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• W4308585144 abstract "AbstractDistributed energy resources (DERs) have become more appealing to feed local loads under the abstraction of microgrids (MG). The concept of microgrid (MG) is presented for better renewable energy penetration into the utility grid. Renewable sources being highly intermittent in nature, feeder power flow at substation bus bar is required to be controlled and coordinated. One of the foremost elements to amalgamate distributed generation (DG) unit in a MG is battery energy storage system (BESS). A MG embodying single-phase photovoltaic (PV) arrays and wind turbines (WT) that functions as a foremost distributed generation elements and the “battery energy storage system” to augment the spasmodic photovoltaic as well as wind power generation and the demand variation in the microgrid is presented in this work. Although there are many heuristic algorithms for solving this problem, however, we have considered a swarm-based heuristic algorithm elephant herding optimization (EHO). This algorithm has been utilized to eradicate the error in power flow for keeping up the balance of demand and generation by adjusting the attained values of all the PI controllers optimally. Simulink and MATLAB environment has been used to study the achievement of this propound system.KeywordsDistributed energy resourcesMicrogridPhotovoltaic and wind turbinesElephant herd optimization" @default.
• W4308585144 created "2022-11-12" @default.
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• W4308585144 date "2022-11-09" @default.
• W4308585144 modified "2023-09-25" @default.
• W4308585144 title "Performance Analysis of a Microgrid System Connected to a Grid Using EHO Technique" @default.
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• W4308585144 doi "https://doi.org/10.1007/978-981-19-4971-5_2" @default.
• W4308585144 hasPublicationYear "2022" @default.
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