摘要
针对大规模可再生能源并网发电产生的不确定性问题,提出计及条件风险价值(CVaR)的含光热电站(CSP)的鲁棒机组组合模型。首先,建立了CSP机组持续且稳定供电的数学表达;然后,引入CVaR概念用于度量不确定风电给调度运行带来的风险损失,建立计及CVaR的含CSP的鲁棒机组组合模型,构造包含区间、时间和空间的多维不确定性集合,实现对风力发电的不确定性调节;最后,以IEEE 6节点和IEEE 118节点系统为例,验证了模型的有效性。
Targeting the uncertainty in large-scale grid-connected renewable energy generation system,the paper proposes a robust unit commitment model with concentrating solar power(CSP)plants is proposed by considering conditional value at risk(CVaR).Firstly,the mathematical expression of CSP units to continuously and steadily supply power is deduced.Secondly,the concept of CVaR is introduced to estimate the risk loss of dispatching operation brought by uncertain wind power,and a robust unit commitment model with CSP plants considering CVaR is established,constructing a multidimensional uncertainty set including interval,time,and space,and realizing the uncertainty adjustment for wind power generation.Finally,the efficiency of the proposed model is verified by using an IEEE 6-bus and IEEE 118-bus systems.
作者
张玉敏
吴福成
张少梅
吉兴全
钟世民
孙东磊
ZHANG Yumin;WU Fucheng;ZHANG Shaomei;JI Xingquan;ZHONG Shimin;SUN Donglei(College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China;College of Electronic and Information Engineering,Shandong University of Science and Technology,Qingdao 266590,China;State Grid Qingdao Power Supply Company,Qingdao 266000,China;Economic&Technology Research Institute,State Grid Shandong Electric Power Company,Jinan 250021,China)
出处
《智慧电力》
北大核心
2023年第10期62-69,共8页
Smart Power
基金
国家自然科学基金青年资助项目(52107111)
中国博士后面上基金资助项目(2023M734092)。