摘要
针对目前电网参数辨识与估计方法存在的数值稳定性变差、易发散及易受残差污染干扰等问题,提出了一种基于混合量测的电网参数辨识与估计方法。该方法首先利用广域测量系统(WAMS)的测量数据计算相对残差,初步判断是否存在参数错误,然后利用相量测量单元(PMU)能够测量电压和电流相量的特性,建立支路两端变量之间的直接联系,对存在参数错误的支路进行辨识,并在此基础上使用智能优化算法估计支路参数。在IEEE 39测试系统上的仿真实验表明,该方法只需安装约1/2总母线数的PMU即可对全网传输线路和变压器进行参数辨识与估计。
Conventional parameter identifying methods always encounter numerical instability, divergence and residual contamination. This paper proposes a new method to overcome these problems. First, the relative residual is worked out with measurement from the wide-area measurement system （WAMS） to preliminarily judge the existence of parameter error. Then the new method makes full use of the voltage and current phasors gathered by phasor measurement units （PMUs） to establish a direct relationship among the variables at both ends of the branch, with which, the branches with parameter errors can be identified and their parameters estimated with the optimization method as well. Simulation results on the IEEE 39-bus system show that all the parameters of transmission lines and transformers in a power grid can be monitored as long as half of the buses are equipped with PMU.
出处
《电力系统自动化》
EI
CSCD
北大核心
2008年第5期1-5,共5页
Automation of Electric Power Systems
基金
国家重点基础研究发展计划(973计划)资助项目(2004CB217902)
国家自然科学基金资助项目(50507018,50595414,60421002)
“十一五”国家科技支撑计划重大项目(2006BAA02A01)
教育部科学技术研究重大项目(305008)
关键词
参数辨识
广域测量系统
相量测量单元
监控与数据采集(SCADA)系统
parameter identification
wide-area measurement system （WAMS）
phasor measurement unit （PMU）
supervi sorycontrol and data acquisition （SCADA）
