Optimal Planning and Operational Management of Open-Market Community Microgrids

Nand K. Meena, Jin Yang*, Evan Zacharis

*Corresponding author for this work

Research output: Contribution to journalConference article

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.

Original languageEnglish
Pages (from-to)533-538
Number of pages6
JournalEnergy Procedia
Volume159
DOIs
Publication statusPublished - 1 Feb 2019
Event2018 Renewable Energy Integration with Mini/Microgrid, REM 2018 - Rhodes, Greece
Duration: 28 Sep 201830 Sep 2018

Fingerprint

Planning
Energy resources
Operating costs
Energy storage
Diesel engines
Genetic algorithms
Costs
Industry

Bibliographical note

© 2019 The Authors. Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

Keywords

  • Artificial intelligence
  • battery energy storage system
  • genetic algorithm
  • microgrids
  • renewables

Cite this

Meena, Nand K. ; Yang, Jin ; Zacharis, Evan. / Optimal Planning and Operational Management of Open-Market Community Microgrids. In: Energy Procedia. 2019 ; Vol. 159. pp. 533-538.
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Optimal Planning and Operational Management of Open-Market Community Microgrids. / Meena, Nand K.; Yang, Jin; Zacharis, Evan.

In: Energy Procedia, Vol. 159, 01.02.2019, p. 533-538.

Research output: Contribution to journalConference article

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