Scheduling of multi-fuel energy resources in microgrid using grey wolf optimisation Online publication date: Wed, 04-Jan-2023
by Salil Madhav Dubey; Hari Mohan Dubey; Manjaree Pandit
International Journal of Smart Grid and Green Communications (IJSGGC), Vol. 2, No. 2, 2022
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Smart Grid and Green Communications (IJSGGC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook