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Coronavirus Herd Immunity Optimization Based Optimum Accommodation of Renewable DG
1st International Conference on Intelligent Controller and Computing for Smart Power, ICICCSP 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2051998
ABSTRACT
In an era of depleting fossil fuels and a contaminated environment, legislators, governments, industries, academics, and other energy organizations have focused their attention on renewable energy distributed generation (REDG). REDGs' appropriate size and location should be determined optimally. Since, the operating characteristics of the distribution system (DS) such as losses, voltage profile depends upon placement and sizing of DG in DS. Optimal accommodation includes placement and sizing of PV-DG is implemented using a novel Coronavirus herd immunity optimizer in the present work. This model is aiming to minimize total power loss and improve the voltage profile of the whole DS. Further, the constraints used for this study are voltage limits and current limits. Also, the seasonal load and PV generation variation for a typical year is included during the optimization. The results and performance of the proposed technique have been compared with well-known methods in the literature. The results obtained show the efficacy of the suggested method. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 1st International Conference on Intelligent Controller and Computing for Smart Power, ICICCSP 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 1st International Conference on Intelligent Controller and Computing for Smart Power, ICICCSP 2022 Year: 2022 Document Type: Article