基于状态量测的电网拓扑结构反向识别方法研究  

Research on Reverse Recognition Method of Power System Topological Structure Based on State Measurement

作　　者：刘道伟 章锐 李柏青 贠志皓[3] 杨红英 李宗翰 LIU Daowei;ZHANG Rui;LI Baiqing;YUN Zhihao;YANG Hongying;LI Zonghan(China Electric Power Research Institute,Haidian District,Beijing 100192,China;State Grid Key Laboratory of Information&Network Security(Global Energy Interconnection Research Institute),Nanjing 210003,Jiangsu Province,China;Key Laboratory of Power System Intelligent Dispatch and Control(Shandong University),Ministry of Education,Jinan 250061,Shandong Province,China)

机构地区：[1]中国电力科学研究院有限公司,北京市海淀区100192 [2]信息网络安全国网重点实验室(全球能源互联网研究院有限公司),江苏省南京市210003 [3]电网智能化调度与控制教育部重点实验室(山东大学),山东省济南市250061

出　　处：《中国电机工程学报》2019年第24期7107-7117,共11页Proceedings of the CSEE

基　　金：国家重点研发计划(2018YFB0904500)~~

摘　　要：针对大电网状态变化轨迹,反向识别电网拓扑结构,对实现数据驱动的大电网运行态势感知与智能控制具有重要意义。该文直接根据电网节点支路潮流信息,提出一种基于状态量测的电网拓扑结构反向识别方法。首先从状态量到节点关联的全新角度,将电网拓扑结构反向识别归结为节点进线与出线间全局最优组合问题。然后根据全网支路功率、电流流通特性,建立电网拓扑结构反向识别数学模型;根据电网潮流特性,生成接近电网真实拓扑的初始解,为加快求解速度对解空间进行了优化。其次基于电网量测单时间断面数据,采用遗传智能算法对该模型进行求解,引入支路电流、电压差值率克服电网拓扑结构反向识别不唯一问题。理论上,当全网有功损耗等于量测损耗、有功电流差值等于量测差值,且电压差值率为零时,即得到电网唯一拓扑。最后利用IEEE39、IEEE 118节点系统进行测试,验证了所提方法的有效性。The inversion of power system topological structure is important to achieve data-driven power grid running situational awareness and intelligent control in power system spatiotemporal trajectory. According to the power flow information of the node branch of grid directly, this paper proposed a reverse identification method of power system topological structure based on state measurement. Firstly, the reverse of grid topology was attributed to the optimal combination of incoming and outgoing lines, from the new angle of state to node correlation. Secondly, the mathematical model of topology structure inversion was established according to the power and current flow characteristics of the whole network. According to the power flow characteristics of the power grid, the initial solution close to the real topology of the power grid was generated, and the solution space was optimized for accelerating the solving speed. Thirdly, based on the measurement of the single time section data of the power grid, the genetic intelligent algorithm was used to solve the model, and the branch current and voltage difference rate were introduced to overcome the problem that the reverse identification solution of the topology structure of the power grid was not unique. In theory, when the active power loss equals the measurement loss, the active current difference equals the measurement difference, and the voltage difference rate is zero, the unique topology of the power grid is obtained. Finally, the test and results of IEEE 39-bus and IEEE 118-bus system verify the effectiveness of the proposed method.

关 键 词：电力系统 拓扑结构 反向识别 遗传算法 数据驱动 

分 类 号：TM711[电气工程—电力系统及自动化]