| 引用本文: | 刘鑫,李扬,史云鹏,沈运帷.计及用户参与不确定性的虚拟电厂分布鲁棒优化模型[J].电力自动化设备,2022,42(7): |
| LIU Xin,LI Yang,SHI Yunpeng,SHEN Yunwei.Distributionally robust optimization model of virtual power plant considering user participation uncertainty[J].Electric Power Automation Equipment,2022,42(7): |
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| 摘要: |
| 灵活资源的需求响应行为在不同运行状态、激励水平下有很大的不确定性和差异性，需求响应优化方案的精准度有待进一步提高。针对这一问题，提出了一种虚拟电厂中计及用户需求响应不确定性的分布鲁棒优化方法。考虑可中断、可转移、可增长3种灵活资源的响应特性，构建包含用户响应特征参数的精细化需求响应模型；以提升虚拟电厂经济性、电网友好性和用户舒适性为子目标，构建促进多方利益最大化的多目标优化模型；基于数据驱动的分布鲁棒方法，构建精细化响应模型中随机参数的概率分布模糊集，提出虚拟电厂两阶段分布鲁棒优化模型，并采用强对偶理论进行转化求解。算例仿真结果表明所提模型能够提高需求响应精度和虚拟电厂经济收益。 |
| 关键词: 需求响应 不确定性 虚拟电厂 分布鲁棒优化 多目标优化 |
| DOI：10.16081/j.epae.202205041 |
| 分类号:TM734 |
| 基金项目:国家自然科学基金智能电网联合基金资助项目(U1966204)；上海市青年科技英才扬帆计划项目(21YF1414700) |
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| Distributionally robust optimization model of virtual power plant considering user participation uncertainty |
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LIU Xin1, LI Yang1, SHI Yunpeng1, SHEN Yunwei2
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1.School of Electrical Engineering, Southeast University, Nanjing 210096, China;2.College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
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| Abstract: |
| The demand response behaviour of flexible resources is subject to a great deal of uncertainty and difference under different operating states and incentive levels. The accuracy of the demand response optimization scheme needs to be further improved. Aiming at this problem, a distributionally robust optimization method of demand response considering the user participation uncertainty in virtual power plant is proposed. Considering the response characteristics of three types of flexible resources of interruptible, transfe-rable and growable, the refined demand response model including user response characteristic parameters is constructed. Then, the multi-objective optimization model that promotes the maximization of multi-party inte-rests is constructed with the sub-objectives of improving the economy, grid friendliness and user comfort of virtual power plant. Furthermore, based on the data-driven distributionally robust method, the probability distribution fuzzy set of random parameters in the refined response model is constructed. The two-stage distributionally robust optimization model of virtual power plant is proposed, and the strong duality theory is used to solve the model. Simulative results of case study show that the proposed model can improve the accuracy of demand response and the economic benefits of virtual power plant. |
| Key words: demand response uncertainty virtual power plant distributionally robust optimization multi-objective optimization |
