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2021
DOI: 10.3390/en14217442
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Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components

Abstract: 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 oth… Show more

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Cited by 11 publications
(9 citation statements)
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“…In order to fulfil the strategic objectives of "carbon peaking" and "carbon neutralisation," the new energy, represented by wind and solar power, has been steadily replacing the traditional power production unit and has started to access a substantial number of microgrids [1][2][3]. Multiple power sources and loads may operate effectively and dependably inside a network thanks to microgrids.…”
Section: Introductionmentioning
confidence: 99%
“…In order to fulfil the strategic objectives of "carbon peaking" and "carbon neutralisation," the new energy, represented by wind and solar power, has been steadily replacing the traditional power production unit and has started to access a substantial number of microgrids [1][2][3]. Multiple power sources and loads may operate effectively and dependably inside a network thanks to microgrids.…”
Section: Introductionmentioning
confidence: 99%
“…[25], two meta-heuristic algorithms, namely genetic algorithms (GA) and particle swarm optimization (PSO), are used for optimally siting and sizing of BESS in distribution networks in order to mitigate the effects of RES fluctuations on energy supply reliability and quality. Meta-heuristics are explored as well in [26], where the BESS sizing problem is solved based on a bi-level hybrid PSO-quadratic programming algorithm, which considers the cooperative operations of controllable components in a microgrid. In terms of resilience-related goals, authors of [27] investigate design aspects in low-voltage grids focusing on various BESS capacities and voltage level control with active power regulation in energy communities, while [13] proposes a centralized shared energy storage capacity optimization model that aims to minimize the operational costs in resilience microgrids using a two-layered approach.…”
Section: Introductionmentioning
confidence: 99%
“…According to ref. [17], BESSs have issues with investment costs and operating lifetimes; therefore, adequate BESS sizing is crucial for microgrid design and administration. This article proposed a problem structure and solution approach for calculating the optimal size of BESSs in a microgrid using the binary particle swarm optimization (BPSO) combined with a quadratic programming algorithm for two objectives-investment cost and operating cost.…”
Section: Introductionmentioning
confidence: 99%