计及不确定性和需求响应的风光燃储集成虚拟电厂随机调度优化模型Stochastic Scheduling Optimization Model for Virtual Power Plant of Integrated Wind-Photovoltaic-Energy Storage System Considering Uncertainty and Demand Response
徐辉;焦扬;蒲雷;何楠;王尧;谭忠富;
摘要(Abstract):
为促进以风光为代表的分布式能源发电并网,集成风电、光伏发电、燃气轮机、储能系统和激励型需求响应为虚拟电厂(virtual power plant,VPP),引入条件风险价值(conditional value at risk,CVaR)理论和置信度方法描述VPP运行不确定性,以运营收益最大化为目标函数,建立VPP常规调度优化模型,确定VPP运行收益的门槛值。然后,应用CVaR理论描述VPP运行目标函数中不确定性因素,应用置信度方法转换含不确定性变量的约束条件,建立考虑运行风险的VPP随机调度优化模型。最后,选择改进IEEE 30节点系统作为仿真系统,结果表明:价格型需求响应能够平缓用电负荷曲线,储能系统和激励型需求响应能够增加VPP运营收益。VPP常规调度收益为9 550.19元,风光并网电量为12.49 MW×h,风险规避调度收益为8 995.34元,风光并网电量为11.31 MW×h,这意味着CVaR理论和置信度方法能够用于描述VPP运行风险,通过设置门槛值和置信度反映决策者风险态度,为决策者提供风险控制工具。
关键词(KeyWords): 虚拟电厂;CVaR;不确定性;需求响应
基金项目(Foundation): 国家自然科学基金项目(71573084);; 北京市社会科学基金项目(16JDYJB044)~~
作者(Author): 徐辉;焦扬;蒲雷;何楠;王尧;谭忠富;
Email:
DOI: 10.13335/j.1000-3673.pst.2016.3379
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