Microgrid energy management strategy considering source-load forecast error
Hybrid energy storage system (HESS) can stabilize renewable energy power generation, but unreasonable energy storage power distribution and photovoltaic-load forecast errors will affect the economic benefits of the whole system. Aiming at the microgrid (MG) composed of photovoltaic (PV) and HESS, an...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | International Journal of Electrical Power & Energy Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061524005957 |
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| author | Kaikai Zhang Guibin Zou Jinliang Zhang Houlei Li Yazhong Sun Guoliang Li |
| author_facet | Kaikai Zhang Guibin Zou Jinliang Zhang Houlei Li Yazhong Sun Guoliang Li |
| author_sort | Kaikai Zhang |
| collection | DOAJ |
| description | Hybrid energy storage system (HESS) can stabilize renewable energy power generation, but unreasonable energy storage power distribution and photovoltaic-load forecast errors will affect the economic benefits of the whole system. Aiming at the microgrid (MG) composed of photovoltaic (PV) and HESS, an energy management strategy (EMS) of MG considering forecast errors is proposed. Firstly, an optimization model considering the depreciation cost of battery is established. Secondly, day-ahead EMS is implemented under multiple operating modes considering minimum fluctuation and optimal economy. Then, according to the real-time forecast results and the feedback of system operation status, the intraday rolling energy management strategy (REMS) is developed to alleviate the impact of forecast errors. Finally, the real-time state of charge (SOC) of the supercapacitor (SC) is introduced to adjust the filter coefficient, which avoids the SC working in the charge/discharge restricted area for a long time and improves the adjustment effect. The results of the case analysis show that the proposed intraday REMS can effectively reduce the influence of forecast errors on energy management. |
| format | Article |
| id | doaj-art-589bf074f2aa4b9ea3b02465c9d02c00 |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-589bf074f2aa4b9ea3b02465c9d02c002025-01-19T06:23:51ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-03-01164110372Microgrid energy management strategy considering source-load forecast errorKaikai Zhang0Guibin Zou1Jinliang Zhang2Houlei Li3Yazhong Sun4Guoliang Li5Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University), Ji’nan, Shandong Province, ChinaKey Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University), Ji’nan, Shandong Province, China; Corresponding author.State Grid Jinan Electric Power Company, Jinan, Shandong Province, ChinaKey Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University), Ji’nan, Shandong Province, ChinaState Grid Zaozhuang Electric Power Company, Zaozhuang, Shandong Province, ChinaState Grid Zaozhuang Electric Power Company, Zaozhuang, Shandong Province, ChinaHybrid energy storage system (HESS) can stabilize renewable energy power generation, but unreasonable energy storage power distribution and photovoltaic-load forecast errors will affect the economic benefits of the whole system. Aiming at the microgrid (MG) composed of photovoltaic (PV) and HESS, an energy management strategy (EMS) of MG considering forecast errors is proposed. Firstly, an optimization model considering the depreciation cost of battery is established. Secondly, day-ahead EMS is implemented under multiple operating modes considering minimum fluctuation and optimal economy. Then, according to the real-time forecast results and the feedback of system operation status, the intraday rolling energy management strategy (REMS) is developed to alleviate the impact of forecast errors. Finally, the real-time state of charge (SOC) of the supercapacitor (SC) is introduced to adjust the filter coefficient, which avoids the SC working in the charge/discharge restricted area for a long time and improves the adjustment effect. The results of the case analysis show that the proposed intraday REMS can effectively reduce the influence of forecast errors on energy management.http://www.sciencedirect.com/science/article/pii/S0142061524005957Energy management strategyForecast errorPhotovoltaic-microgridHybrid energy storage systemPower distribution |
| spellingShingle | Kaikai Zhang Guibin Zou Jinliang Zhang Houlei Li Yazhong Sun Guoliang Li Microgrid energy management strategy considering source-load forecast error International Journal of Electrical Power & Energy Systems Energy management strategy Forecast error Photovoltaic-microgrid Hybrid energy storage system Power distribution |
| title | Microgrid energy management strategy considering source-load forecast error |
| title_full | Microgrid energy management strategy considering source-load forecast error |
| title_fullStr | Microgrid energy management strategy considering source-load forecast error |
| title_full_unstemmed | Microgrid energy management strategy considering source-load forecast error |
| title_short | Microgrid energy management strategy considering source-load forecast error |
| title_sort | microgrid energy management strategy considering source load forecast error |
| topic | Energy management strategy Forecast error Photovoltaic-microgrid Hybrid energy storage system Power distribution |
| url | http://www.sciencedirect.com/science/article/pii/S0142061524005957 |
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