考虑最差条件风险价值的主动配电网优化调度研究  

Optimal dispatch of active distribution network considering worst-case conditional value-at-risk

作　　者：施卫杰 金茜[2] 李禹鹏 刘扬洋 龚锦霞[4] 

机构地区：[1]国网上海市南供电公司,上海200233 [2]国网北京经济技术研究院,北京102209 [3]国网上海松江供电公司,上海201600 [4]上海电力学院电气工程系,上海200082

出　　处：《机电工程》2017年第11期1316-1321,共6页Journal of Mechanical & Electrical Engineering

基　　金：国家自然科学资助基金项目(51607112)

摘　　要：针对分布式电源大量入网的管理问题和大量零散分布的需求侧可控资源的利用问题,研究了主动配电网日前调度计划和风险管理问题。针对主动配电网内部随机因素多、不确定性强,而且随机变量的分布信息难以准确预测的特点,采用了最差条件风险价值指标度量主动配电网风险,并建立了考虑最差条件风险价值的主动配电网日前调度模型。利用了最差条件风险价值指标在仅已知随机变量概率分布所属集合的情况下评估主动配电网风险,保证调度计划对随机变量随机性和概率分布不确定性具有鲁棒性。研究结果表明:所提出调度计划能够有效评估并控制主动配电网运营风险,规避主动配电网因避免概率分布预测误差带来的损失。Aiming at managing the large number of integrated distributed generators and utilizing the dispersed located demand side sources,this paper studied the day-ahead dispatch and risk management problem of active distribution network( ADN). Aiming at that ADN contains various random factors and random variables' precious distribution functions are hard to predict,this paper adopted worst-case conditional value-at-risk( WCVaR) to measure the risk suffered by ADN,and proposed a day-ahead schedule model considering WCVaR. WCVaR was adopted to estimate ADN's risk by only having the possible sets of random variables' distribution,and ensure the robustness of optimal schedule against distribution uncertainties. The results indicate that the proposed model can estimate and control ADN'S risk effectively,and the schedule model can avoid the losses resulted from distribution forecasted errors.

关 键 词：主动配电网 调度计划 风险管理 最差风险价值 

分 类 号：TM732[电气工程—电力系统及自动化]