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A Novel Hybrid Algorithm for Power Flow Control of Grid-Connected Hybrid Renewable Energy System [articol]

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dc.contributor.author Mahendran, K.
dc.contributor.author Prabha, S.U.
dc.date.accessioned 2025-02-17T11:49:04Z
dc.date.available 2025-02-17T11:49:04Z
dc.date.issued 2018
dc.identifier.citation Mahendran,K.; Prabha,S.U.: A Novel Hybrid Algorithm for Power Flow Control of Grid-Connected Hybrid Renewable Energy System. Timişoara: Editura Politehnica, 2018. en_US
dc.identifier.issn 1582-4594
dc.identifier.uri https://dspace.upt.ro/xmlui/handle/123456789/7182
dc.description.abstract This paper depicts a stout voltage control of grid connected of Renewable Energy System (RES) consists of Solar Energy, Wind Energy and Fuel Cell Technology. A smart controller is suggested to alleviate the power fluctuations. Here, the suggested controller achieves the mixture of Bat Search algorithm and artificial neural network (BSNN). In order to correct the constancy of HRES, error gathering of the system is to be reduced. Here, the bat search algorithm is recycled in the optimization reason to diminution the system error and accomplish the optimal power flow by legitimate tuning of PI parameters. Within the corresponding input time intervals of a day dataset, the ANN is trained using the target capacity. The performance of proposed technique is invoked in MATLAB/Simulink platform. en_US
dc.language.iso en en_US
dc.publisher Timișoara : Editura Politehnica en_US
dc.relation.ispartofseries Journal of Electrical Engineering;Vol 18 No 4
dc.subject Hybrid Renewable energy Systems (HRES) en_US
dc.subject Bat search neural network (BSNN) en_US
dc.subject PV Array en_US
dc.subject Wind energy en_US
dc.subject Fuel cell en_US
dc.title A Novel Hybrid Algorithm for Power Flow Control of Grid-Connected Hybrid Renewable Energy System [articol] en_US
dc.type Article en_US


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