含需求响应特征矩阵函数的两阶段风险调度  

Two-stage Risk Scheduling with Demand Response Characteristic Matrix Function

作　　者：潘轩 周任军[1] 刘镂志 李雪芹 殷旭锋 PAN Xuan;ZHOU Renjun;LIU Louzhi;LI Xueqin;YIN Xufeng(Hunan Province Collaborative Innovation Center of Clean Energy and Smart Grid(Changsha University of Science and Technology),Changsha 410114,China)

机构地区：[1]湖南省清洁能源与智能电网协同创新中心(长沙理工大学),长沙410114

出　　处：《电力系统及其自动化学报》2021年第5期38-46,共9页Proceedings of the CSU-EPSA

基　　金：国家自然科学基金资助项目(71331001,91746118);湖南省自然科学基金资助项目(2019JJ40302)。

摘　　要：为了考虑并规避价格型需求响应带来的风险,针对电量变化与电价变化间存在的需求响应关系,采用自适应最优分割法对非线性的需求响应进行拟合,并对需求响应波动做量化刻画,提出了需求响应特征矩阵函数。选取虚拟电厂为背景,采用场景生成方法模拟系统风电和需求响应波动,将需求响应特征矩阵函数计入采用条件风险价值来度量系统不确定风险的优化模型,并以系统期望总收益最大为目标,建立了含需求响应特征矩阵函数的两阶段风险调度模型。仿真结果表明,所建模型能进一步规避风险和提升调度期望总收益,验证了所刻画需求关系和模型有效性。所提方法和模型可为风险规避问题提供借鉴,为不同风险偏好程度的调度提供参考。To take into account and further avoid the risks caused by price-based demand response,the adaptive optimal segmentation method is used to fit the non-linear demand response that exists between changes in electricity quantity and electricity price.In addition,the quantitative description of demand response fluctuations is performed,and a demand response characteristic matrix function is proposed.A virtual power plant is selected as the background,and the scenario generation method is adopted to simulate the system wind power and demand response fluctuations.The demand response characteristic matrix function is included in the optimization model that applies the conditional value-atrisk to measure the system’s uncertain risk.With the system’s maximum total expected return as the objective,a twostage risk scheduling model with the demand response characteristic matrix function is established.Simulation results show that the established model can further avoid risks and increase the total expected return of scheduling,which verifies the demand relationship described in this paper as well as the model validity.The method and model proposed in this paper can provide reference for risk avoidance and scheduling at different degrees of risk preference.

关 键 词：特征矩阵 风险规避 需求响应 自适应最优分割法 

分 类 号：TM72[电气工程—电力系统及自动化]