| 碳排放约束下虚拟电厂鲁棒优化竞标模型 |
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| 引用本文： | 孙国强,袁智,许晓慧,汪春,卫志农,臧海祥.碳排放约束下虚拟电厂鲁棒优化竞标模型[J].电力自动化设备,2017,37(2). |
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| 作者姓名： | 孙国强 袁智 许晓慧 汪春 卫志农 臧海祥 |
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| 作者单位： | 河海大学 能源与电气学院，江苏 南京 211100,河海大学 能源与电气学院，江苏 南京 211100,中国电力科学研究院，北京 100192,中国电力科学研究院，北京 100192,河海大学 能源与电气学院，江苏 南京 211100,河海大学 能源与电气学院，江苏 南京 211100 |
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| 基金项目： | 国家自然科学基金资助项目(51277052,51507052); 中国博士后科学基金资助项目(2015M571653) |
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| 摘 要： | 虚拟电厂中的可再生能源发电出力和电力市场的电价具有不确定性特征,在虚拟电厂的竞标中如何处理这些不确定性因素的影响值得深入研究。应用鲁棒优化的方法处理风电出力和电力市场电价的不确定性,同时考虑碳排放约束对虚拟电厂竞标的影响,建立虚拟电厂鲁棒优化竞标模型。算例分析结果验证了所提模型的经济性和鲁棒性,显示了鲁棒优化法处理含有不确定性参数的优化问题的有效性,且碳排放约束会使虚拟电厂竞标策略发生变化。
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| 关 键 词： | 虚拟电厂 不确定性 鲁棒优化 碳排放约束 模型 |
Bidding model based on robust optimization for virtual power plant under carbon emission constraint |
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| SUN Guoqiang,YUAN Zhi,XU Xiaohui,WANG Chun,WEI Zhinong and ZANG Haixiang.Bidding model based on robust optimization for virtual power plant under carbon emission constraint[J].Electric Power Automation Equipment,2017,37(2). |
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| Authors: | SUN Guoqiang YUAN Zhi XU Xiaohui WANG Chun WEI Zhinong and ZANG Haixiang |
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| Affiliation: | College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China,College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China,China Electric Power Research Institute, Beijing 100192, China,China Electric Power Research Institute, Beijing 100192, China,College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China and College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China |
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| Abstract: | Since both the renewable energy power output of virtual power plant and the electricity price of electric power market have uncertainty factors, their impacts on the bidding affairs of virtual power plant should be deeply researched. The robust optimization approach is used to deal with the uncertainties of wind power output and electricity price and a bidding model based on the robust optimization is built for the virtual power plant, which considers the impact of carbon emission constraint at the same time. The result of case analysis verifies the economics and robustness of the proposed model, demonstrates the effectiveness of robust optimization approach in dealing with the uncertainty parameters and shows the influence of carbon emission constraint on the bidding strategy of virtual power plant. |
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| Keywords: | virtual power plant uncertainty robust optimization carbon emission constraint models |
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