Title: Scheduling of multi-fuel energy resources in microgrid using grey wolf optimisation

Authors: Salil Madhav Dubey; Hari Mohan Dubey; Manjaree Pandit

Addresses: Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India ' Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India ' Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India

Abstract: Implementation of a microgrid (MG) to establish an independent, efficient, and cost-effective power supply system is the need of the hour. The generation in MG can be conventional or non-conventional. Still, due to increasing power demand, high fuel prices, scarcity of fossil fuels, and degrading the environment, there is a growing demand for renewable energy sources (RS) for power generation. Multi-fuel power sources like solar, wind, fuel cells, etc., improve the adequacy, and increase supply reliability, provide a dynamic response. This paper discusses the dynamic scheduling of MGs in two different systems with distinguishing distributed generation (DG) units. Grey wolf optimisation (GWO), a meta-heuristic technique inspired by the hierarchical hunting mechanism of grey wolves, is used in this paper to solve a multi-objective problem in a dynamic environment. The performance and effectiveness of GWO are compared and validated with methods like CSA, ABC, DE, and PSO.

Keywords: microgrid; renewable energy integration; grey wolf optimisation; GWO; dynamic scheduling; fuel cells; wind power units; distribution generation; solar plants; multi-objective scheduling.

DOI: 10.1504/IJSGGC.2022.128043

International Journal of Smart Grid and Green Communications, 2022 Vol.2 No.2, pp.87 - 102

Accepted: 24 Jun 2022
Published online: 04 Jan 2023 *

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