Research on Diagnosis Method for the Doubtful Parameter of Power Systems

Guocai XIE; Yaping HU; Huafeng ZHOU; Xuanyu ZHAO; Yongxin LIANG; Haoming LIU

doi:10.13648/j.cnki.issn1674-0629.2015.01.017

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South Power Sys Technol ›› 2015, Vol. 9 ›› Issue (1) : 94-98. DOI: 10.13648/j.cnki.issn1674-0629.2015.01.017

Research on Diagnosis Method for the Doubtful Parameter of Power Systems

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Abstract

The quality of the power system state estimation and the practical level of advanced power application softwares would be reduced by the wrong parameter.It is very important to ensure the effectiveness of results of the state estimation when multi bad remote sensing data and parameter errors exist.A diagnosis method for the doubtful parameters of the power grid is proposed.The parameter errors and measurement errors are uniformly modeled in the information space.The measured percentage residuals are calculated according to the weighted least square method, and the suspicious measuring point set is obtained by comparison with the threshold.The relevant indexes of all suspicious measuring points and branches are calculated, then Newton Downhill Method is introduced to determine the optimal estimation of each suspicious parameter according to all suspicious branches, and the corrected parameters are regarded as the returned values.Simulation results show that the network parameter errors and measurement data errors can comprehensively be considered through the proposed method, which can also be applied to the situation where there exist multi error parameters simultaneously, and the accuracy of the parameter identification and diagnosis is effectively improved, and the quality of basic operating data and the practical level of advanced applications of the power grid are improved.

Key words

state estimation / parameter error / suspicious branch / relevant index / basic data

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Guocai XIE , Yaping HU , Huafeng ZHOU , et al . Research on Diagnosis Method for the Doubtful Parameter of Power Systems[J]. Southern Power System Technology. 2015, 9(1): 94-98 https://doi.org/10.13648/j.cnki.issn1674-0629.2015.01.017

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

[1]	于尔铿. 电力系统状态估计[M]. 北京: 水利电力出版社,1985. Cited in this article [2]

[2]	胡亚平, 周华锋. 基于统一元件参数管理的电力系统状态估计维护研究与应用[J]. 广东电力, 2012, 25(10):108-112. HU Yaping, ZHOU Huafeng. Research and application of state estimation and maintenance of power system based on unified component parameter management[J]. Guangdong Electric Power, 2012, 25(10):108-112. Cited in this article [1]

[3]	周华锋, 胡亚平, 谢国财, 等. 电力调度状态估计的实用技术研究与实践[J]. 南方电网技术, 2014, 8(3):21-26. ZHOU Huafeng, HU Yaping, XIE Guocai, et al. Research on the practical technique of state estimation for power system dispatching and its application[J]. Southern Power System Technology, 2014, 8(3):21-26. Cited in this article [1]

[4]	李碧君, 薛禹胜, 顾锦汶, 等. 电力系统状态估计问题的研究现状和展望[J]. 电力系统自动化, 1998, 22(11):53-60. LI Bijun, XUE Yusheng, GU Jinwen, et al. Statue quo and prospect of power system state estimation[J]. Automation of Electrical Power Systems, 1998, 22(11):53-60. Cited in this article [1]

[5]	常乃超, 王彬, 何光宇, 等. 以测点正常率最大为目标的状态估计改进算法[J]. 电力系统自动化, 2014, 38(11):62-67. CHANG Naichao, WANG Bin, HE Guangyu, et al. An improved algorithm for state estimation based on maximum normal measurement rate[J]. Automation of Electric Power Systems, 2014, 38(11):62-67. Cited in this article [1]

[6]

丁宏恩, 高宗和, 苏大威, 等. 混合量测状态估计相角参考点坏数据问题的处理方法[J]. 电力系统自动化, 2014, 38(9):132-136.

DING

Hongen

, GAO

Zonghe

, SU

Dawei

, et al. Solution to bad data problem of phase angle reference bus for state estimation with hybrid measurement[J]. Automation of Electric Power Systems, 2014, 38(9):132-136.

Cited in this article [1]

[7]	李青芯, 孙宏斌, 王晶, 等. 变电站-调度中心两级分布式状态估计. 电力系统自动化, 2012, 36(7):44-50. LI Qingxin, SUN Hongbin, WANG Jing, et al. Substation-dispatch center two-level distributed state estimation[J]. Automation of Electric Power Systems, 2012, 36(6):44-50. Cited in this article [1]

[8]	周苏荃, 柳焯. 新息图法拓扑错误辨识[J]. 电力系统自动化, 2000, 24(4):23-27. ZHOU Suquan, LIU Zhuo. An innovation graph approach to topology error identification[J]. Automation of Electric Power Systems, 2000, 24(4):23-27. Cited in this article [1]

[9]	LIU W H E, WU F F, LIU S M. Estimations of parameter errors form measurement residuals in state estimation[J]. IEEE Trans action on Power Systems, 1992, 7(1):81-89. Cited in this article [1]

[10]	LIU W H E, LIM S L. Parameter error identification and estimation in power system state estimation[J]. IEEE Transaction on Power Systems, 1995, 10(1):200-209. Cited in this article [1]

[11]

陈晓刚, 易永辉, 江全元, 等. 基于WAMS/SCADA混合量测的电网参数辨识与估计[J]. 电力系统自动化, 2008, 32(11):1-5.

CHEN

Xiaogang

, YI

Yonghui

, JIANG

Quanyuan

, et al. Network parameter identification and estimation based on hybrid measurement for WAMS/SCADA[J]. Automation of Electric Power Systems, 2008, 32(11):1-5.

Cited in this article [1]

[12]

李大路, 李蕊, 孙元章, 等. 计及广域测量信息的状态估计错误参数识别与修正[J]. 电力系统自动化, 2008, 32(14):1-15.

Dalu

, LI

Rui

, SUN

Yuanzhang

, et al. Recognizing and correcting the wrong parameters in state estimation considering the WAMS measurements[J]. Automation of Electric Power Systems, 2008, 32(14):1-15.

Cited in this article [1]

[13]	周苏荃, 徐艳, 张艳军. 电力网络支路参数估计新方法[J]. 电力系统及其自动化学报, 2009, 21(2):11-14. ZHOU Suquan, XU Yan, ZHANG Yanjun. New approach to linear parameter estimation of power grid[J]. Proceedings of the CSU-EPSA, 2009, 21(2):11-14. Cited in this article [1]

[14]	JUN Z, ALI A. Identification of network parameter Errors[J]. IEEE Trans on Power Systems, 2006, 21(2):586-592. Cited in this article [1]

[15]	颜伟, 宋林滔, 余娟. 基于权函数的电网参数分区辨识与估计方法[J]. 电力系统自动化, 2011, 35(5):25-30. YAN Wei, SONG Lintao, YU Juan, et al. A divisional identification and estimation method of network parameter errors based on weight function[J]. Automation of Electric Power Systems, 2011, 35(5):25-30. Cited in this article [1]

[16]	曾兵, 吴文传, 张伯明. 基于Karush-Kuhn-Tucker最优条件的电网可疑参数辨识与估计[J]. 电网技术, 2010, 34(1):56-61. ZENG Bing, WU Wenchuan, ZHANG Boming. A method to identify and estimate network parameter errors based on Karush-Kuhn-Tucker condition[J]. Power System Technology, 2010, 34(1):56-61. Cited in this article [1]

[17]	郝玉山, 米增强, 孟兴来, 等. 遥测数据中的坏数据机理及其处理[J]. 南方电网技术, 2012, 6(5):1-6. HAO Yushan, MI Zengqiang, MENG Xinglai, et al. Mechanism analysis of error in telemetry data and treatments[J]. Southern Power System Technology, 2012, 6(5):1-6. Cited in this article [1]

[18]	方兵, 黄良毅, 顾志东, 等. 基于全网架相量测量的抗差状态估计算法[J]. 南方电网技术, 2013, 7(3):104-108. FANG Bin, HUANG Liangyi, GU Zhidong, et al. A whole-grid phasor measurement based algorithm for robust state estimation[J]. Southern Power System Technology, 2013, 7(3):104-108. Cited in this article [1]