考虑风电相关性的改进优化场景法计算电力系统区间潮流  

Improved optimal scenario method for calculating interval currents of power systems considering the influence of wind power correlation

作　　者：赵奇 田江 吕洋 闪鑫 张鸿 陈中[4] ZHAO Qi;TIAN Jiang;LV Yang;SHAN Xin;ZHANG Hong;CHEN Zhong(State Grid Jiangsu Electric Power Company Electric Power Research Institute,Suzhou 215004,China;NARI Group Corporation,Nanjing 211106,China;China Electric Power Research Institute,Beijing 100192,China;School of Electrical Engineering,Southeast University,Nanjing 210096,China)

机构地区：[1]国网江苏省电力有限公司苏州供电分公司,江苏苏州215004 [2]南瑞集团公司,江苏南京211106 [3]中国电力科学研究院有限公司,北京100192 [4]东南大学电气工程学院,江苏南京210096

出　　处：《电气应用》2022年第4期48-57,I0007,I0008,共12页Electrotechnical Application

基　　金：国家电网公司总部科技项目“能源变革下的城市电网态势感知及调度控制技研究”重点资助项目(5108-202018026A-0-0-00)。

摘　　要：同一区域内风电场出力具有不确定性以及相关性的特点,对电力系统计算不确定性潮流产生重要影响。为掌握系统状态量的分布特性,在计算区间潮流过程中需要考虑风电的不确定性以及相关性。为此,提出一种考虑风电相关性影响的改进优化场景法计算电力系统区间潮流。基于极值定理建立改进优化场景算法的模型,然后使用泰勒级数将模型中的非线性元素进行逐级展开,以达到消去模型中的三角函数的目的,有利于提高计算区间潮流的效率。同时使用相关角量化风电出力的相关性,构建含风电相关性的区间潮流模型,然后根据仿射变换将含风电相关性的区间转换为独立的区间变量,代入到所建立的区间潮流算法模型。最后在IEEE 118节点系统中进行算例分析,验证了所提计算方法相对于常规仿射算法在精确性方面的优越性,且与优化场景法相比,计算效率明显提高。The power of wind farm in the same region has the characteristics of uncertainty and correlation,which has a significant impact on the calculation of uncertain power flow the power system.In order to grasp the distribution characteristics of the system state quantities,the uncertainty as well as the correlation of wind power need to be considered in the process of calculating interval currents.To this end,an improved optimization scenario method is proposed to calculate the interval tide of the power system considering the influence of wind power correlation.The correlation angle is used to quantify the correlation of wind power output,while the improved optimization scenario algorithm is modeled based on the extreme value theorem,and then the nonlinear elements in the model are linearized,which is conducive to improving the efficiency of calculating interval currents.The proposed computational method is verified to be superior in accuracy compared to the conventional affine algorithm and has a significant improvement in computational efficiency compared to the Monte Carlo method by performing case studies in the IEEE 118 node systems.

关 键 词：不确定性 区间相关性 区间潮流 极值定理 优化场景法 

分 类 号：TM614[电气工程—电力系统及自动化] TM744