Optimal Planning and Operational Management of Open-Market Community Microgrids


In this article, a new business model comprising multiple stakeholders is proposed to develop a frame for future flexible retail energy market in community microgrids. The microgrid comprises multiple and different distributed energy resources (DERs) such as renewable generation units, battery energy storage systems (BESSs), and micro diesel engines (MDE), to minimize daily operational costs of the system. To solve the defined complex optimization model, some operational strategies are proposed and then genetic algorithm is adopted to determine the hourly optimal power dispatch. The case study shows that the proposed model minimizes the daily operating cost of the community system effectively.

Publication DOI: https://doi.org/10.1016/j.egypro.2018.12.002
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Electrical and Electronic Engineering
College of Engineering & Physical Sciences > Power Electronics, Machines and Power System (PEMPS)
Additional Information: © 2019 The Authors. Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Uncontrolled Keywords: Artificial intelligence,battery energy storage system,genetic algorithm,microgrids,renewables,Energy(all)
Publication ISSN: 1876-6102
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference article
Published Date: 2019-02-01
Accepted Date: 2019-01-01
Authors: Meena, Nand K.
Yang, Jin (ORCID Profile 0000-0002-1026-8495)
Zacharis, Evan

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