Статті в журналах: "SEIG"

1

Al-Senaidi, Saleh, Abdulrahman Alolah, and Majeed Alkanhal. "Magnetization-Dependent Core-Loss Model in a Three-Phase Self-Excited Induction Generator." Energies 11, no. 11 (November 21, 2018): 3228. http://dx.doi.org/10.3390/en11113228.

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Steady-state, transient, as well as dynamic analyses of self-excited induction generators (SEIGs) are generally well-documented. However, in most of the documented studies, core losses have been neglected or inaccurately modeled. This paper is concerned with the accurate modeling of core losses in SEIG analysis. The core loss is presented as a function related to the level of saturation. This relation is determined experimentally and integrated into a nonlinear model of the SEIG. The nonlinear model is solved using a mathematical optimization scheme to obtain the performance parameters of the SEIG. A new set of curves describing accurate behavior of the SEIG parameters is produced and presented in this paper. The computed parameters of the model are validated experimentally, and the agreement attained demonstrates the functionality and accuracy of the proposed core-loss model.

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2

Madeira, Filipe C., João F. P. Fernandes, Modesto Pérez-Sánchez, P. Amparo López-Jiménez, Helena M. Ramos, and P. J. Costa Branco. "Electro-Hydraulic Transient Regimes in Isolated Pumps Working as Turbines with Self-Excited Induction Generators." Energies 13, no. 17 (September 1, 2020): 4521. http://dx.doi.org/10.3390/en13174521.

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The use of pumps working as turbines (PATs) is a sustainable technical measure that contributes to the improvement of energy efficiency in water systems. However, its performance analysis in off-grid recovery systems is a complex task that must consider both hydraulic (PAT) and electrical machines (typically a self-excited induction generator-SEIG). Aside from several kinds of research that analyze the PAT-SEIG behavior under steady-state constant hydraulic and electrical conditions, this research focuses on the analysis of PAT-SEIG transient regimes, by analyzing their variation when a sudden change occurs in the hydraulic or electrical components. Analytical models were developed to represent the operation of SEIG, PAT, and the PAT-SEIG coupled system. Hydraulic and electromechanical experimental tests validated these models. An excellent fit was obtained when analytical and experimental values were compared. With these models, the impact on the operation of the PAT-SEIG system was examined when sudden change occurred in the excitation capacitances, resistive loads, or recovered head. With a sudden increase of resistive load, the hydraulic power and SEIG stator current remain almost constant. However, there is an increase of SEIG reactive power, decreasing the PAT-SEIG efficiency. Also, with a sudden increase of SEIG capacitors or PAT hydraulic head, the SEIG stator current increases once and not again, while PAT-SEIG efficiency decreases, but the induction generator can be overloaded. The development of this research is key to the advancement of future models which can analyze the coupling of micro-hydropower solutions.

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3

Dalei, Jyotirmayee, and Kanungo Barada Mohanty. "An approach to estimate and control SEIG voltage and frequency using CORDIC algorithm." Transactions of the Institute of Measurement and Control 39, no. 6 (July 22, 2016): 861–71. http://dx.doi.org/10.1177/0142331215621374.

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In wind energy generation, self-excited induction generators (SEIGs) are playing a vital role in isolated areas where the extension of the grid is not feasible. But the major problem with such generators are their inability to maintain the terminal voltage and frequency constant with the load. Many SEIG systems require the computation of peak voltage and frequency for the subsequent feeding to a voltage and frequency controller for processing. In this paper, a new technique for computing the peak voltage of a SEIG using the COordinate Rotation DIgital Computer (CORDIC) algorithm is proposed. The proposed peak voltage estimation scheme requires only one voltage sensor. The SEIG voltage and frequency is controlled using a generalized impedance controller. To validate the simulation results obtained from MATLAB/Simulink, an experiment is also carried out using a TMS320F2812 DSP processor.

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4

R., Essaki Raj, and Sundaramoorthy Sridhar. "Grey wolf optimizer algorithm for the performance predetermination of variable speed self-excited induction generators." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 41, no. 1 (December 8, 2021): 319–33. http://dx.doi.org/10.1108/compel-06-2021-0197.

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Purpose This paper aims to apply grey wolf optimizer (GWO) algorithm for steady state analysis of self-excited induction generators (SEIGs) supplying isolated loads. Design/methodology/approach Taking the equivalent circuit of SEIG, the impedances representing the stator, rotor and the connected load are reduced to a single loop impedance in terms of the unknown frequency, magnetizing reactance and core loss resistance for the given rotor speed. This loop impedance is taken as the objective function and minimized using GWO to solve for the unknown parameters. By including the value of the desired voltage as a constraint, the formulated objective function is also extended for estimating the required excitation capacitance. Findings The experimental results obtained on a three phase 415 V, 3.5 kW SEIG and the corresponding predetermined performance characteristics agree closely, thereby validating the proposed GWO method. Moreover, a comparative study of GWO with genetic algorithm and particle swarm optimization techniques reveals that GWO exhibits much quicker convergence of the objective function. Originality/value The important contributions of this paper are as follows: for the first time, GWO has been introduced for the SEIG performance predetermination and computation of the excitation capacitance for attaining the desired terminal voltage for the given load and speed; the predicted performance accuracy is improved by considering the variable core loss of the SEIG; and GWO does not require derivations of lengthy equations for calculating the SEIG performance.

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5

Greiner, Alyson L. "In MemoriamLouis Seig (1931-2003)." Journal of Cultural Geography 21, no. 1 (September 2003): 121–26. http://dx.doi.org/10.1080/08873630309478269.

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6

Stubhaug, Arild. "Haldningar er ein seig materie." Tidsskrift for Den norske legeforening 134, no. 17 (2014): 1720. http://dx.doi.org/10.4045/tidsskr.14.0907.

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7

Nazir, Refdinal, Syafii Syafii, Andi Pawawoi, Fajril Akbar, and Yudi Arfan. "Effect analysis of residual magnetism availability level on the success of voltage generation processes in self-excited induction generators." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 3 (September 1, 2020): 1211. http://dx.doi.org/10.11591/ijpeds.v11.i3.pp1211-1219.

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The voltage generation process is a very crucial initial stage for the successful operation of the self-excited induction generator (SEIG). The availability of residual magnetism and the adequacy of excitation capacitor value are factors that determine the success of the voltage generation process on the SEIG. This paper analyzes the effect of the availability of residual magnetism on the rotor's magnetic core. With a simple approach, the terminal voltage on the SEIG can be solved through the intersection between the magnetization curve (Xm) and the excitation curve (Xce). The shape and equation of the magnetization curve will be affected by the availability of residual magnetism. The change in residual magnetism availability will cause a change in the intersection point between the magnetization curve (Xm) and the excitation curve (Xce), which will determine the value of voltage generated by the generator. In this study, Newton Rhapson's method with numerical iteration approach has been used to analyze the effect of changes in the availability of residual magnetism on the success of voltage generation on the SEIG. The analysis results have been shown that the availability of residual magnetism with residual voltage values below 1.04 Volt will cause the failure of the SEIG to generate the terminal voltage at its nominal value. Meanwhile, the availability of residual magnetism in SEIG with residual voltage values above 1.04 Volt, will succeed in generating terminal voltage at its nominal value. For SEIG used as the object of this study, the value of Eres = 1.04 Volt is a critical value of the availability of residual magnetism.

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8

Benhacine, Tarek Zine Eddine, Ali Nesba, Said Mekhtoub, and Rachid Ibtiouen. "A new approach for steady state analysis of three-phase SEIG feeding single-phase load." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 1 (January 7, 2019): 46–67. http://dx.doi.org/10.1108/compel-11-2017-0474.

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Purpose This paper aims to deal with a modified-based approach for the evaluation of the steady state performances of three-phase self-excited induction generator (SEIG) feeding single-phase load. Design/methodology/approach Using the symmetrical components method, the proposed approach is based on a modified model of unbalanced three-phase SEIG, which is formulated similarly to the well-known model of balanced three-phase SEIG. Owing to this modified model, the determination of the SEIG operating point amounts to the resolution of two semi-decoupled nonlinear equations for two unknowns; the magnetizing reactance and the per-unit frequency. A simple resolution method based on an iterative two-step technique is used. The results obtained by the proposed approach are compared with those given by a conventional approach and are validated experimentally. Findings The proposed approach is as accurate as the conventional approach. Further, for the same accuracy degree, the proposed approach permits to speed up the resolution when compared to the conventional approach, as only few iterations are required for the convergence. The proposed approach was also successfully used for the steady state analysis of SEIG under generalized unbalanced loading conditions. Practical implications The determination of the operating point of the generator is based on a modified model of the generator and a simple iterative resolution method. The calculation technique can be implemented on low resource controller to provide online voltage control of the SEIG. Originality/value The paper contains two main originalities. The first one consists in a modified formulation of the SEIG model under unbalanced loading conditions. The modified formulation permits the use of the well-known model of balanced three-phase SEIG. Unlike previous ones reported in the literature, the proposed model does not require tedious algebraic manipulations. The second originality is the use of two-step technique to solve the equations, which permits to avoid laborious mathematical derivations and manipulating high-order polynomials.

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9

Alkhayyat, Mahmood T., Ziad Saeed Mohammed, and Ahmed J. Ali. "Performance improvement of stand-alone induction generator using distribution SSC for wind power application." Bulletin of Electrical Engineering and Informatics 11, no. 2 (April 1, 2022): 589–601. http://dx.doi.org/10.11591/eei.v11i2.2730.

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Self-excited induction generators (SEIGs) are used in wind turbine system because of high reliability, rigidity, simple structure, and capability to work under severe badly operating conditions. This type of generator has a poor terminal voltage and frequency regulation during changing the connected loads due to the absence of constant excitation current. Therefore, it is essential to stabilize the generated voltage and frequency besides suppress the injected harmonic current components. In this work, the dynamic performance of SEIG with distribution static series compensator (DSSC) is analyzed. The DSSC based on neuro-fuzzy controlled (NFC) is applied to control both voltage and frequency to enhance the regulation of SEIG. The NFC is used to control the DSSC which leads to balance the requirement of the reactive and active power of stand-alone grid under load variation and attempts to obtain a constant terminal voltage. The model is simulated using MATLAB/Simulink. The NFC structure designed to regulate and control the output voltage of the SEIG driven by a wind turbine to feed a consumer in remote and rural places. Furthermore, the power system parameters calculated depending on the d-q theory. Modeling results explained that the suggested controller is consistent and tough related to the conventional types.

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10

Nazir, Refdinal, Krismadinata Krismadinata, and Rizka Amalia. "The Camparison of Harmonic Distortion Self-Excited Induction Generator with Isolated Synchronous Generator under Non-linear Loads." International Journal of Power Electronics and Drive Systems (IJPEDS) 6, no. 4 (December 1, 2015): 759. http://dx.doi.org/10.11591/ijpeds.v6.i4.pp759-771.

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In this paper, the harmonic distortion for Self-Excited Induction Generator (SEIG) and an isolated synchronous generator (ISG) under non-linear load during steady state conditions are analyzed. The voltage and current harmonics distortion for both generators are calculated using the transfer function method in frequency domain for SEIG and phasor diagram method for ISG. This analysis is done independently one by one component for all harmonic components appear. The analysis results for both generators are verified to the laboratory test results. For loading with the same non-linear load to both generators, the harmonics distortion on the stator windings of SEIG was smaller than compare ISG. In addition, the harmonic distortion effects on other loads connected to PCC point of SEIG was lower than the other loads connected to ISG.

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11

Nesba, Ali, Rachid Ibtiouen, and Omar Touhami. "Dynamic performances of self-excited induction generator feeding different static loads." Serbian Journal of Electrical Engineering 3, no. 1 (2006): 63–76. http://dx.doi.org/10.2298/sjee0601063n.

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The paper examines the dynamic performances of a three-phase self excited induction generator (SEIG) during sudden connection of static loads. A dynamic flux model of the SEIG in the ?-? axis stationary reference frame is presented. The main flux saturation effect in the SEIG is accounted for by using an accurate technique. The cases of purely resistive, inductive and capacitive load are amply discussed. Models for all of these three-phase load in the ?-? axis stationary reference frame are also given. The analysis presented is validated experimentally.

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12

Nazir, Refdinal, Syafii Syafii, Andi Pawawoi, Fadjril Akbar, and Axel Doriza. "Differences in the impact of harmonic distortion due to the installation of electronic load controller in self-excited induction generator and synchronous generator." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 1 (March 1, 2019): 104. http://dx.doi.org/10.11591/ijpeds.v10.i1.pp104-116.

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In general, the application of Self-Excited Induction Generator (SEIG) or Synchronous Generator (SG) on the Stand-Alone Micro Hydel Power Plant (MHPP) is equipped with Electronic Load Controller (ELC) to control generator output during variations in consumer load. One type of ELC that is cheap and rigid developed today is the ELC, which is constructed by the uncontrolled bridge rectifier with DC Chopper. Based on the operational concept, basically this type of ELC can be implemented on both SEIG and SG, but both of these generators will have a different harmonic distortion effect on the output and its load. This paper examines the differences in the effects of harmonic distortions due to ELC installation on SEIG and SG. The initial stage of this study was to design the ELC developed. Then, the harmonic distortion response due to the installation of ELC on SEIG and SG is tested, which includes harmonic distortion in: stator current, PCC voltage, and consumer load current. THDI (Current Total Harmonic Distortion) stator current at SEIG with ELC has shown an average value smaller than the THD stator current in SG with ELC. Likewise, the THDV (Voltage Total Harmonic Distortion) value of PCC voltage and THDI value of the current consumer load on SEIG equipped with ELC has been shown to be smaller than the THDV value of PCC voltage and THDI value of the current consumer load on SG equipped with ELC. The effects of harmonic distortions due to the installation of ELCs that developed in this study on SEIG is still within the permitted limits, while on the SG, the harmonic distortion reduction is needed at the generator output.

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13

Ali, Ahmed J., Mohammed Y. Suliman, Laith A. Khalaf, and Nashwan S. Sultan. "Performance investigation of stand-alone induction generator based on STATCOM for wind power application." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (December 1, 2020): 5570. http://dx.doi.org/10.11591/ijece.v10i6.pp5570-5578.

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Self-Excited induction generators (SEIG) display a low voltage and frequency regulation due to variable applied load and input rotation speed. Current work presents a simulation and performance analysis of a three-phase wind-driven, SEIG connect to a three-phase load. In addition, an investigation of the dynamic operation of the induction generator from starting steady state until no-load operation. It is assumed that the input mechanical power is constant where the rotor of the SEIG rotates at a constant speed. The value of the excitation capacitance which is necessary to the operation of the induction generator also computed to ensure a smooth and self-excitation starting. The output voltage of the generator is adjusted by varying the reactive power injected by STATCOM. A 3-phase IGBT voltage source inverter with a fuel cell input supply is connected as STATCOM which is used to compensate for the reduction in the supply voltage and its frequency due to variation occurred in the applied loads. This work includes introducing a neuro-fuzzyy logic controller to enhance the performance of the SEIG by regulation the generated voltage and frequency The dynamic model of SEIG with STATCOM and loads are implemented using MATLAB/SIMULINK

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14

Hakim, Ermanu Azizul, Rahayu Pandunengsih, Diding Suhardi, and Novendra Setyawan. "Kontrol Tegangan Self-Excited Induction Generator dengan Electronic Load Controller Terkontrol PID-GA." IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) 10, no. 1 (April 30, 2020): 41. http://dx.doi.org/10.22146/ijeis.54197.

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Induction generator operation requires reactive power with external contactor. One of induction generator types, SEIG reactive power supplied by capacitor bank connected to generator terminal. SEIG is alternative energy conversion in small area or rural, SEIG has the main disadvantage of poor voltage regulation under various load conditions. ELC combine PID control which is optimized using Genetic Algorithm in order to maintain the stability of the voltage when the load varies. The result shows the SEIG system using ELC with PID-GA control worked to stable voltage in accordance with the standard with voltage tolerance of 10% when load change. The addition of GA to determine the value of the PID parameter where response system better with difference overshoot value start is 70.48%, when decrease load in 5 second by 44.3% and in the 10 second when increase load of 2 kW is 5.96% compared system with PID control without GA optimization.

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15

Makowski, Krzysztof, and Aleksander Leicht. "Behaviour of single-phase self-excited induction generator during short-circuit at terminals." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, no. 5 (September 3, 2018): 1815–23. http://dx.doi.org/10.1108/compel-01-2018-0027.

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PurposeThe purpose of this paper is to present analysis of short-circuit transients in a single-phase self-excited induction generator (SP-SEIG) for different capacitor topologies.Design/methodology/approachThe paper presents field analysis of the short-circuit problem in the SP-SEIG on the base of two-dimensional field-circuit model of the generator.FindingsThe carried-out field computations of the tested SP-SEIG show that the self-excited induction generator is intrinsically protected from the results of sudden short-circuit, as output voltage and current drop rapidly to zero. Short-circuit is a problem when a series capacitor is used to improve output voltage regulation. Experimental results show that re-excitation of the generator is possible after the short-circuit is removed.Originality/valueThe originality of the paper is the presented analysis of short-circuit transients at terminals of SP-SEIG. A finite elements method-based field circuit model was used. The simulation results were validated by the measurements conducted on a laboratory test setup.

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16

Mishra, Eshani, and Sachin Tiwari. "Comparative Analysis of Fuzzy Logic and PI Controller Based Electronic Load Controller for Self-Excited Induction Generator." Advances in Electrical Engineering 2017 (August 6, 2017): 1–9. http://dx.doi.org/10.1155/2017/5620830.

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Rural areas suffer from limited grid connectivity. Small hydroplants can provide electricity at a cheap cost with low environmental impact in these regions. Self-excited induction generators are widely used in hydroplants since they operate on a standalone basis because of the connection of capacitor bank that provides reactive power at no load. However, SEIGs suffer from poor voltage and frequency regulation. Thus, an electronic load controller (ELC) is connected across SEIG to regulate voltage and frequency. Generally, the control scheme for an ELC circuit is based on the conventional proportional integral control, which is easy to implement and performs well under linear load conditions. However, PI controllers handle nonlinearity poorly. This paper presents a fuzzy logic control (FLC) based control scheme for ELC in a constant power generation system (SEIG). The control scheme is designed and simulated in MATLAB under both linear and nonlinear load conditions. A comparison of both the controllers is conducted which highlights the superiority of the fuzzy logic control scheme.

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17

Rachmat Sutjipto, Heri Sungkowo, and Epiwardi Epiwardi. "ANALISIS KINERJA GENERATOR INDUKSI 3 FASA BERDASARKAN REGULASI TEGANGANNYA." Jurnal Teknik Ilmu Dan Aplikasi 3, no. 2 (October 14, 2022): 90–97. http://dx.doi.org/10.33795/jtia.v3i1.89.

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Generator induksi 3 fasa bisa digunakan sebagai generator cadangan dari operasi generator sinkron 3 fasa. Generator induksi 3 fasa dapat dibuat dari motor induksi slip ring 3 fasa atau motor sangkar 3 fasa untuk generator induksi SEIG (Self Excited Induction Generator). Motor induksi slip ring 3 fasa berfungsi sebagai generator induksi setelah belitan rotornya disuplai sumber DC dan diputar menggunakan prime mover, sedangkan pada generator SEIG, tegangan listrik dihasilkan dengan bantuan 3 kapasitor yang terhubung delta. Permasalahan yang muncul dalam pengoperasian adalah timbulnya rugi tegangan saat dilaksanakan variasi pembebanan. Untuk menjawab permasalahan tersebut maka diadakan 3 jenis pengetesan (DC Test, Open Circuit Test dan Load Test) pada kedua generator tesebut. Setelah semua percobaan dilaksanakan dan dianalisa maka diketahui bahwa besarnya tegangan output dari generator induksi 3 fasa dipengaruhi oleh besarnya kecepatan generator dan besarnya arus eksitasi. Proses eksitasi dari kedua generator tersebut berbeda, eksitasi dari generator SEIG ditentukan besar dan jenis hubungan kapasitor eksitasi sedangkan generator induksi lainnya ditentukan oleh besarnya tegangan DC yang disuplaikan ke belitan rotor. Tegangan output dari kedua generator induksi juga dipengaruhi oleh besar dan jenis bebannya. Diketahui pula bahwa generator induksi SEIG mempunyai rugi tegangan dan % regulasi tegangan yang lebih besar dikarenakan harga parameter belitannya lebih besar. Untuk menstabilkan tegangan output generator maka dapat dilaksanakan dengan mengatur besarnya arus eksitasi dan kecepatan dari kedua generator induksi tersebut, dengan tetap memperhatikan kemampuan belitan eksitasi dan frekuensi yang dibutuhkan oleh beban serta kesediaan kapasitor untuk generator SEIG.

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18

Aberbour, Adel, Kassa Idjdarene, and Abdelmounaïm Tounzi. "Performance Analysis of a Self-excited Induction Generator Mathematical Dynamic Model with Magnetic Saturation, Cross Saturation Effect and Iron Losses." Mathematical Modelling of Engineering Problems 7, no. 4 (December 18, 2020): 527–38. http://dx.doi.org/10.18280/mmep.070404.

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Construction of appropriate mathematical model of plant (object to be modeled) has especially important meaning for designing controller. A reliable and good control performance requires more detailed model. Nevertheless, the latter must be established from at least two viewpoints of preciseness and compactness. In this paper, the considered plant is a self-excited induction generator (SEIG). In order to improve the accuracy, we take into consideration in the SEIG modeling: magnetic saturation phenomenon, cross saturation effect and iron losses. To our best knowledge, this is the first time that the three mentioned phenomena have been integrated into the same and single SEIG model which is presented in an inherent mathematical form. As we will see in the results, the contribution of these three phenomena in the accuracy improvement is really significant. In addition, to achieve compactness of the proposed model, a simpler configuration is obtained for the electrical equivalent circuit associated to the studied model by using Thevenin transformation. The proposed model is built in MATLAB-SIMULINK environment and used to study and analyze the performance of a SEIG under various operating point conditions. The obtained results are compared to measurements and also to the values obtained from models without the three discussed phenomena.

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Choi, Gyo-Ho, Tae-Young Jeong, and Seok-Kwon Jeong. "Comparison of Output Characteristics on SEIG and PMSG for a Hybrid Electric Propulsion System." Journal of Power System Engineering 24, no. 1 (February 29, 2020): 39–46. http://dx.doi.org/10.9726/kspse.2020.24.1.039.

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20

Kumar, Saurabh, K. Vijayakumar, and Satyanarayana Neeli. "A SEIG-Based DC Nanogrid for Rural Electrification." Journal of The Institution of Engineers (India): Series B 100, no. 5 (April 8, 2019): 389–95. http://dx.doi.org/10.1007/s40031-019-00401-3.

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21

Na, Woonki, Eduard Muljadi, Seungyun Han, Roland Kobla Tagayi, and Jonghoon Kim. "Possibility of Power Electronics-Based Control Analysis of a Self-Excited Induction Generator (SEIG) for Wind Turbine and Electrolyzer Application." Electronics 10, no. 22 (November 10, 2021): 2743. http://dx.doi.org/10.3390/electronics10222743.

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A self-excited induction generator (SEIG) is very simple and robust, has a reduced unit size, is easy to implement and simple to control, and requires very little maintenance compared to other types of generators. In variable operating conditions, the SEIG requires a power electronics interface to transform from the variable frequency voltage output of the generator to a battery voltage output or the related applications. In our study, we tied the SEIG to the power electronics system comprising a diode rectifier and DC/DC converter, and then a final DC load for fuel cell applications was connected. An example of such an application is an electrolyzer where an equivalent circuit is modeled for use in this study. To accomplish the proposed system, we utilized PSCAD and MATLAB for its simulation, control, and analysis. A new system configuration considering three different wind speeds and breaker conditions is modeled and analyzed. The results show that the suggested strategies in this study would contribute to designing and analyzing a more practical power electronics interface system for a wind turbine generator with a DC load.

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22

Sharma, Ashish, and Gagandeep Kaur. "Assessment of Capacitance for Self-Excited Induction Generator in Sustaining Constant Air-Gap Voltage under Variable Speed and Load." Energies 11, no. 10 (September 20, 2018): 2509. http://dx.doi.org/10.3390/en11102509.

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The concept of a Self-Excited Induction Generator (SEIG) has introduced the concept of the placement of an induction machine for power generation in an isolated mode with external capacitance. The produced output voltage and generated frequency in an SEIG greatly depends on speed, load, and terminal capacitance. To maintain constant air-gap voltage against a varying speed and load, a corresponding supply of reactive power through capacitors is needed. The selection of the required capacitance while there is continuous variation of vital parameters needs a rigorous random-selection method. In this paper, an intelligent selection of suitable additional capacitance has been made by using the Fuzzy Logic Technique for a Three-Phase 5.0 HP SEIG. Additional capacitance in the range of 14.79–22.47 μF is compulsory under a varying load of 427−101 ohms, and additional capacitance in the range of 13.70–22.59 μF is essential for a varying speed of 1349 to 1672 RPM. With this promising result, we propose the implementation of this intelligent technique in place of analytical and standard methods for capacitance selection.

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23

Dhanapal, S., and R. Anita. "Voltage and Frequency Control of Stand Alone Self-Excited Induction Generator Using Photovoltaic System Based STATCOM." Journal of Circuits, Systems and Computers 25, no. 04 (February 2, 2016): 1650031. http://dx.doi.org/10.1142/s0218126616500316.

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This paper proposes the photovoltaic (PV) interfaced static synchronous compensator (STATCOM) for voltage and frequency control of wind turbine driven self-excited induction generator (SEIG) system. The PV interfaced STATCOM mainly is used for sustainable control of load voltage and frequency of the SEIG system. In addition, PV based STATCOM acts as reactive power compensator, harmonic eliminator and load balancer under balanced/unbalanced nonlinear loads. The energy storage system is incorporated to PV based STATCOM to sustain the active power under variable wind power. The proposed control method extracts the reference current with the use of fuzzy logic controller (FLC) employed in alternating current (AC) voltage control loop. The proposed topology utilizes the PV energy with an energy storage unit to meet the active power requirement of the wind power generating system. Besides, it exports the power generated in the PV system to the load during the unavailability of wind. The PV based STATCOM controlled SEIG system is subjected to different types of loads in order to assess the performance of the system under steady-state and dynamic conditions. The results obtained from the simulation and experimental setup are analyzed to ensure the performance of the proposed controller.

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24

Benlamoudi, Azzeddine, and Rachid Abdessemed. "Autonomous SEIG in a small wind power plant with voltage and frequency control." Serbian Journal of Electrical Engineering 9, no. 3 (2012): 343–59. http://dx.doi.org/10.2298/sjee1203343b.

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This paper deals with the application of an autonomous Self-Excited Induction Generator (SEIG) in a small wind power conversion system (WPCS). Such conversion system has capability to supply power demand of the loads with constant voltage and frequency, for which a power managing method is proposed. Voltage Sourced Converter (VSC) along with Battery Energy Storage System (BESS) is used to handle power flow between the SEIG and loads. The proposed control scheme, using a single voltage closed-loop control, is found to be suitable to regulate both voltage and frequency. The WPCS is modelled in MATLAB/Simulink and Power System Block-set (PSB). Simulation results show that Voltage Frequency Controller (VFC) has ability to keep the voltage and frequency constant in spite of perturbations.

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25

Reddy, S. Radha Krishna. "Review of Literature on Self-Excited Induction Generators and Controllers." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (December 31, 2021): 1576–87. http://dx.doi.org/10.22214/ijraset.2021.39584.

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Abstract: Wind energy is one of the most important and promising sources of renewable energy all over the world. Throughout the globe, in the last, three- or four-decades generation of electricity from wind energy has created a wide interest. At the same time, there has been a rapid development of wind energy-related technology. The control and estimation of wind energy conversion systems constitute a vast subject and are more complex than those of dc drives. Induction generators are widely preferable in wind farms because of their brushless construction, robustness, low maintenance requirements, and self-protection against short circuits. Low cost, robustness, and ease of maintenance are attractive features of induction generators. With wind turbine and micro/mini-hydro generators as an alternative energy source, the induction generators are being considered as an alternative choice to well-developed synchronous generators because of their simplicity, ruggedness, little maintenance, price, brushless (in squirrel cage construction), absence of separate dc source, self-protection against severe overloads and short circuits. In isolated systems, squirrel cage induction generators with capacitor excitation, known as self-excited induction generators (SEIGs), are very popular. This paper presents a review of literature related to the present status of research work on self-excited induction generators (SEIG), their terminal voltage control strategies, and over the past years discussing the classification of induction generators, steady-state and transient analysis, voltage control aspects, and parallel operation of SEIG.

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26

Elkholy, Mahmoud M. "Steady state and dynamic performance of self-excited induction generator using FACTS controller and teaching learning-based optimization algorithm." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, no. 1 (January 2, 2018): 77–97. http://dx.doi.org/10.1108/compel-12-2016-0589.

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Purpose The paper aims to present an application of teaching learning-based optimization (TLBO) algorithm and static Var compensator (SVC) to improve the steady state and dynamic performance of self-excited induction generators (SEIG). Design/methodology/approach The TLBO algorithm is applied to generate the optimal capacitance to maintain rated voltage with different types of prime mover. For a constant speed prime mover, the TLBO algorithm attains the optimal capacitance to have rated load voltage at different loading conditions. In the case of variable speed prime mover, the TLBO methodology is used to obtain the optimal capacitance and prime mover speed to have rated load voltage and frequency. The SVC of fixed capacitor and controlled reactor is used to have a fine tune in capacitance value and control the reactive power. The parameters of SVC are obtained using the TLBO algorithm. Findings The whole system of three-phase induction generator and SVC are established under MatLab/Simulink environment. The performance of the SEIG is demonstrated on two different ratings (i.e. 7.5 kW and 1.5 kW) using the TLBO algorithm and SVC. An experimental setup is built-up using a 1.5 kW three-phase induction machine to confirm the theoretical analysis. The TLBO results are matched with other meta heuristic optimization techniques. Originality/value The paper presents an application of the meta-heuristic algorithms and SVC to analysis the steady state and dynamic performance of SEIG with optimal performance.

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27

Clavel, Christophe. "Le Serveur éducatif dédié à l’information géographique (SEIG) http://seig.ensg.ign.fr/." Mappemonde 64, no. 4 (2001): 41–43. http://dx.doi.org/10.3406/mappe.2001.1707.

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28

Özer, Ali Sait, Fehmi Sevilmiş, Hulusi Karaca, and Hayri Arabacı. "Enhanced control method for voltage regulation of DSTATCOM based SEIG." Energy Reports 8 (November 2022): 839–47. http://dx.doi.org/10.1016/j.egyr.2022.05.191.

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29

Gorantla, Satyanarayana, and Goli Ravi Kumar. "Harmonic Elimination Using STATCOM for SEIG Fed Induction Motor Load." International Journal of Power Electronics and Drive Systems (IJPEDS) 8, no. 3 (September 1, 2017): 1026. http://dx.doi.org/10.11591/ijpeds.v8.i3.pp1026-1034.

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Non-linear loads connected to distribution system induce harmonics in to source components and the presence of harmonics in source components affects the performance of other sensitive loads connected at the same point. Induction motor load for drive system should be operated with variable frequency and variable voltage for its speed control. To vary the voltage and frequency, induction motor is fed from an inverter. This total drive set-up constitutes non-linear load type and will be the source of harmonics. This paper depicts the suppression of harmonics with STATCOM in distribution system when induction motor load is fed from SEIG (singly excited inductin generator). STATCOM is controlled with simple synchronous reference frame theory and the results are shown for source current, load current. THD in source current and load current was also shown for the said system. System for single-phase and three-phase induction motor drive was developed and results are shown using MATLAB/SIMULINK software.

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30

Nazir, Refdinal, Andi Pawawoi, and Riska Amalia. "Harmonic Effects Analysis of Electronic Loads Controller Controller On Self Excited Induction Generator (SEIG) Operations." Indonesian Journal of Electrical Engineering and Computer Science 8, no. 2 (November 1, 2017): 273. http://dx.doi.org/10.11591/ijeecs.v8.i2.pp273-280.

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The aplication of Electonic Load Controller (ELC) on Self-Excited Induction Generator (SEIG) driven by renewable energy sources creates harmonic issues. This paper has analyzed the propagation of the harmonic current generated by the ELC in the generator system. Mathematical modeling and computer simulation is used to analyze the propagation of harmonic currents generated by ELC on the generator system. Laboratory testing has also been conducted to justify the simulation results. The study results showed that the propagation harmonic currents created by ELC on the stator widings of SEIG and main load side are rejected for high order components, and attenuated for lower order components. Consequently, the THDI of stator and main load current will be reduced significantly.

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31

Afiqah Zainal, Nurul, Viknesh A. L. Punichelvan, and Ajisman. "Flywheel Energy Storage for Wind Energy System with SEIG-Motor Set." Applied Mechanics and Materials 793 (September 2015): 368–72. http://dx.doi.org/10.4028/www.scientific.net/amm.793.368.

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Intermittent wind energy in producing optimal power flow could lead to unstable generated power. Due to this, an energy storage that can release and absorb energy need to be used in order maintains the generated voltage at the permitted quality for the load. Nowadays, tons of energy storage systems are used in storing the energy. Flywheel energy storage system (FESS) becomes one of potential mechanism that can be used to smooth the voltage output of wind turbine due to its advantages. The aim of this study is to design and implement a FESS for critical load in a wind energy system that can store energy for a short time period. Then, period of the voltage generated by FESS using different capacitance is analyzed. FESS consists of a self-excited capacitance induction motor-generator set (SEIG), controller circuit and flywheel rotor. In this study, a three phase asynchronous induction machine is used as a motor-generator due to its simplicity, cheap, robust and less maintenance. The flywheel and SEIG-motor set could store the energy for a short period of time, which can be used to compensate for wind instability. Results show that FESS generates variable powers that compensate short time power to the wind system.

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32

Bašić, Mateo, Dinko Vukadinović, and Miljenko Polić. "Analysis of Power Converter Losses in Vector Control System of a Self–Excited Induction Generator." Journal of Electrical Engineering 65, no. 2 (March 1, 2014): 65–74. http://dx.doi.org/10.2478/jee-2014-0010.

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Abstract This paper provides analysis of losses in the hysteresis-driven three-phase power converter with IGBTs and free-wheeling diodes. The converter under consideration is part of the self-excited induction generator (SEIG) vector control system. For the analysis, the SEIG vector control system is used in which the induction generator iron losses are taken into account. The power converter losses are determined by using a suitable loss estimation algorithm reported in literature. The chosen algorithm allows the power converter losses to be determined both by type (switching/conduction losses) and by converter component (IGBT/diode losses). The overall power converter losses are determined over wide ranges of rotor speed, dc-link voltage and load resistance, and subsequently used for offline correction of the overall control system’s losses (efficiency) obtained through control system simulations with an ideal power converter. The control system’s efficiency values obtained after the correction are compared with the measured values.

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33

Tiwari, Sachin, Sushma Gupta, Shailendra Jain, and Bhim Singh. "Soft Computing Techniques for Static Series Voltage Regulator of Self Excited Induction Generator." Journal of Circuits, Systems and Computers 24, no. 02 (November 27, 2014): 1550025. http://dx.doi.org/10.1142/s0218126615500255.

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This paper deal with soft computing techniques such as artificial neural network (ANN), fuzzy logic controller (FLC) and proportional-integral (PI)-based static series voltage regulator (SSVR) for constant speed prime mover driven self excited induction generator (SEIG) feeding three phases linear and nonlinear loads. The constant speed prime mover such as biogas, biomass and gas-turbine driven standalone generating system has problem of poor voltage regulation. The SSVR is injects series voltage in to system to maintain constant source and load voltage with power quality improvement of source and load current. The SSVR is modeled using insulated gate bipolar junction transistor (IGBT)-based voltage controlled-voltage source converter (VC-VSC) with self supported DC bus. The A 7.5 kW, 415 V, 50 Hz asynchronous machine with voltage regulator and loads are designed, modeled and simulated in MATLAB environment. Simulated results are presented capability of an SEIG system with ANN, fuzzy and PI-based SSVR and their comparison.

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34

Radha Krishna Reddy, S., J. B. V. Subrahmanyam, and A. Srinivasula Reddy. "Improvement of Dynamic Performance in SEIG WECS by Using ANFIS Controller." Asian Journal of convergence in Technology 8, no. 1 (April 27, 2022): 78. http://dx.doi.org/10.33130/ajct.2022v08i01.012.

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35

Fernandes, João F. P., Modesto Pérez-Sánchez, F. Ferreira da Silva, P. Amparo López-Jiménez, Helena M. Ramos, and P. J. Costa Branco. "Optimal energy efficiency of isolated PAT systems by SEIG excitation tuning." Energy Conversion and Management 183 (March 2019): 391–405. http://dx.doi.org/10.1016/j.enconman.2019.01.016.

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36

Nigim, K. A., M. M. A. Salama, and M. Kazerani. "Solving Polynomial Algebraic Equations of the Stand Alone Induction Generator." International Journal of Electrical Engineering & Education 40, no. 1 (January 2003): 45–54. http://dx.doi.org/10.7227/ijeee.40.1.5.

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This paper describes the use of MathCAD's solving block which uses ‘Given’ and ‘Find’ built-in functions to solve nth order nonlinear algebraic equations. Introducing complex energy systems to electrical engineering students in their undergraduate studies is essential to complement many energy conversion courses. Various electric energy-capturing schemes use electric equivalent circuit models that incorporate nonlinear elements with complex mathematical formulas requiring numerical computation. Without incorporating programming tools, the taught material could be vague and a burden for both the student and the lecturer, hindering comprehension of the complexity of the system during the limited lecture hours. This paper introduces a ‘ready to use’ computational and mathematical tool that can be used to solve the non-linear equations quickly. The performance of an energy scheme with non-linear, interrelated variables such as the self-excited induction generator (SEIG) under variable excitation and loading conditions is used as an example. SEIG systems have been intensively proposed for energy capturing to supply power to remote areas from renewable energy resources such as wind and hydro prime mover systems.

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37

Dyanamina, Giribabu. "Experimental implementation of SEIG-based wind energy system using neural network controller." International Journal of Power Electronics 16, no. 2 (2022): 226. http://dx.doi.org/10.1504/ijpelec.2022.124700.

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38

Satyanarayana Gorantla et al.,, Satyanarayana Gorantla et al ,. "STATCOM for Compensation of SEIG Feeding Single-Phase and Three-Phase Loads." International Journal of Electrical and Electronics Engineering Research 7, no. 5 (2017): 1–8. http://dx.doi.org/10.24247/ijeeeroct20171.

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39

Qureshi, Amin, Ashutosh K. Giri, Sabha Raj Arya, and Sanjeevikumar Padmanaban. "Power conditioning using DSTATCOM in a single-phase SEIG-based isolated system." Electrical Engineering 104, no. 1 (November 12, 2021): 111–27. http://dx.doi.org/10.1007/s00202-021-01423-1.

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40

Dyanamina, Giribabu. "Experimental Implementation of SEIG Based Wind Energy System Using Neural Network Controller." International Journal of Power Electronics 1, no. 1 (2022): 1. http://dx.doi.org/10.1504/ijpelec.2022.10044195.

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41

Mosaad, Mohamed I. "Minimising losses of SEIG using constrained particle swarm optimisation considering voltage regulation." International Journal of Industrial Electronics and Drives 2, no. 1 (2015): 62. http://dx.doi.org/10.1504/ijied.2015.068770.

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42

Nayanar, Vellapatchi, Natarajan Kumaresan, and Nanjappa Gounder Ammasai Gounden. "Wind-driven SEIG supplying DC microgrid through a single-stage power converter." Engineering Science and Technology, an International Journal 19, no. 3 (September 2016): 1600–1607. http://dx.doi.org/10.1016/j.jestch.2016.05.016.

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43

Tandekar, Jitendra Kumar, Amit Ojha, Souvik Das, Pankaj Swarnkar, and Shailendra Jain. "SEIG‐based renewable power generation and compensation in MVDC ship power system." International Transactions on Electrical Energy Systems 29, no. 4 (December 4, 2018): e2785. http://dx.doi.org/10.1002/etep.2785.

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44

Subramanian, K., and S. P. Sabberwal. "Cost Effective Wind Energy Conversion Scheme Using Self-Excited Induction Generator." Advanced Materials Research 768 (September 2013): 143–50. http://dx.doi.org/10.4028/www.scientific.net/amr.768.143.

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This paper describes a laboratory model of a wind energy conversion scheme (WECS) using conventional cage rotor type induction motor of 3Hp, 3-Ø, 415V, 4.9A, 1440 rpm. A 220V, 20A separately excited motor coupled with the induction motor emulates the wind turbine characteristics. A 3-Ø, 415 V capacitor bank of 150μF is connected in each phase across the stator terminals of the machine for its self-excitation. As soon as rotor speed exceeds synchronous speed of the machine, it will generate electrical power and reach its rated value. This arrangement is called as self-excited induction generator (SEIG). To control the frequency of generated voltage, load-balancing technique is considered by using a three-phase diode rectifier powering to an additional load (dump load) through a d.c chopper circuit. Static reactive volt-ampere compensator (STATCOM) is used to mitigate the load reactive power requirement indeed magnetic reactance changes in the machine. Owing to cost optimization of STATCOM, additional reactor is connected across the stator terminals of the SEIG. Simulation study is completed using power system toolbox Matlab / Simulink version9.0. Experimental and simulation results are presented.

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45

S. Ejiofor, Oti, Eya U. Candidus, Madueme C. Victory, and Eze C. Ugochukwu. "Wind Energy Dynamics of the Separately Excited Induction Generator." International Journal of Applied Science 2, no. 1 (January 29, 2019): p22. http://dx.doi.org/10.30560/ijas.v2n1p22.

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This paper covers the analysis, dynamic modelling and control of an isolated self-excited induction generator (SEIG) driven by a wind turbine. The proposed dynamic model consists of induction generator, self-excitation capacitance and load model which are expressed in stationary d-q reference frame. The dynamic performance of SEIG is investigated under no load and on load. To predict the performance of the system, a MATLAB based simulation study using matlab embedded function block was carried out. Simulations from the variations of the speed and load display the dynamic behavior of the generator. A constant capacitor value of 100 micro-farads was used in this work. The simulation results obtained illustrate the changes in the voltage, currents, torque and magnetizing inductance of the generator. The wind velocity increase led to the increase in mechanical input from the wind turbine. This results in the increased rotor speed leading also to increased stator phase voltage. The obtained simulations also show that the output voltage of the induction generator depends greatly on its shaft speed and load; this poses a potential threat as it is capable of causing a significant variation in the power consumption in the load of the machine.

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46

Senthilkumar, S., N. Kumaresan, N. Rakesh, K. Vijayakumar, and M. Subbiah. "Wind-Driven SEIGs for Supplying Isolated Loads Employing DSP Based Power Electronic Controllers." Wind Engineering 36, no. 6 (December 2012): 739–57. http://dx.doi.org/10.1260/0309-524x.36.6.739.

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A DSP based closed-loop system has been developed for wind-driven three-phase Self-Excited Induction Generators (SEIGs) using a diode bridge rectifier (DBR) followed by an IGBT inverter. This system is meant for supplying isolated ac loads with a voltage of constant magnitude and frequency, for any operating condition of varying nature of wind speed and consumer load. The configuration and implementation of this proposed system have been fully described. The detailed method of analysing and predetermining the performance characteristics of such stand-alone systems has also been explained. Test results obtained on an SEIG operated with the controller built in the laboratory, demonstrate the successful working of both the hardware and software of the control scheme and the usefulness of the set-up as a whole for supplying isolated ac loads. With the varying nature of wind speed, a method of meeting the power balance between the wind power available and the load power requirement has also been explained with extensive Simulation studies.

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47

Abdullah Nasir, Bilal. "An accurate dynamical model of induction generator utilized in wind energy systems." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 3 (September 1, 2022): 1185. http://dx.doi.org/10.11591/ijeecs.v27.i3.pp1185-1198.

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Due to the advantages of a self-excited induction generator (SEIG), it plays a main role in sources of renewable energy, such as wind turbines (WT). The regulation of terminal voltage and frequency is poor under variable rotor speed and load conditions at stand-alone operation mode. The generator terminal voltage depends on the excitation capacitance which can be controlled by a capacitor bank and static voltage compensator. The dynamical model of the machine is described by differential equations in D-Q axes transformations of the synchronously rotating frame. Many models of analysis are proposed in the literature. In those models, several approximations are used to simplify the process of calculations, such as neglecting the iron core resistance, stray load resistance, stator and rotor leakage reactance, and magnetic saturation. In this work, a comprehensive dynamic model of the SEIG-WT is performed to analyze the system performance under transient and steady-state conditions. This dynamic model considers the effect of all machine parameters variation. New analytical formulas are used for to accurate calculation of minimum and maximum values of excitation capacitance and generator rotor cut-off and maximum speed. The dynamic model results are partially compared with experimental results, and accurate agreement is shown.

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48

Krishna V, B. Murali. "Design and Simulation of Voltage Sensor-based Electronic Load Balance Controller for SEIG based Isolated Load Applications." Journal of Advanced Research in Dynamical and Control Systems 12, no. 3 (March 20, 2020): 345–52. http://dx.doi.org/10.5373/jardcs/v12i3/20201200.

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49

Dewangan, Sanjay, and Shelly Vadhera. "Performance Evaluation of Multilevel Inverter in Variable Speed SEIG-Based Wind Energy System." Arabian Journal for Science and Engineering 47, no. 3 (September 28, 2021): 3311–24. http://dx.doi.org/10.1007/s13369-021-06197-z.

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50

Taghikhani, M. A., and A. D. Farahani. "A Reactive Power Based Reference Model for Adaptive Control Strategy in a SEIG." Engineering, Technology & Applied Science Research 8, no. 1 (February 20, 2018): 2477–84. http://dx.doi.org/10.48084/etasr.1701.

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In this paper, a new control strategy is proposed for a three-phase squirrel-cage self-excited induction generator (SEIG) connected to a variable speed wind turbine in autonomous mode. In order to improve the dynamic performance of the mentioned vector control system, a model reference adaptive controller is used for online rotor time constant estimation. Thus, the main drawbacks of this method, which include the effects of the changes in machine parameters on rotor flux estimation, slip speed, the creation of instability problems and the system leaving vector control mode, are resolved. In this control strategy, a PI controller is used to control the dc voltage and three similar hysteresis current controllers (HCC) are used to control the switching of IGBTs. The results of the dynamic simulation indicate the desirable performance of the proposed system.

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