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加权最小二乘状态估计量测权值计算的实用方法
引用本文:龚成明,於益军,路轶,徐田,王丹.加权最小二乘状态估计量测权值计算的实用方法[J].电力系统自动化,2016,40(11):143-147.
作者姓名:龚成明  於益军  路轶  徐田  王丹
作者单位:国电南瑞科技股份有限公司, 江苏省南京市 211106; 智能电网保护和运行控制国家重点实验室, 江苏省南京市 211106; 国网四川省电力公司, 四川省成都市 610041,中国电力科学研究院(南京), 江苏省南京市 210003,国网四川省电力公司, 四川省成都市 610041,国网江苏省电力公司, 江苏省南京市 210024,国网河南省电力公司, 河南省郑州市 450052
摘    要:分析了实际系统中直接影响加权最小二乘状态估计量测权值的因素,基于量测精度等级及满量程提出了设置量测权值的实用化方法,展示了实际系统中典型量测权值的标幺化数值,可以看出不同电压等级功率量测权值的差别以及电压幅值量测和功率量测权值之间的关系。使用文中方法计算得到的量测权值能更准确地反映量测精度,从而能够提高状态估计结果的准确性,模拟算例和实际工程应用验证了所述方法的有效性。文中还分析说明了计算两种派生量测权值的方法以及选取零注入量测权值的原则。

关 键 词:状态估计  量测权值  精度等级  满量程  标幺化权值  加权最小二乘
收稿时间:2015/6/15 0:00:00
修稿时间:2016/3/17 0:00:00

Practical Method for Calculating Measurement Weights in Weighted Least Square State Estimation
GONG Chengming,YU Yijun,LU Yi,XU Tian and WANG Dan.Practical Method for Calculating Measurement Weights in Weighted Least Square State Estimation[J].Automation of Electric Power Systems,2016,40(11):143-147.
Authors:GONG Chengming  YU Yijun  LU Yi  XU Tian and WANG Dan
Affiliation:NARI Technology Co. Ltd., Nanjing 211106, China; State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106, China; State Grid Sichuan Electric Power Company, Chengdu 610041, China,China Electric Power Research Institute(Nanjing), Nanjing 210003, China,State Grid Sichuan Electric Power Company, Chengdu 610041, China,State Grid Jiangsu Electric Power Company, Nanjing 210024, China and State Grid Henan Electric Power Company, Zhengzhou 450052, China
Abstract:This paper analyzes the affecting factors of measurement weight and addresses a practical way to calculate the default weights based on the information of measurement precision grade and full scale. Typical per-unit weight values from actual systems are illustrated to show the great difference between power measurement at different voltage levels and the relationship between power measurement and voltage measurement. As the proposed method is based on available information that can well represent the precision of measurement, more appropriate weights can be generated and hence higher state estimation precision. The effectiveness of the proposed method is verified by simulated case studies. Furthermore, the method for calculating the weights of two kinds of combined measurement and the principles of setting proper weights for zero-injection measurement are briefly treated.
Keywords:state estimation  measurement weight  precision grade  full scale  per-unit weight values  weighted least square(WLS)
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