A Multi-objective Robust Planning Method for Thermal-Electrical Coupling Micro-energy System Considering the Uncertainty of Renewable Energy
Due to the high randomness and intermittency of renewable energy, the large-scale connection of renewable energy to the power grid will seriously affect the security and stability of the power system. This problem can be solved by developing thermo-electrical coupling micro-energy systems. A multi-o...
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| Format: | Article |
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State Grid Energy Research Institute
2021-04-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202010037 |
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| author | Min ZHANG Jinhao WANG Xiao CHANG Chaoying YANG Ran LI Changwen SUN Rui FAN |
| author_facet | Min ZHANG Jinhao WANG Xiao CHANG Chaoying YANG Ran LI Changwen SUN Rui FAN |
| author_sort | Min ZHANG |
| collection | DOAJ |
| description | Due to the high randomness and intermittency of renewable energy, the large-scale connection of renewable energy to the power grid will seriously affect the security and stability of the power system. This problem can be solved by developing thermo-electrical coupling micro-energy systems. A multi-objective robust planning method is therefore proposed for thermo-electrical coupling micro-energy system with consideration of wind power uncertainty. With the minimum investment & operation cost and minimum system peak-valley fluctuation as the goal, a multi-objective robust planning model is established for thermo-electrical coupling micro integrated energy system. The multi-objective problem is solved using the combined NSGA-II and TOPSIS algorithm. The simulation results show that the proposed method can improve the utilization rate of wind power and increase the system economy, and has a certain value for engineering applications. |
| format | Article |
| id | doaj-art-93ca8b703f4240adb23c6417aa830180 |
| institution | OA Journals |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2021-04-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-93ca8b703f4240adb23c6417aa8301802025-08-20T02:05:03ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492021-04-0154411912910.11930/j.issn.1004-9649.202010037zgdl-54-4-zhangminA Multi-objective Robust Planning Method for Thermal-Electrical Coupling Micro-energy System Considering the Uncertainty of Renewable EnergyMin ZHANG0Jinhao WANG1Xiao CHANG2Chaoying YANG3Ran LI4Changwen SUN5Rui FAN6State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, ChinaState Grid Shanxi Electric Power Research Institute, Taiyuan 030001, ChinaState Grid Shanxi Electric Power Research Institute, Taiyuan 030001, ChinaState Grid Shanxi Electric Power Company, Taiyuan 030021, ChinaState Grid Shanxi Electric Power Research Institute, Taiyuan 030001, ChinaState Grid Shanxi Electric Power Research Institute, Taiyuan 030001, ChinaState Grid Shanxi Electric Power Research Institute, Taiyuan 030001, ChinaDue to the high randomness and intermittency of renewable energy, the large-scale connection of renewable energy to the power grid will seriously affect the security and stability of the power system. This problem can be solved by developing thermo-electrical coupling micro-energy systems. A multi-objective robust planning method is therefore proposed for thermo-electrical coupling micro-energy system with consideration of wind power uncertainty. With the minimum investment & operation cost and minimum system peak-valley fluctuation as the goal, a multi-objective robust planning model is established for thermo-electrical coupling micro integrated energy system. The multi-objective problem is solved using the combined NSGA-II and TOPSIS algorithm. The simulation results show that the proposed method can improve the utilization rate of wind power and increase the system economy, and has a certain value for engineering applications.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202010037thermal-electrical coupling micro-energy systemuncertaintymulti-objective optimizationrobust planning |
| spellingShingle | Min ZHANG Jinhao WANG Xiao CHANG Chaoying YANG Ran LI Changwen SUN Rui FAN A Multi-objective Robust Planning Method for Thermal-Electrical Coupling Micro-energy System Considering the Uncertainty of Renewable Energy Zhongguo dianli thermal-electrical coupling micro-energy system uncertainty multi-objective optimization robust planning |
| title | A Multi-objective Robust Planning Method for Thermal-Electrical Coupling Micro-energy System Considering the Uncertainty of Renewable Energy |
| title_full | A Multi-objective Robust Planning Method for Thermal-Electrical Coupling Micro-energy System Considering the Uncertainty of Renewable Energy |
| title_fullStr | A Multi-objective Robust Planning Method for Thermal-Electrical Coupling Micro-energy System Considering the Uncertainty of Renewable Energy |
| title_full_unstemmed | A Multi-objective Robust Planning Method for Thermal-Electrical Coupling Micro-energy System Considering the Uncertainty of Renewable Energy |
| title_short | A Multi-objective Robust Planning Method for Thermal-Electrical Coupling Micro-energy System Considering the Uncertainty of Renewable Energy |
| title_sort | multi objective robust planning method for thermal electrical coupling micro energy system considering the uncertainty of renewable energy |
| topic | thermal-electrical coupling micro-energy system uncertainty multi-objective optimization robust planning |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202010037 |
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