Scheduling of multi-fuel energy resources in microgrid using grey wolf optimisation. (7th December 2022)

• Record Type: Journal Article
• Authors: Dubey, Salil Madhav; Dubey, Hari Mohan; Pandit, Manjaree
• Is Part Of: International journal of smart grid and green communications. Volume 2:Number 2(2022)
• Page Start: 87
• Page End: 102
• Publication Date: 2022-12-07
• Subjects: microgrid -- renewable energy integration -- grey wolf optimisation -- GWO -- dynamic scheduling -- fuel cells -- wind power units -- distribution generation -- solar plants -- multi-objective scheduling; Smart power grids -- Computer networks -- Periodicals; Smart power grids -- Periodicals; Wireless communication systems -- Security measures -- Periodicals; Wireless communication systems -- Energy consumption -- Periodicals; 333.7911028546
• Languages: English
• ISSNs: 2052-2002

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.