基于有效降低解空间和优选典型场景的配电网随机机会综合优化  

Stochastic Chance Comprehensive Optimization of Distribution Network Based on Effectively Decreasing Solution Space and Typical Scenarios

作　　者：李清 刘明红 王威[2] 刘威 刘自发[3] 贾政豪 廖孟柯 LI Qing;LIU Minghong;WANG Wei;LIU Wei;LIU Zifa;JIA Zhenghao;LIAO Mengke(State Grid Xinjiang Electric Power Economic and Technology Research Institute,Urumqi 830002,China;College of Intelligent Equipment,Shandong University of Science and Technology,Tai’an 271019,China;School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China)

机构地区：[1]国网新疆电力经济技术研究院,新疆乌鲁木齐830002 [2]山东科技大学智能装备学院,山东泰安271019 [3]华北电力大学电气与电子工程学院,北京102206

出　　处：《智慧电力》2023年第6期57-62,105,共7页Smart Power

基　　金：国家自然科学基金资助项目(51977074);新疆电力有限公司研究项目(5230JY220001)。

摘　　要：可再生能源接入后,配电网综合优化转化为一个大规模不确定的混合整数非线性规划(MINLP),很难高效准确的求解。为此,首先建立基于基尔霍夫定律的机会约束规划模型,优化串联电压源代替开关状态变量,降低了解空间规模;其次,每次选择与典型场景集合中心欧式距离最近的场景,降低由于场景选择不当而造成的优化方案保守性;最后,在求解的过程中,近似线性化地逐环打开求解方法,考虑了环网之间的相互影响也保证了配电网的辐射状。IEEE 33节点和IEEE 69节点系统的仿真结果验证了本文方法的准确性和高效性。The comprehensive optimization of distribution network is expressed as an uncertainty larger-scale mixed integer nonlinear programming(MINLP)problem after the integration of renewable energy sources,and it is difficult to be solved efficiently and accurately.Firstly the paper establishes a chance-constrained programming model using Kirchhoff’s law.The solution space is decreased when using voltage source in series instead of the open/close status of switches.Secondly,the conservation of the solution due to scenario selection is reduced by selecting a scenario with the smallest Euclidean distance to the center of a typical scenario set.Finally,the interaction of loops is handled by opening one switch at each interaction in the solution algorithm,considering the interaction between the loops and ensuring the radial topology structure in the distribution networks.The simulations on IEEE 33-bus and IEEE 69-bus systems show the accuracy and efficiency of the proposed algorithm.

关 键 词：配电网 可再生能源 综合优化 基尔霍夫定律 机会约束规划 

分 类 号：TM732[电气工程—电力系统及自动化]