Optimal Planning and Operational Management of Open-Market Community Microgrids

Abstract

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 > Power Electronics, Machines and Power System (PEMPS)
Funding Information: The work is supported by the research project “Electricity Satnav – Electricity Smart Availability Topology of Network for Abundant electric Vehicles” which is funded by the Engineering and Physical Sciences Research Council (EPSRC Reference: EP/R001456/1
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,General Energy
Publication ISSN: 1876-6102
Last Modified: 17 Dec 2024 08:33
Date Deposited: 29 Apr 2019 09:03
Full Text Link:
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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