Optimal Planning and Operational Management of Open-Market Community Microgrids

被引:10
|
作者
Meena, Nand K. [1 ]
Yang, Jin [1 ]
Zacharis, Evan [2 ]
机构
[1] Aston Univ, Sch Engn & Appl Sci, Birmingham B4 7ET, W Midlands, England
[2] Hypertech SA, 32 Perikleous St, Halandri, Attica, Greece
基金
英国工程与自然科学研究理事会;
关键词
Artificial intelligence; battery energy storage system; genetic algorithm; microgrids; renewables; ENERGY; SYSTEM; POWER;
D O I
10.1016/j.egypro.2018.12.002
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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. (C) 2019 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:533 / 538
页数:6
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