Optimal Planning and Operational Management of Open-Market Community Microgrids

Nand K. Meena; Jin Yang; Evan Zacharis

doi:10.1016/j.egypro.2018.12.002

Optimal Planning and Operational Management of Open-Market Community Microgrids

Nand K. Meena, Jin Yang^*, Evan Zacharis

^*Corresponding author for this work

Power Electronics, Machines and Power System (PEMPS) Group

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	533-538
Number of pages	6
Journal	Energy Procedia
Volume	159
DOIs	https://doi.org/10.1016/j.egypro.2018.12.002
Publication status	Published - 1 Feb 2019
Event	2018 Renewable Energy Integration with Mini/Microgrid, REM 2018 - Rhodes, Greece Duration: 28 Sept 2018 → 30 Sept 2018

Bibliographical note

Keywords

Artificial intelligence
battery energy storage system
genetic algorithm
microgrids
renewables

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10.1016/j.egypro.2018.12.002Licence: CC BY-NC-ND 3.0

Optimal Planning and Operational Management of Open-Market Community Microgrids
© 2019 The Authors. Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Final published version, 1.16 MBLicence: CC BY-NC-ND 3.0

Cite this

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title = "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.",

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T1 - Optimal Planning and Operational Management of Open-Market Community Microgrids

AU - Meena, Nand K.

AU - Yang, Jin

AU - Zacharis, Evan

PY - 2019/2/1

Y1 - 2019/2/1

N2 - 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.

AB - 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.

KW - Artificial intelligence

KW - battery energy storage system

KW - genetic algorithm

KW - microgrids

KW - renewables

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U2 - 10.1016/j.egypro.2018.12.002

DO - 10.1016/j.egypro.2018.12.002

M3 - Conference article

AN - SCOPUS:85063784388

SN - 1876-6102

VL - 159

SP - 533

EP - 538

JO - Energy Procedia

JF - Energy Procedia

T2 - 2018 Renewable Energy Integration with Mini/Microgrid, REM 2018

Y2 - 28 September 2018 through 30 September 2018

ER -

Optimal Planning and Operational Management of Open-Market Community Microgrids

Abstract

Bibliographical note

Keywords

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