Microgrid Energy Management Considering Energy Storage Degradation Cost
There are many challenges in incorporating the attenuation cost of energy storage into the optimization of microgrid operations due to the randomness of renewable energy supply, the high cost of controlled power generation, and the complexity associated with calculating the cost of battery attenuati...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Batteries |
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| Online Access: | https://www.mdpi.com/2313-0105/11/5/169 |
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| author | Yiming Zhao Hongrui Li Changsheng Wan Dong Du Bo Chen |
| author_facet | Yiming Zhao Hongrui Li Changsheng Wan Dong Du Bo Chen |
| author_sort | Yiming Zhao |
| collection | DOAJ |
| description | There are many challenges in incorporating the attenuation cost of energy storage into the optimization of microgrid operations due to the randomness of renewable energy supply, the high cost of controlled power generation, and the complexity associated with calculating the cost of battery attenuation. Therefore, this paper proposes a microgrid energy management scheme considering the attenuation cost of energy storage. This scheme analyzes the power generation mode and uncertainty factors of distributed generators in detail. The influence of charge and discharge depth on the cycle life and residual value of the energy storage system was analyzed, and the energy storage attenuation cost model was established. Finally, considering the cost of power generation, environmental treatment, and the deterioration cost of energy storage systems, the objective function of the comprehensive operation cost of microgrids is formulated. The improved sine cosine algorithm (SCA) is used to simulate the energy output optimization of various distributed generators in the microgrid. The results show that the algorithm can effectively reduce the comprehensive operation cost of microgrids and improve their energy utilization efficiency, which proves the practical significance and reference value of the method for microgrid energy management. |
| format | Article |
| id | doaj-art-46a09caaf3da4f7ba205946c8d4db86c |
| institution | Kabale University |
| issn | 2313-0105 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Batteries |
| spelling | doaj-art-46a09caaf3da4f7ba205946c8d4db86c2025-08-20T03:47:48ZengMDPI AGBatteries2313-01052025-04-0111516910.3390/batteries11050169Microgrid Energy Management Considering Energy Storage Degradation CostYiming Zhao0Hongrui Li1Changsheng Wan2Dong Du3Bo Chen4School of Cyber Science and Engineering, Southeast University, Nanjing 210096, ChinaSchool of Cyber Science and Engineering, Southeast University, Nanjing 210096, ChinaSchool of Cyber Science and Engineering, Southeast University, Nanjing 210096, ChinaSchool of Cyber Science and Engineering, Southeast University, Nanjing 210096, ChinaDepartment of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, CanadaThere are many challenges in incorporating the attenuation cost of energy storage into the optimization of microgrid operations due to the randomness of renewable energy supply, the high cost of controlled power generation, and the complexity associated with calculating the cost of battery attenuation. Therefore, this paper proposes a microgrid energy management scheme considering the attenuation cost of energy storage. This scheme analyzes the power generation mode and uncertainty factors of distributed generators in detail. The influence of charge and discharge depth on the cycle life and residual value of the energy storage system was analyzed, and the energy storage attenuation cost model was established. Finally, considering the cost of power generation, environmental treatment, and the deterioration cost of energy storage systems, the objective function of the comprehensive operation cost of microgrids is formulated. The improved sine cosine algorithm (SCA) is used to simulate the energy output optimization of various distributed generators in the microgrid. The results show that the algorithm can effectively reduce the comprehensive operation cost of microgrids and improve their energy utilization efficiency, which proves the practical significance and reference value of the method for microgrid energy management.https://www.mdpi.com/2313-0105/11/5/169microgridoptimal schedulingrenewable energy sourcesdegradation costs |
| spellingShingle | Yiming Zhao Hongrui Li Changsheng Wan Dong Du Bo Chen Microgrid Energy Management Considering Energy Storage Degradation Cost Batteries microgrid optimal scheduling renewable energy sources degradation costs |
| title | Microgrid Energy Management Considering Energy Storage Degradation Cost |
| title_full | Microgrid Energy Management Considering Energy Storage Degradation Cost |
| title_fullStr | Microgrid Energy Management Considering Energy Storage Degradation Cost |
| title_full_unstemmed | Microgrid Energy Management Considering Energy Storage Degradation Cost |
| title_short | Microgrid Energy Management Considering Energy Storage Degradation Cost |
| title_sort | microgrid energy management considering energy storage degradation cost |
| topic | microgrid optimal scheduling renewable energy sources degradation costs |
| url | https://www.mdpi.com/2313-0105/11/5/169 |
| work_keys_str_mv | AT yimingzhao microgridenergymanagementconsideringenergystoragedegradationcost AT hongruili microgridenergymanagementconsideringenergystoragedegradationcost AT changshengwan microgridenergymanagementconsideringenergystoragedegradationcost AT dongdu microgridenergymanagementconsideringenergystoragedegradationcost AT bochen microgridenergymanagementconsideringenergystoragedegradationcost |