基于改进RLS算法的时变幂函数负荷模型参数辨识  

Parameter Identification of Time-varying Exponential Load Model Based on Improved RLS Algorithm

作　　者：陈涵 郝瑞祥[1] 刘颖英 王慧 王同勋 李大路 CHEN Han;HAO Ruixiang;LIU Yingying;WANG Hui;WANG Tongxun;LI Dalu(School of Electrical Engineering,Beijing Jiaotong University,Beijing 100089,China;Global Energy Interconnection Research Institute Co.,Ltd.,Beijing 102200,China;State Key Laboratory of Advanced Power Transmission Technology,Bejing 102200,China;Department of Electrical Engineering,North China Electric Power University(Baoding),Baoding 071003,China;Tebian Electric Apparatus Stocks Co.,Ltd.,Bejjing 100070,China)

机构地区：[1]北京交通大学电气工程学院,北京100089 [2]全球能源互联网研究院有限公司,北京102200 [3]先进输电技术国家重点实验室,北京102200 [4]华北电力大学(保定)电力工程系,保定071003 [5]特变电工股份有限公司,北京100070

出　　处：《高电压技术》2020年第7期2380-2387,共8页High Voltage Engineering

基　　金：国家电网有限公司科技项目(SGGR0000DLJS1900283)。

摘　　要：考虑到实际配电网负荷的组成会随着用户行为、天气状况以及系统运行方式而发生变化,负荷模型的参数与外界影响因子之间的关系是复杂且非线性的,并应随时间发生变化,因此,提出采用考虑时变性的幂函数模型来描述配电网负荷和电压随时间变化的情况。此外,为了提高模型参数辨识的准确性,提出基于三阶累积量的可变遗忘因子递推最小二乘法,用于自适应跟踪模型的时变参数。基于数字仿真算例和电网实际采样数据,对改进算法和传统递推最小二乘法的负荷模型参数辨识结果进行了仿真比较,从各类误差评价指标来看,改进算法估计精度优于传统递推最小二乘法,具有良好的跟踪性能和抑噪性能。The load consumption always changes with time due to factors such as human behaviors,weather conditions and continuous on/off switches of different kinds of loads,thus the relationship parameters of the load model with external factors is complex and nonlinear,and the parameters are not constants.Therefore,the load voltage characteristics exponential model in which time-varying is taken into consideration is proposed to describe the load and voltage variation with time in distribution network.Moreover,the improved recursive least square(RLS)algorithm based on the cumulant and variable forgetting factor is proposed to estimate time-varying exponential model parameters.The identification results of the improved algorithm and the traditional RLS algorithm are compared based on the digital simulation example and the actual sampling data of the power grid.From the angles of all kinds of error evaluation indexes,the estimation accuracy of the improved algorithm is better than that of the traditional RLS algorithm,which proves that the improved algorithm has good tracking performance and noise suppression performance.

关 键 词：配电网 负荷电压特性 时变幂函数模型 参数辨识 递推最小二乘法 

分 类 号：TM714[电气工程—电力系统及自动化]