| 引用本文: | 刘蓉晖,赵增凯,孙改平,米阳,潘正宁.考虑不同风险偏好的虚拟电厂优化策略及利润分配[J].电力自动化设备,2021,41(4): |
| LIU Ronghui,ZHAO Zengkai,SUN Gaiping,MI Yang,PAN Zhengning.Optimization strategy and profit allocation of virtual power plant considering different risk preference[J].Electric Power Automation Equipment,2021,41(4): |
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| 摘要: |
| 以虚拟电厂形式将需求侧资源(分布式能源、柔性负荷、储能等)进行聚合并优化管理，可以有效提高整体的竞争力和经济性。在此基础上考虑虚拟电厂面临的不确定性及其内部的利润分配问题，建立计及风险偏好的虚拟电厂日前调度模型，采用条件风险价值理论对不确定因素风险进行量化处理，求得不同风险水平下虚拟电厂的运营策略和收益，并对不同的运营策略采用模糊决策处理，为虚拟电厂管理者提供参考方案；同时综合考虑虚拟电厂内部各主体的风险水平和边际效益，以纳什谈判模型为主，结合Shapley值法和独立风险贡献理论的分配方法对虚拟电厂的总收益进行利润分配。最后通过算例仿真验证了运营管理模型的有效性，并通过对需求侧资源的风险大小和利润大小进行分析，证明了该利润分配制度的合理性。 |
| 关键词: 虚拟电厂 条件风险价值 模糊决策 纳什谈判 利润分配 |
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| 基金项目:上海绿色能源并网工程技术研究中心项目(13DZ2251900)；上海市科委地方能力建设计划(16020500900) |
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| Optimization strategy and profit allocation of virtual power plant considering different risk preference |
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LIU Ronghui1, ZHAO Zengkai1, SUN Gaiping1, MI Yang1, PAN Zhengning2
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1.School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200082, China;2.State Grid Shanghai Electric Power Company Maintenance Company, Shanghai 200063, China
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| Abstract: |
| Aggregating and optimizing the management of demand-side resources(distributed energy, flexible loads, energy storage, etc) in the form of VPP(Virtual Power Plant) can effectively improve the overall competitiveness and economy. On this basis, considering the uncertainty faced by VPP and its internal profit allocation, a VPP day-to-day scheduling model considering risk preference is established. The CVaR(Conditional Value at Risk) theory is used to quantify the risk of uncertain factors, and the operating strategy and benefits of VPP under different risk levels are obtained. Fuzzy decision making is adopted for different operation strategies to provide reference solutions for VPP managers. Considering the risk level and marginal benefit of each subject in the virtual power plant, the distribution method based on the Nash negotiation model, combining Shapley value method and independent risk contribution theory, is used to distribute the profits of VPP. Finally, the effectiveness of the operation management model is verified by numerical simulation. By analyzing the risk and profit of the demand-side resources, the rationality of the profit distribution system is proved. |
| Key words: virtual power plant CVaR fuzzy decision making Nash negotiation profit distribution |
