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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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/21/7442 |
| _version_ | 1797512536560500736 |
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| author | Hirotaka Takano Ryosuke Hayashi Hiroshi Asano Tadahiro Goda |
| author_facet | Hirotaka Takano Ryosuke Hayashi Hiroshi Asano Tadahiro Goda |
| author_sort | Hirotaka Takano |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T06:03:12Z |
| format | Article |
| id | doaj.art-f6794b88e9cb40518fbe38b79f48d24c |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T06:03:12Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-f6794b88e9cb40518fbe38b79f48d24c2023-11-22T20:47:54ZengMDPI AGEnergies1996-10732021-11-011421744210.3390/en14217442Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid ComponentsHirotaka Takano0Ryosuke Hayashi1Hiroshi Asano2Tadahiro Goda3Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, JapanDepartment of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, JapanDepartment of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, JapanAichi Institute of Technology, Toyota 470-0392, JapanBattery 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.https://www.mdpi.com/1996-1073/14/21/7442microgridsbattery energy storage systems (BESSs)bi-level optimizationoptimal sizingoptimal operation schedulingparticle swarm optimization (PSO) |
| spellingShingle | Hirotaka Takano Ryosuke Hayashi Hiroshi Asano Tadahiro Goda Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components Energies microgrids battery energy storage systems (BESSs) bi-level optimization optimal sizing optimal operation scheduling particle swarm optimization (PSO) |
| title | 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_short | 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 |
| topic | microgrids battery energy storage systems (BESSs) bi-level optimization optimal sizing optimal operation scheduling particle swarm optimization (PSO) |
| url | https://www.mdpi.com/1996-1073/14/21/7442 |
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