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Optimistic use of battery energy storage system to mitigate grid disturbances in the hybrid power system

Department of Electrical Engineering, Rajasthan Technical University, Kota, India

Special Issues: Intelligent Battery Power System Design and Simulation

Renewable energy (RE) is being continuously penetrated in to the utility grid and RE penetration level has become comparable to the conventional energy. For balancing of energy generation, solar and wind generators are being integrated to the utility grid at same location to form the hybrid power system. This has been achieved by the use of power electronic converters which are non-linear in nature. Further, variability of solar and wind energy generation also deteriorates quality of power in the hybrid grid. Any disturbance developed in the hybrid grid affects system parameters and power flow due to non-linearity of system and variability of RE generation. This has motivated the academicians and researchers to investigate efficient devices to minimize effects of disturbances on the performance of hybrid grid parameters in the presence of RE. A design of hybrid power system incorporating the wind energy, solar energy, loads, battery energy storage system (BESS) and conventional generator is proposed. This will help to minimize effects of grid disturbances on hybrid power system and improve the performance of utility grid with high RE penetration. Minimization of variability in power generation due to variations of wind speed and solar insolation will be achieved. This is achieved by application of battery energy storage system supported by distribution static compensator (DSTATCOM) controlled by the use of synchronous reference frame theory (SRFT). Test network consisting of five buses, conventional generator, loads, wind generator and solar photovoltaic (PV) generator is realized in MATLAB to establish effectiveness of proposed scheme.
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© 2019 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

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