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Relevant bibliographies by topics / Wind based microgrid

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Academic literature on the topic 'Wind based microgrid'

Author: Grafiati

Published: 6 September 2023

Last updated: 7 September 2023

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Journal articles on the topic "Wind based microgrid"

1

Huang, Jing, and Kui Wu. "Energy Optimal Scheduling Method of Microgrid with Wind and Solar Storage Based on Demand Response." Journal of Physics: Conference Series 2503, no. 1 (May 1, 2023): 012017. http://dx.doi.org/10.1088/1742-6596/2503/1/012017.

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Abstract In the operation of a microgrid with wind and light storage, energy dispatching will directly affect its operating cost, which is a core technology of microgrid operation. This paper designs an energy optimization method for a microgrid with wind and solar storage based on demand response to realizing more scientific micro-power energy scheduling. Considering the wind-solar storage microgrid’s lowest demand response cost and other comprehensive costs, an energy-optimal scheduling model of the wind-solar storage microgrid is constructed. The model sets the constraints of energy storage devices and ties line transmission power and power balance. A model-solving algorithm based on an improved particle swarm optimization algorithm is designed to realize the optimal energy scheduling of wind and solar storage microgrids. The experimental results show that the cost of microgrid operation has decreased in winter and summer after the optimal scheduling is implemented using the design method, and an excellent economic operation effect has been achieved.

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Hou, YiSen, and Yan Yan. "Optimized wind-light-storage configuration based on Homer pro." Journal of Physics: Conference Series 2303, no. 1 (July 1, 2022): 012037. http://dx.doi.org/10.1088/1742-6596/2303/1/012037.

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Abstract With the increasing shortage of energy and increasing demand for electricity, renewable energy microgrids have become the future trend of power grids. However, due to the strong uncertainty of its power generation, improving the stability of power system operation and reducing the cost of microgrid configuration have become important issues for the optimization of microgrid configuration. To address the above problems, this paper proposes a wind-light storage system, and establishes a model for optimal allocation of microgrid capacity with the minimum net present value of this system as the objective function. The relevant parameters are entered into Homer Pro software, which performs simulation calculations to obtain the configuration solution with the best economy and performance.

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Bayasgalan, Zagdkhorol, and Munkhtuya Erdenebat. "Realization of Fuzzy Logic Controller in Microgrid for Mongolian case." Embedded Selforganising Systems 9, no. 1 (July 5, 2022): 15–19. http://dx.doi.org/10.14464/ess.v9i1.511.

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This paper presents the development and simulation of photovoltaic (PV), wind turbine and battery energy storage system (BESS) based microgrid in a Mongolian case. Although many standalone solar and wind microgrids are installed in Mongolia, they are not operating at total capacity and reliably due to a lack of control and proper use. The microgrid system operates in autonomous mode to serve the loads. To effectively control the microgrid voltage and frequency and achieve smoother power flow control between the generation and consumption, voltage–frequency (V/F) control based on the fuzzy logic controller (FLC) is proposed. Even though there are sudden load variations in the system and fluctuations in PV output power, the microgrid voltage and frequency are effectively maintained within limits by the proposed FLC. A fuzzy logic controller is used for an off-grid operated Microgrid constituted by the solar system, wind system and battery. The PV, wind turbine and BESS based microgrid system are simulated using Matlab/Simulink.

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Yu, Changle, Shuo Zhang, Yanchen Ji, and Peng Xu. "Research on the construction of new energy microgrids for wind power generation based on green and low carbon." Journal of Physics: Conference Series 2427, no. 1 (February 1, 2023): 012013. http://dx.doi.org/10.1088/1742-6596/2427/1/012013.

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Abstract At present, the supply mode of fossil fuel as energy in China has caused more and more damage to the environment. In order to meet the demand for sustainable development, research on the construction of new energy microgrids for wind power generation based on green and low-carbon is proposed. Firstly, the equivalent model of the wind power generation system is established, and then the wind power generation new energy microgrid with a wind turbine as the core is built based on the specific value calculated by the model. Finally, the conventional new energy microgrid construction scheme is selected as the comparative object, and the comparative experiment is carried out to prove the practicability of the method. The comparative experimental results show that the microgrid constructed by the proposed green and low-carbon wind power generation new energy microgrid construction method is superior to the traditional construction scheme in operating power, can meet the green and low-carbon energy development needs, and can provide a reference value for similar research schemes.

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Ghorbani, Sajad, Rainer Unland, Hassan Shokouhandeh, and Ryszard Kowalczyk. "An Innovative Stochastic Multi-Agent-Based Energy Management Approach for Microgrids Considering Uncertainties." Inventions 4, no. 3 (July 29, 2019): 37. http://dx.doi.org/10.3390/inventions4030037.

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In microgrids a major share of the energy production comes from renewable energy sources such as photovoltaic panels or wind turbines. The intermittent nature of these types of producers along with the fluctuation in energy demand can destabilize the grid if not dealt with properly. This paper presents a multi-agent-based energy management approach for a non-isolated microgrid with solar and wind units and in the presence of demand response, considering uncertainty in generation and load. More specifically, a modified version of the lightning search algorithm, along with the weighted objective function of the current microgrid cost, based on different scenarios for the energy management of the microgrid, is proposed. The probability density functions of the solar and wind power outputs, as well as the demand of the households, have been used to determine the amount of uncertainty and to plan various scenarios. We also used a particle swarm optimization algorithm for the microgrid energy management and compared the optimization results obtained from the two algorithms. The simulation results show that uncertainty in the microgrid normally has a significant effect on the outcomes, and failure to consider it would lead to inaccurate management methods. Moreover, the results confirm the excellent performance of the proposed approach.

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Hang, Zhao Zi. "Optimal Scheduling of DC Microgrids based on MOPSO Algorithm." Scholars Journal of Engineering and Technology 11, no. 03 (March 25, 2023): 45–52. http://dx.doi.org/10.36347/sjet.2023.v11i03.005.

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The DC microgrid system contains a variety of distributed power sources, but the distributed power sources are uncertain and intermittent. In order to improve the economy of DC microgrid operation, mainly to reduce the microgrid operation cost and environmental management cost, and at the same time the largest proportion of scenery consumption, the optimization algorithm is effective for microgrid for optimal scheduling. A multi-objective optimal scheduling model for microgrids is established. A microgrid model with wind, photovoltaic, micro gas turbine and energy storage is constructed and solved using a multi-objective particle swarm algorithm. The multi-objective particle swarm algorithm is invoked for a typical 24h daily isolated micro-grid system in a certain region. The simulation results show that the optimal dispatching scheme can effectively improve the economy of the microgrid, reduce its operating costs as well as the ability to consume renewable energy scenery power.

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Nazia, S. B., and A. Satish Babu. "An Advanced Control and Stability Analysis of Wind Solar Integrated Microgrid." Journal of Energy Engineering and Thermodynamics, no. 32 (February 2, 2023): 1–11. http://dx.doi.org/10.55529/jeet32.1.11.

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In this article, we suggest a micro-grid methodology based on renewable energy sources (RES) in order to make more efficient use of renewable energy sources and use less energy from the traditional power grid. Off-grid, RES likes solar (generated by a photovoltaic panel) and wind can be stored in a battery and utilised to power loads. As an additional measure, a Fuzzy logic-based energy-saving method has been applied. Microgrids are used to integrate these systems in a decentralised fashion, and they provide a suite of technology solutions that facilitate communication between end users and dispersed power plants. This raises the question of how best to administer these systems. In order to guarantee that both the generating and distribution systems produce energy at low operating costs, energy management in microgrids is described as a data and monitoring network that allows the required functions. In this study, we discuss the difficulties associated with using RES and managing a microgrid. Voltage and frequency variations result from the dynamic nature of DG systems. Unpredictable dynamics result from the load's unknowability. As a result of this nonlinear dynamic, there are observable changes to the microgrid's operation. In this study, we test the efficiency of the microgrid in a variety of settings. We compare the PI controller's performance on the MATLAB/Simulink platform to that of a Fuzzy logic-based controller with various levels of complexity.

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Nazia, S. B., and A. Satish Babu. "An Advanced Control and Stability Analysis of Wind Solar Integrated Microgrid." Journal of Energy Engineering and Thermodynamics, no. 32 (February 2, 2023): 1–11. http://dx.doi.org/10.55529/jeet.32.1.11.

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In this article, we suggest a micro-grid methodology based on renewable energy sources (RES) in order to make more efficient use of renewable energy sources and use less energy from the traditional power grid. Off-grid, RES likes solar (generated by a photovoltaic panel) and wind can be stored in a battery and utilised to power loads. As an additional measure, a Fuzzy logic-based energy-saving method has been applied. Microgrids are used to integrate these systems in a decentralised fashion, and they provide a suite of technology solutions that facilitate communication between end users and dispersed power plants. This raises the question of how best to administer these systems. In order to guarantee that both the generating and distribution systems produce energy at low operating costs, energy management in microgrids is described as a data and monitoring network that allows the required functions. In this study, we discuss the difficulties associated with using RES and managing a microgrid. Voltage and frequency variations result from the dynamic nature of DG systems. Unpredictable dynamics result from the load's unknowability. As a result of this nonlinear dynamic, there are observable changes to the microgrid's operation. In this study, we test the efficiency of the microgrid in a variety of settings. We compare the PI controller's performance on the MATLAB/Simulink platform to that of a Fuzzy logic-based controller with various levels of complexity.

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Lakshmi, Dr G. V. Naga, and A. Srinika. "Grid Sychronization of Wind Based Microgrid." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (April 30, 2023): 4869–80. http://dx.doi.org/10.22214/ijraset.2023.51877.

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Abstract: This paper presents the methods for synchronization of a wind based micro grid with main grid. The wind power is generated using the permanent magnet brushless DC generator (PMBLDCG) and the MPPT (Maximum Power Point Tracking) is executed with P&O (Perturb & Observe) approach to extract the maximum power from the wind generation. This power is fed to the AC load using a voltage source inverter (VSI) through the battery bank (BSS) at DC link. The control algorithm operates in standalone mode and grid connected mode. It can switch between islanded and grid connected modes seamlessly according to the wind conditions. In standalone mode, this wind power is fed to the load through a VSI, during low wind conditions; the battery discharges itself to fulfill the load demand. After that, the grid is connected to give power to the load during low wind conditions, and for this, control algorithm operates in grid connected mode. Therefore, the control algorithm switches from voltage control to current control mode to provide smooth synchronization and vice versa at de-synchronization. A MATLAB Simulink model is developed to simulate the system performance during wind variations and load, and during synchronization and de-synchronization.

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Zhong, Xianjing, Xianbo Sun, and Yuhan Wu. "A Capacity Optimization Method for a Hybrid Energy Storage Microgrid System Based on an Augmented ε-Constraint Method." Energies 15, no. 20 (October 14, 2022): 7593. http://dx.doi.org/10.3390/en15207593.

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In general, microgrids have a high renewable energy abandonment rate and high grid construction and operation costs. To improve the microgrid renewable energy utilization rate, the economic advantages, and environmental safety of power grid operation, we propose a hybrid energy storage capacity optimization method for a wind–solar–diesel grid-connected microgrid system, based on an augmented ε- constraint method. First, the battery is coupled with a seasonal hydrogen energy storage system to establish a hybrid energy storage model that avoids the shortcomings of traditional microgrid systems, such as a single energy storage mode and a small capacity. Second, by considering the comprehensive cost and carbon emissions of the power grid within the planning period as the objective function, the abandonment rate of renewable energy as the evaluation index, and the electric energy storage and seasonal hydrogen energy storage system operating conditions as the main constraints, the capacity allocation model of the microgrid can be constructed. Finally, an augmented ε- constraint method is implemented to optimize the model above; the entropy–TOPSIS method is used to select the configuration scheme. By comparative analysis, the results show that the optimization method can effectively improve the local absorption rate of wind and solar radiation, and significantly reduce the carbon emissions of microgrids.

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Dissertations / Theses on the topic "Wind based microgrid"

1

Gyawali, Netra Prasad. "Development of Control and Operational Strategies for Wind Power Based Microgrid with Integrated Energy Storage." 京都大学 (Kyoto University), 2011. http://hdl.handle.net/2433/142224.

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LABELLA, ALESSANDRO GIUSEPPE. "Advanced Primary Controllers for Inverter Based Power Sources: Microgrids and Wind Power Plants." Doctoral thesis, Università degli studi di Genova, 2020. http://hdl.handle.net/11567/1009797.

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The aim of this doctoral thesis is to present the research activity fulfilled during the Ph.D. studies. The research project of the candidate was focused on two main cores. The first core is centred in the microgrid area; in particular in islanded microgrid modelling and control. Firstly, the model was compared with experimental results collected in some facilities available at University of Genoa. Then traditional controllers for islanded microgrid are analysed and explored, proposing a new stability estimation procedure for droop controlled microgrid. Finally, a new control strategy based on Model Predictive Control (MPC) is proposed in order to collect many functionalities in just one control layer. MPC is widely used in MG environment, but just for power and energy management at tertiary level; instead here it is here proposed with an inedited use. Some experimental validations about this new methodology are obtained during a research period in Serbia and Denmark. The second core is related with synthetic inertia for wind turbine connected to the main grid, i.e. frequency support during under-frequency transients. This aspect is very important today because it represents a way to increase grid stability in low inertia power systems. The importance of this feature is shared by all the most important Transmitter System Operators (TSO) all over the world.

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Pathak, Geeta. "Investigations on wind based microgrid with seamless transition between grid tied and islanding modes." Thesis, 2017. http://localhost:8080/xmlui/handle/12345678/7385.

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Fakhari, Moghadam Arani Mohammadreza. "Incorporating DFIG-Based Wind Power Generator in Microgird Frequency Stabilization." Thesis, 2011. http://hdl.handle.net/10012/6471.

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Although wind power as a renewable energy is assumed to be an all-round advantageous source of energy, its intermittent nature can cause difficulties, especially in the islanding mode of operation. Conventional synchronous generators can help to compensate for wind fluctuations, but the slow behavior of such systems may result in stability concerns. In this study, the virtual inertia method, which imitates the kinetic inertia of a synchronous generator, is used to improve the system’s dynamic behavior. Since the proposed method incorporates no long-term power regulation, it requires no mass storage device and is thus economical. To preclude additional costs, a rotating mass connected to the Doubly Fed Induction Generator (DFIG) shaft or a super-capacitor connected to the DC-link on a back-to-back converter of a wind power generator could be used. The concept and the proposed control methods are discussed in detail, and eigen-value analysis is used to study how the proposed method improves system stability. As well, the advantages and disadvantages of using DFIG rotating mass or a super-capacitor as the virtual inertia source are compared. The proposed approach also shows that while virtual inertia is not incorporated directly in long-term frequency and power regulation, it may indirectly enhance the system’s steady-state behavior. A time domain simulation is used to verify the results of the analytical studies.

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Chu, Zhengguo. "PSCAD/EMTDC-Based Modeling and Analysis of a Microgrid with Renewable Energy Sources." Thesis, 2010. http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7721.

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Microgrid is a relatively new concept which has gained significant attention recently due to the increasing penetration of distributed energy sources. It brings many benefits to the traditional distribution system. Couples of microgrid testbeds in the forms of either hardware facilities or software simulation systems have been developed to study microgrid issues in many institutes throughout the world. In the work presented in this thesis, a microgrid system model in PSCAD/EMTDC was developed. The proposed microgrid system includes fundamental power system component models, two renewable energy source models (wind and solar) and one energy storage source model. Different case studies were conducted. The results from the simulation case studies showed that the proposed microgrid system in PSCAD had satisfactory performance under different scenarios with renewable energy sources. The proposed microgrid system model can be used for further research on microgrid issues.

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Book chapters on the topic "Wind based microgrid"

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Pragaspathy, S., V. Karthikeyan, R. Kannan, N. S. D. Prakash Korlepara, and Bekkam Krishna. "Photovoltaic-Based Hybrid Integration of DC Microgrid into Public Ported Electric Vehicle." In Wind and Solar Energy Applications, 287–303. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003321897-22.

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Prabaakaran, K., R. Srividhya, R. Senthil Kumar, D. Hemanth Kumar, D. Mohan Raj, and A. Sham Prabu. "Energy Management System for Small-Scale Hybrid Wind Solar Battery-Based Microgrid." In International Conference on Computing, Communication, Electrical and Biomedical Systems, 493–501. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86165-0_42.

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Praiselin, W. J., and J. Belwin Edward. "Power Quality Improvement of Microgrid with Cascaded Controller-Based PMSG Used in Wind Turbines." In Lecture Notes in Electrical Engineering, 477–83. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4286-7_47.

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Mahakur, Arabinda, and Debidasi Mohanty. "Frequency Control of SPV/Wind/Biogas/Biodiesel-Based Microgrid Using Fuzzy-Aided PID Controllers." In Advances in Sustainability Science and Technology, 611–24. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9033-4_45.

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Akarne, Youssef, Ahmed Essadki, Tamou Nasser, and Hammadi Laghridat. "Modeling and Control of Wind Turbine System Based on PMSG in Grid-Connected AC Microgrid." In Lecture Notes in Mechanical Engineering, 595–604. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23615-0_60.

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Amir, Mohammad, and Sudhir Kumar Srivastava. "Analysis of Harmonic Distortion in PV–Wind-Battery Based Hybrid Renewable Energy System for Microgrid Development." In Lecture Notes in Electrical Engineering, 1223–31. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6772-4_107.

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Mandal, Rajasi, and Kalyan Chatterjee. "Virtual Inertia Emulation and Frequency Control of a Wind–Solar PV-Geothermal-Based Low-Inertia Microgrid." In Lecture Notes in Electrical Engineering, 295–305. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1978-6_26.

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Hari Priya, T., and Alivelu M. Parimi. "Energy Management System for PV—Wind and Battery-Fed DC Microgrid Using Fuzzy-Based Proportional Integral Controller." In Lecture Notes in Electrical Engineering, 1201–11. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6772-4_105.

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Rosales-Asensio, Enrique, Francisco José García-Moya, David Borge-Diez, and Antonio Colmenar-Santos. "Surrogate Optimization of Coupled Energy Sources in a Desalination Microgrid Based on Solar PV and Wind Energy." In Green Energy and Technology, 85–117. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96678-2_6.

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Srilakshmi, Koganti, Sravanthy Gaddameedhi, Uday Kumar Neerati, Surender Reddy Salkuti, Ponamanenni Anoop Rao, Thattiparthi Pavan Kumar, and Machidi Akshith. "Performance Analysis of Fuzzy-Based Controller for Wind and Battery Fed UPQC." In Power Quality in Microgrids: Issues, Challenges and Mitigation Techniques, 217–41. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2066-2_11.

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Conference papers on the topic "Wind based microgrid"

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Pathak, Geeta, Bhim Singh, and B. K. Panigrahi. "Grid synchronization of wind based microgrid." In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES). IEEE, 2016. http://dx.doi.org/10.1109/icpeices.2016.7853613.

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Ventrelli, Saverio. "Combining Renewable Microgrids and Energy Storage: Decarbonizing Offshore Assets by Means of Offshore Floating Solar and Wind." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/210821-ms.

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Abstract This paper presents a novel concept that enables offshore operators to power their facilities with renewable microgrids consisting of offshore wind units (floating or bottom fixed) or floating solar arrays or a combination of the two. The offshore wind turbine can have a generation capacity of either 11 or 14 megawatts (MW). The modular offshore floating solar farm concept is designed for high-wave, saltwater environments – with generating capacities ranging from 1 – 100 MW. A battery energy storage solution (BESS) is included as part of the microgrid, along with AC power distribution, transformers, switchboards, and a power management system (PMS). The renewables-based microgrid can be connected to any production (fixed or floating) or drilling installation via a subsea cable -- preferably up to 2 kilometers in length (or longer if required). The concept is highly scalable and can be deployed to match the load profile and power needs of the host facility. Stable power provided by the microgrid enables a reduction in localized electricity generation from existing onboard diesel or gas turbine generators. The improved energy mix with wind/solar and energy storage combined can reduce carbon emissions up to estimated 60-70% when compared to conventional generation with gas turbines.

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Yadav, Varsha, Arunima Verma, Bhim Singh, and Seema Seema. "Wind-BES Based Microgrid with Seamless Synchronization." In 2020 International Conference on Power, Instrumentation, Control and Computing (PICC). IEEE, 2020. http://dx.doi.org/10.1109/picc51425.2020.9362413.

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Rajasekaran, Vigneshwaran, Adel Merabet, Hussein Ibrahim, Rachid Beguenane, and Jogendra S. Thongam. "Control system for hybrid wind diesel based microgrid." In 2013 IEEE Electrical Power & Energy Conference (EPEC). IEEE, 2013. http://dx.doi.org/10.1109/epec.2013.6802934.

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Mariam, Lubna, Malabika Basu, and Michael F. Conlon. "Community Microgrid based on micro-wind generation system." In 2013 48th International Universities' Power Engineering Conference (UPEC). IEEE, 2013. http://dx.doi.org/10.1109/upec.2013.6715017.

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Pathak, Geeta, Bhim Singh, and B. K. Panigrahi. "Three-phase four-wire wind-diesel based microgrid." In 2016 IEEE 6th International Conference on Power Systems (ICPS). IEEE, 2016. http://dx.doi.org/10.1109/icpes.2016.7584037.

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Modi, Gaurav, and Bhim Singh. "Control of SPV-BES-SyRG Wind Based Microgrid." In 2021 IEEE 2nd International Conference on Smart Technologies for Power, Energy and Control (STPEC). IEEE, 2021. http://dx.doi.org/10.1109/stpec52385.2021.9718754.

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Lirong Zhang, Yi Wang, and Heming Li. "Coordinated control of MTDC-based microgrid with wind turbines." In 2012 7th International Power Electronics and Motion Control Conference (IPEMC 2012). IEEE, 2012. http://dx.doi.org/10.1109/ipemc.2012.6259163.

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Chatterjee, Satabdi, Swarnali Jhampati, Satarupa Saha, Shayan Guha, Priya Koley, and Rahul Hati. "Converter Based Wind Power Generation for DC Microgrid Application." In 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2018. http://dx.doi.org/10.1109/icoei.2018.8553883.

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Motwani, Jayesh Kumar, Sreedhar Madichetty, Bhanu Duggal, and Sukumar Mishra. "Intelligent control scheme for SPV-wind-BESS based microgrid." In 2018 IEEMA Engineer Infinite Conference (eTechNxT). IEEE, 2018. http://dx.doi.org/10.1109/etechnxt.2018.8385312.

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Reports on the topic "Wind based microgrid"

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Alarcón, Arturo, Juan Alberto, Cecilia Correa, Edwin Malagon, Emilio Sawada, Hector Baldivieso, and Gabriel Rocha. Analysis of the Policy and Market Framework for Hydro Pumped Storage in Latin America and the Caribbean. Inter-American Development Bank, October 2021. http://dx.doi.org/10.18235/0003721.

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In the next decades, the evolution of the power sector in the region will be based on a combination of large-scale and centralized power plants, distributed generation, and even isolated microgrids. Storage technologies will be crucial to enable the management of the intrinsic variability of some renewable generation (wind and solar), particularly in scenarios where there is a need to reduce fossil fuels used for base generation. Pumped Storage Hydropower (PSH) technologies are an attractive alternative, given the regions hydropower potential, existing installed capacity, and technical knowledge. This paper explores the policy and market framework in LAC for this technology.

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