摘要
由于在非标准运行环境下,线路、变压器参数将偏离正常标准值,特别是与杠杆点有关的支路阻抗参数错误将严重影响系统的精确态势感知能力,提出了一种基于改进极大似然估计的电力系统支路阻抗参数鲁棒估计方法。该方法首先利用投影统计和耦合关系检测,得到与影响系统状态估计结果相关性最大的杠杆点有关的支路阻抗参数,并将其视作可疑参数。然后,基于极大似然估计方法,将可疑支路阻抗参数作为增广状态变量加入状态估计建立鲁棒参数估计模型,并基于原对偶内点法对该模型进行求解。最后,基于IEEE-39节点标准系统,对本文所提方法进行仿真分析,仿真结果表明本文所提方法能够有效地估计与杠杆点有关的可疑支路阻抗参数,提高系统的精确态势感知能力。
Under the non-standard operating environment,the parameters of transmission lines and transformers will deviate from the normal standard values,especially the error of branch Impedance parameters related to leverage points,seriously affect the system's accurate state awareness.A robust estimation method of power system branch impedance parameters is proposed based on improved GM estimation.The method first uses projection statistics and coupling relationship detection to obtain the branch impedance parameters related to the leverage point that has the greatest correlation with the system state estimation results,and treats them as suspicious parameters.Then,based on the generalized maximum(GM)estimation method,the suspicious branch impedance parameters are added to state estimation(SE)as augmented state variables to establish a robust parameter estimation model,and the model is solved based on the primal-dual interior point method.Finally,based on the IEEE-39 node standard system,the simulation analysis of the proposed method is carried out.The simulation results show that the proposed method can effectively estimate the suspicious branch impedance parameters related to leverage points,improve the system’s accurate state awareness ability.
作者
任千仪
REN Qianyi(College of Electrical Engineering&New Energy,Three Gorges University,Yichang 443000,China)
出处
《智慧电力》
北大核心
2023年第7期96-101,107,共7页
Smart Power
基金
国家自然科学基金资助项目(52107108)。
关键词
极大似然估计
参数估计
投影统计
态势感知
generalized maximum estimate
parameter estimation
projection statistics
state awareness