The capacity optimization of the battery energy storage system in the combined cooling, heating and power microgrid
In the microgrid, the battery energy storage system (BESS) is used in combination with renewable energy to solve the problem of renewable energy accommodation. Meanwhile, power sources with the BESS can participate in valley filling and reduce electric generation costs. However, the BESS cannot cont...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-09-01
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| Series: | Energy Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S235248472300416X |
| _version_ | 1797692016453222400 |
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| author | Haixin Wang Siyu Mu Haoqian Cui Zihao Yang Shanshan Cheng Jiling Li Yanzhen Li Junyou Yang |
| author_facet | Haixin Wang Siyu Mu Haoqian Cui Zihao Yang Shanshan Cheng Jiling Li Yanzhen Li Junyou Yang |
| author_sort | Haixin Wang |
| collection | DOAJ |
| description | In the microgrid, the battery energy storage system (BESS) is used in combination with renewable energy to solve the problem of renewable energy accommodation. Meanwhile, power sources with the BESS can participate in valley filling and reduce electric generation costs. However, the BESS cannot contribute sufficient capability to the microgrid and reduce costs due to its limited capabilities. To tackle this challenge, the output power model of the combined cooling, heating and power microgrid (CCHPM) with the BESS is proposed in this paper. The model takes the micro-gas turbine, the photovoltaic unit, the wind turbine, the electric refrigerator and the BESS as a whole CCHPM. Meanwhile, a capacity optimization method of the BESS is developed to select the appropriate capacity and promote renewable energy accommodation. The minimum cost of the objective function is established. The electric power balance of the CCHPM, charge state constraints of the BESS, capacity constraints and ramp-up/down constraints of the units are derived to optimize the output power of units and the capacity of the BESS. The effectiveness of the proposed method is verified by the system simulation of YALMIP and GUROBI. Compared with the traditional method, the total cost of the microgrid is decreased by 1.4%, and the microgrid’s renewable energy accommodation is enhanced by 12.2%. This capacity optimization method can enhance the applicability of BESS in CCHPM. |
| first_indexed | 2024-03-12T02:22:29Z |
| format | Article |
| id | doaj.art-caabfb9b6d4a4a1da6077215c3112da5 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-12T02:22:29Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-caabfb9b6d4a4a1da6077215c3112da52023-09-06T04:51:34ZengElsevierEnergy Reports2352-48472023-09-019567574The capacity optimization of the battery energy storage system in the combined cooling, heating and power microgridHaixin Wang0Siyu Mu1Haoqian Cui2Zihao Yang3Shanshan Cheng4Jiling Li5Yanzhen Li6Junyou Yang7Shenyang University of Technology, Shenyang, 110870, ChinaShenyang University of Technology, Shenyang, 110870, China; Corresponding author.Fuxin Electric Power Supply Company, State Grid Liaoning Electric Power Co. Ltd., Fuxin, 123000, ChinaShenyang University of Technology, Shenyang, 110870, ChinaShenyang University of Technology, Shenyang, 110870, ChinaShenyang University of Technology, Shenyang, 110870, ChinaShenyang University of Technology, Shenyang, 110870, ChinaShenyang University of Technology, Shenyang, 110870, ChinaIn the microgrid, the battery energy storage system (BESS) is used in combination with renewable energy to solve the problem of renewable energy accommodation. Meanwhile, power sources with the BESS can participate in valley filling and reduce electric generation costs. However, the BESS cannot contribute sufficient capability to the microgrid and reduce costs due to its limited capabilities. To tackle this challenge, the output power model of the combined cooling, heating and power microgrid (CCHPM) with the BESS is proposed in this paper. The model takes the micro-gas turbine, the photovoltaic unit, the wind turbine, the electric refrigerator and the BESS as a whole CCHPM. Meanwhile, a capacity optimization method of the BESS is developed to select the appropriate capacity and promote renewable energy accommodation. The minimum cost of the objective function is established. The electric power balance of the CCHPM, charge state constraints of the BESS, capacity constraints and ramp-up/down constraints of the units are derived to optimize the output power of units and the capacity of the BESS. The effectiveness of the proposed method is verified by the system simulation of YALMIP and GUROBI. Compared with the traditional method, the total cost of the microgrid is decreased by 1.4%, and the microgrid’s renewable energy accommodation is enhanced by 12.2%. This capacity optimization method can enhance the applicability of BESS in CCHPM.http://www.sciencedirect.com/science/article/pii/S235248472300416XBattery energy storage systemRenewable energy accommodationCCHPMCapacity optimization |
| spellingShingle | Haixin Wang Siyu Mu Haoqian Cui Zihao Yang Shanshan Cheng Jiling Li Yanzhen Li Junyou Yang The capacity optimization of the battery energy storage system in the combined cooling, heating and power microgrid Energy Reports Battery energy storage system Renewable energy accommodation CCHPM Capacity optimization |
| title | The capacity optimization of the battery energy storage system in the combined cooling, heating and power microgrid |
| title_full | The capacity optimization of the battery energy storage system in the combined cooling, heating and power microgrid |
| title_fullStr | The capacity optimization of the battery energy storage system in the combined cooling, heating and power microgrid |
| title_full_unstemmed | The capacity optimization of the battery energy storage system in the combined cooling, heating and power microgrid |
| title_short | The capacity optimization of the battery energy storage system in the combined cooling, heating and power microgrid |
| title_sort | capacity optimization of the battery energy storage system in the combined cooling heating and power microgrid |
| topic | Battery energy storage system Renewable energy accommodation CCHPM Capacity optimization |
| url | http://www.sciencedirect.com/science/article/pii/S235248472300416X |
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