Market Oriented Low-Carbon Optimal Scheduling of Virtual Power Plants Considering Multiple User-Side Resources Coordination
To leverage the synergistic effects of diverse user-side resources, enhance the revenue of Virtual Power Plants (VPPs) participating in the joint electricity-carbon market, and mitigate risks arising from the uncertainty of renewable energy sources (such as wind and solar) and electricity prices, an...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2025-02-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202407102 |
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| _version_ | 1850249677806501888 |
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| author | Mingbing LI Qiang LI Xiyang GUAN Haoyang ZHOU Rui LU Yankun FENG |
| author_facet | Mingbing LI Qiang LI Xiyang GUAN Haoyang ZHOU Rui LU Yankun FENG |
| author_sort | Mingbing LI |
| collection | DOAJ |
| description | To leverage the synergistic effects of diverse user-side resources, enhance the revenue of Virtual Power Plants (VPPs) participating in the joint electricity-carbon market, and mitigate risks arising from the uncertainty of renewable energy sources (such as wind and solar) and electricity prices, an optimized low-carbon dispatching method for VPPs considering the coordination of diverse user-side resources in a market environment is proposed. Firstly, based on the synergistic effects of various user-side resources, a strategy for VPPs to participate in the joint electricity-carbon market operation is formulated. Secondly, a tiered carbon trading model with incentives and penalties for VPPs is established, where different transaction interval prices are set according to carbon trading volumes, thereby achieving carbon-electricity coupling. Finally, an optimized low-carbon dispatching model for VPPs participating in the joint electricity-carbon market is constructed. In this model, Conditional Value at Risk (CVaR) is introduced to measure the relationship between market returns and risks, and the model is transformed into a Mixed Integer Linear Programming (MILP) problem for solution. Through case studies, it is demonstrated that this method can effectively harness the synergistic effects of user-side resources, address the uncertainty risks associated with renewable energy sources and electricity prices, and achieve both economic efficiency and low-carbon performance for VPPs participating in market operations. |
| format | Article |
| id | doaj-art-bf005ddaba294f4bb2359457df31f962 |
| institution | OA Journals |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2025-02-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-bf005ddaba294f4bb2359457df31f9622025-08-20T01:58:27ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492025-02-01582667610.11930/j.issn.1004-9649.202407102zgdl-58-01-limingbingMarket Oriented Low-Carbon Optimal Scheduling of Virtual Power Plants Considering Multiple User-Side Resources CoordinationMingbing LI0Qiang LI1Xiyang GUAN2Haoyang ZHOU3Rui LU4Yankun FENG5School of Electrical Engineering, Shandong University, Jinan 250061, ChinaState Grid Shandong Electric Power Company Marketing Service Center (Metrology Center), Jinan 250001, ChinaSchool of Electrical Engineering, Shandong University, Jinan 250061, ChinaSchool of Electrical Engineering, Shandong University, Jinan 250061, ChinaState Grid Shandong Electric Power Company Marketing Service Center (Metrology Center), Jinan 250001, ChinaState Grid Shandong Electric Power Company Marketing Service Center (Metrology Center), Jinan 250001, ChinaTo leverage the synergistic effects of diverse user-side resources, enhance the revenue of Virtual Power Plants (VPPs) participating in the joint electricity-carbon market, and mitigate risks arising from the uncertainty of renewable energy sources (such as wind and solar) and electricity prices, an optimized low-carbon dispatching method for VPPs considering the coordination of diverse user-side resources in a market environment is proposed. Firstly, based on the synergistic effects of various user-side resources, a strategy for VPPs to participate in the joint electricity-carbon market operation is formulated. Secondly, a tiered carbon trading model with incentives and penalties for VPPs is established, where different transaction interval prices are set according to carbon trading volumes, thereby achieving carbon-electricity coupling. Finally, an optimized low-carbon dispatching model for VPPs participating in the joint electricity-carbon market is constructed. In this model, Conditional Value at Risk (CVaR) is introduced to measure the relationship between market returns and risks, and the model is transformed into a Mixed Integer Linear Programming (MILP) problem for solution. Through case studies, it is demonstrated that this method can effectively harness the synergistic effects of user-side resources, address the uncertainty risks associated with renewable energy sources and electricity prices, and achieve both economic efficiency and low-carbon performance for VPPs participating in market operations.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202407102user-side resourcevirtual power plantrisk of uncertaintyelectricity-carbon combined marketeconomic dispatch |
| spellingShingle | Mingbing LI Qiang LI Xiyang GUAN Haoyang ZHOU Rui LU Yankun FENG Market Oriented Low-Carbon Optimal Scheduling of Virtual Power Plants Considering Multiple User-Side Resources Coordination Zhongguo dianli user-side resource virtual power plant risk of uncertainty electricity-carbon combined market economic dispatch |
| title | Market Oriented Low-Carbon Optimal Scheduling of Virtual Power Plants Considering Multiple User-Side Resources Coordination |
| title_full | Market Oriented Low-Carbon Optimal Scheduling of Virtual Power Plants Considering Multiple User-Side Resources Coordination |
| title_fullStr | Market Oriented Low-Carbon Optimal Scheduling of Virtual Power Plants Considering Multiple User-Side Resources Coordination |
| title_full_unstemmed | Market Oriented Low-Carbon Optimal Scheduling of Virtual Power Plants Considering Multiple User-Side Resources Coordination |
| title_short | Market Oriented Low-Carbon Optimal Scheduling of Virtual Power Plants Considering Multiple User-Side Resources Coordination |
| title_sort | market oriented low carbon optimal scheduling of virtual power plants considering multiple user side resources coordination |
| topic | user-side resource virtual power plant risk of uncertainty electricity-carbon combined market economic dispatch |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202407102 |
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