Polyhedral Uncertainty Set Based Power System Flexibility Quantitative Assessment
With the continuous increase in the proportion of renewable energy sources such as wind and solar PV integrated into the power system, the rise in source-load uncertainty has exacerbated the demand for operational flexibility within the grid. To accurately quantify this flexibility demand and devise...
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2024-09-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202404123 |
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| author | Donglei SUN Xian WANG Yi SUN Xiangfei MENG Yongchen ZHANG Yumin ZHANG |
| author_facet | Donglei SUN Xian WANG Yi SUN Xiangfei MENG Yongchen ZHANG Yumin ZHANG |
| author_sort | Donglei SUN |
| collection | DOAJ |
| description | With the continuous increase in the proportion of renewable energy sources such as wind and solar PV integrated into the power system, the rise in source-load uncertainty has exacerbated the demand for operational flexibility within the grid. To accurately quantify this flexibility demand and devise an optimization scheme that balances both flexibility and economy, a quantification and assessment methodology for power system flexibility is proposed, based on polyhedral uncertainty sets. Firstly, the volatility, uncertainty, and correlation characteristics of multiple photovoltaic power stations' outputs are quantified using polyhedral uncertainty sets. Subsequently, the net load fluctuation interval is analyzed, and a quantification model for power system flexibility demand is constructed. Secondly, an affine adjustable robust optimization model that incorporates flexibility demands is established based on affine strategies. This robust optimization model is then transformed into a mixed-integer linear programming (MILP) model for solution. Finally, the optimization results of the proposed model are compared under different uncertainty scenarios using a 6-node system and the IEEE 57-bus system, verifying the effectiveness of the proposed methodology in quantifying and assessing system flexibility demands. |
| format | Article |
| id | doaj-art-6dfd97b5810b440c851b4903ff9f5f3e |
| institution | DOAJ |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2024-09-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-6dfd97b5810b440c851b4903ff9f5f3e2025-08-20T02:56:45ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492024-09-0157914615510.11930/j.issn.1004-9649.202404123zgdl-57-11-zhangPolyhedral Uncertainty Set Based Power System Flexibility Quantitative AssessmentDonglei SUN0Xian WANG1Yi SUN2Xiangfei MENG3Yongchen ZHANG4Yumin ZHANG5Economic & Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250021, ChinaEconomic & Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250021, ChinaEconomic & Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250021, ChinaEconomic & Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250021, ChinaCollege of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, ChinaWith the continuous increase in the proportion of renewable energy sources such as wind and solar PV integrated into the power system, the rise in source-load uncertainty has exacerbated the demand for operational flexibility within the grid. To accurately quantify this flexibility demand and devise an optimization scheme that balances both flexibility and economy, a quantification and assessment methodology for power system flexibility is proposed, based on polyhedral uncertainty sets. Firstly, the volatility, uncertainty, and correlation characteristics of multiple photovoltaic power stations' outputs are quantified using polyhedral uncertainty sets. Subsequently, the net load fluctuation interval is analyzed, and a quantification model for power system flexibility demand is constructed. Secondly, an affine adjustable robust optimization model that incorporates flexibility demands is established based on affine strategies. This robust optimization model is then transformed into a mixed-integer linear programming (MILP) model for solution. Finally, the optimization results of the proposed model are compared under different uncertainty scenarios using a 6-node system and the IEEE 57-bus system, verifying the effectiveness of the proposed methodology in quantifying and assessing system flexibility demands.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202404123new energyuncertaintyoperational flexibilitypolyhedral uncertainty setsaffine adjustable robust optimization |
| spellingShingle | Donglei SUN Xian WANG Yi SUN Xiangfei MENG Yongchen ZHANG Yumin ZHANG Polyhedral Uncertainty Set Based Power System Flexibility Quantitative Assessment Zhongguo dianli new energy uncertainty operational flexibility polyhedral uncertainty sets affine adjustable robust optimization |
| title | Polyhedral Uncertainty Set Based Power System Flexibility Quantitative Assessment |
| title_full | Polyhedral Uncertainty Set Based Power System Flexibility Quantitative Assessment |
| title_fullStr | Polyhedral Uncertainty Set Based Power System Flexibility Quantitative Assessment |
| title_full_unstemmed | Polyhedral Uncertainty Set Based Power System Flexibility Quantitative Assessment |
| title_short | Polyhedral Uncertainty Set Based Power System Flexibility Quantitative Assessment |
| title_sort | polyhedral uncertainty set based power system flexibility quantitative assessment |
| topic | new energy uncertainty operational flexibility polyhedral uncertainty sets affine adjustable robust optimization |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202404123 |
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