A Study of EHO-FF Algorithms for Optimal Distribution Energy Resources Sizing.

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Published: Apr 1, 2022
DOI: https://doi.org/10.29070/py82q112
Keywords:
Smart Grid, Demand Side Management, Distributed Energy Resources, Reactive Power Optimisation, hybrid evolutionary algorithm, PSO

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Authors

Sachin Suke

Research Scholar, Shridhar University, Pillani, Rajasthan

Dr. Mrs. A. A. Miraje

Professor, Shridhar University,Pillani, Rajasthan

Abstract

The advent of the Smart Grid idea has presented a significant obstacle in the power industry. The smart grid now mostly consists of distributed power that integrates renewable energy resources. Demand Side Management (DSM) adapts to fluctuating demand by letting customers choose their own power generation options. By limiting demand & maximising resource allocation for power generation, DSM enables customers to access power at a reduced cost. Developing a hybrid evolutionary algorithm for DSM that accurately monitors smart grid real power loss is the main goal of this study. This method will be useful for reactive power optimisation, or RPO. Improving the power grid network's energy efficiency and voltage profile under various load situations is the goal of the proposed effort.

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Issue

Vol. 19 No. 2 (2022): Journal of Advances in Science and Technology (JAST)

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