Zhi Ce Zou, and Xian Yong Xiao. "Sensitivity Analysis in Transient Rotor Current Model and Control of DFIG during Voltage Sags." Advanced Materials Research 722 (July 2013): 147–52. http://dx.doi.org/10.4028/www.scientific.net/amr.722.147.

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Анотація:

The purposes to improve low voltage ride through (LVRT) capability of double-fed induction generator (DFIG) is to reduce rotor over-current during voltage sags. The rotor transient characteristic and its influencing factors are considered. The transient rotor current model is studied in detail. Then, the influencing degrees of structural and state parameters are determined. By sensitivity analysis, the influence degree is evaluated quantitatively. The simulation results have shown that the proposed method can provide theoretical basis to improve LVRT capability of DFIG..

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49

Li, Jing, Tao Zheng, and Zengping Wang. "Short-Circuit Current Calculation and Harmonic Characteristic Analysis for a Doubly-Fed Induction Generator Wind Turbine under Converter Control." Energies 11, no. 9 (September 17, 2018): 2471. http://dx.doi.org/10.3390/en11092471.

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An accurate calculation of short-circuit current (SCC) is very important for relay protection setting and optimization design of electrical equipment. The short-circuit current for a doubly-fed induction generator wind turbine (DFIG-WT) under excitation regulation of a converter contains the stator current and grid-side converter (GSC) current. The transient characteristics of GSC current are controlled by double closed-loops of the converter and influenced by fluctuations of direct current (DC) bus voltage, which is characterized as high order, multiple variables, and strong coupling, resulting in great difficulty with analysis. Existing studies are mainly focused on the stator current, neglecting or only considering the steady-state short-circuit current of GSC, resulting in errors in the short-circuit calculation of DFIG-WT. This paper constructs a DFIG-WT total current analytical model involving GSC current. Based on Fourier decomposition of switch functions and the frequency domain analytical method, the fluctuation of DC bus voltage is considered and described in detail. With the proposed DFIG-WT short-circuit current analytical model, the generation mechanism and evolution law of harmonic components are revealed quantitatively, especially the second harmonic component, which has a great influence on transformer protection. The accuracies of the theoretical analysis and mathematical model are verified by comparing calculation results with simulation results and low-voltage ride-through (LVRT) field test data of a real DFIG.

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50

Kroplewski, Paweł, Marcin Morawiec, Andrzej Jąderko, and Charles Odeh. "Simulation Studies of Control Systems for Doubly Fed Induction Generator Supplied by the Current Source Converter." Energies 14, no. 5 (March 9, 2021): 1511. http://dx.doi.org/10.3390/en14051511.

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Анотація:

The control system for a Doubly Fed Induction Generator (DFIG) supplied by a grid-connected Current Source Converter (CSC) is presented in this paper. Nonlinear transformation of DFIG model to the multi-scalar form is proposed. The nonlinear control strategy of active and reactive power of DFIG is realized by feedback linearization. In the proposed control scheme, the DFIG model and CSI parameters are included. Two Proportional-Integral (PI) controllers are dedicated for the control of the respective active and reactive powers. The control variables are the dc-link input voltage vector and the angular speed of the inverter output current. The proposed control approach is characterized by satisfactional dynamics and provides enhanced quality of the power transferred to the grid. In the simulation, evaluation of the characteristic operating states of the generator system, correctness of the feedback linearization and the dynamics of active and reactive power control loops are studied. Simulation results are adequately provided.

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