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.
Coronavirus herd immunity optimizer; Distributed generation; Distribution system; Optimization; Power loss; Voltage profile; Distributed power generation; Fossil fuels; Contaminated environment; Coronaviruses; Distribution systems; Energy; Herd immunities; Optimisations; Optimizers; Powerloss; Coronavirus
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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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