Optimal Operational Management of Open-Market Community Microgrids

EasyChair Preprint 1575

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 dierent 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 eectively.

Keyphrases: Artificial Intelligence, Battery Energy Storage System, Community microgrid, Genetic Algorithm, Microgrids, Rated Capacity, Renewables, applied energy, battery energy storage, business model, daily operating cost, distribution system, energy price, energy storage system, energy trading, fuel curve, multiple stakeholder, operational management, optimization framework, peer energy, power purchase, residential community, retail electricity market, retail energy market, third party

@booklet{EasyChair:1575,
  author    = {Nand Kishor Meena and Jin Yang and Evan Zacharis},
  title     = {Optimal Operational Management of Open-Market Community Microgrids},
  howpublished = {EasyChair Preprint 1575},
  year      = {EasyChair, 2019}}