Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components

Battery energy storage systems (BESSs) are key components in efficiently managing the electric power supply and demand in microgrids. However, the BESSs have issues in their investment costs and operating lifetime, and thus, the optimal sizing of the BESSs is one of the crucial requirements in desig...

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Autores principales:	Hirotaka Takano, Ryosuke Hayashi, Hiroshi Asano, Tadahiro Goda
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	microgrids battery energy storage systems (BESSs) bi-level optimization optimal sizing optimal operation scheduling particle swarm optimization (PSO) Technology T
Acceso en línea:	https://doaj.org/article/f6794b88e9cb40518fbe38b79f48d24c
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spelling	oai:doaj.org-article:f6794b88e9cb40518fbe38b79f48d24c2021-11-11T16:09:11ZOptimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components10.3390/en142174421996-1073https://doaj.org/article/f6794b88e9cb40518fbe38b79f48d24c2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7442https://doaj.org/toc/1996-1073Battery energy storage systems (BESSs) are key components in efficiently managing the electric power supply and demand in microgrids. However, the BESSs have issues in their investment costs and operating lifetime, and thus, the optimal sizing of the BESSs is one of the crucial requirements in design and management of the microgrids. This paper presents a problem framework and its solution method that calculates the optimal size of the BESSs in a microgrid, considering their cooperative operations with the other components. The proposed framework is formulated as a bi-level optimization problem; however, based on the Karush–Kuhn–Tucker approach, it is regarded as a type of operation scheduling problem. As a result, the techniques developed for determining the operation schedule become applicable. In this paper, a combined algorithm of binary particle swarm optimization and quadratic programming is selected as the basis of the solution method. The validity of the authors’ proposal is verified through numerical simulations and discussion of their results.Hirotaka TakanoRyosuke HayashiHiroshi AsanoTadahiro GodaMDPI AGarticlemicrogridsbattery energy storage systems (BESSs)bi-level optimizationoptimal sizingoptimal operation schedulingparticle swarm optimization (PSO)TechnologyTENEnergies, Vol 14, Iss 7442, p 7442 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	microgrids battery energy storage systems (BESSs) bi-level optimization optimal sizing optimal operation scheduling particle swarm optimization (PSO) Technology T
spellingShingle	microgrids battery energy storage systems (BESSs) bi-level optimization optimal sizing optimal operation scheduling particle swarm optimization (PSO) Technology T Hirotaka Takano Ryosuke Hayashi Hiroshi Asano Tadahiro Goda Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components
description	Battery energy storage systems (BESSs) are key components in efficiently managing the electric power supply and demand in microgrids. However, the BESSs have issues in their investment costs and operating lifetime, and thus, the optimal sizing of the BESSs is one of the crucial requirements in design and management of the microgrids. This paper presents a problem framework and its solution method that calculates the optimal size of the BESSs in a microgrid, considering their cooperative operations with the other components. The proposed framework is formulated as a bi-level optimization problem; however, based on the Karush–Kuhn–Tucker approach, it is regarded as a type of operation scheduling problem. As a result, the techniques developed for determining the operation schedule become applicable. In this paper, a combined algorithm of binary particle swarm optimization and quadratic programming is selected as the basis of the solution method. The validity of the authors’ proposal is verified through numerical simulations and discussion of their results.
format	article
author	Hirotaka Takano Ryosuke Hayashi Hiroshi Asano Tadahiro Goda
author_facet	Hirotaka Takano Ryosuke Hayashi Hiroshi Asano Tadahiro Goda
author_sort	Hirotaka Takano
title	Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components
title_short	Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components
title_full	Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components
title_fullStr	Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components
title_full_unstemmed	Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components
title_sort	optimal sizing of battery energy storage systems considering cooperative operation with microgrid components
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f6794b88e9cb40518fbe38b79f48d24c
work_keys_str_mv	AT hirotakatakano optimalsizingofbatteryenergystoragesystemsconsideringcooperativeoperationwithmicrogridcomponents AT ryosukehayashi optimalsizingofbatteryenergystoragesystemsconsideringcooperativeoperationwithmicrogridcomponents AT hiroshiasano optimalsizingofbatteryenergystoragesystemsconsideringcooperativeoperationwithmicrogridcomponents AT tadahirogoda optimalsizingofbatteryenergystoragesystemsconsideringcooperativeoperationwithmicrogridcomponents
_version_	1718432451269754880

Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components

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