中国电力 ›› 2020, Vol. 53 ›› Issue (2): 36-42.doi: 10.11930/j.issn.1004-9649.201811132

• 电网 • 上一篇    下一篇

基于状态估计及综合可疑度的参数辨识和修正方法

王顺江1, 孙乔2, 侯验秋3, 林济铿3   

  1. 1. 国网辽宁省电力有限公司, 辽宁 沈阳 110004;
    2. 国网辽宁省电力有限公司大连供电公司, 辽宁 大连 116000;
    3. 同济大学 电气工程系, 上海 201804
  • 收稿日期:2018-11-29 修回日期:2019-08-23 出版日期:2020-02-05 发布日期:2020-02-05
  • 作者简介:王顺江(1978-),男,高级工程师,从事电力系统及其自动化研究,E-mail:ppfdlgd@163.com;孙乔(1990-),女,助理工程师,从事电力系统自动化研究,E-mail:sunqiao666@126.com;侯验秋(1994-),男,硕士研究生,从事电力系统状态估计、电力市场和机组组合问题的研究,E-mail:yqhou1013@126.com;林济铿(1967-),男,教授,博士生导师,从事电力系统稳定性分析及控制、配网自动化、智能电网研究,E-mail:mejklin@126.com
  • 基金资助:
    国家自然科学基金资助项目(51177107);国家电网公司科技项目(基于寿命周期及灵敏度技术的电网静态模型参数修正技术研究)

The Identification and Correction Method of Grid Parameters Based on the State Estimation and Comprehensive Suspicious Index

WANG Shunjiang1, SUN Qiao2, HOU Yanqiu3, LIN Jikeng3   

  1. 1. State Grid Liaoning Electric Power Co.,Ltd., Shenyang 110004, China;
    2. State Grid Liaoning Electric Power Co., Ltd. Dalian Power Supply Company, Dalian 116000, China;
    3. Department of Electric Power, Tongji University, Shanghai 201804, China
  • Received:2018-11-29 Revised:2019-08-23 Online:2020-02-05 Published:2020-02-05
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.51177107),Science and Technology Project of SGCC(Research on Parameter Correction Technology of Static Model of Power Network Based on Life Cycle and Sensitivity Technology)

摘要: 针对电网参数错误会显著降低能量管理系统中各项高级应用软件的可靠性问题,提出了一种基于拉格朗日乘子法的参数辨识修正方法。首先,利用个别线路发生错误时会导致该参数对应的拉格朗日乘子和量测标准化残差出现局部偏大的现象,定义可疑参数判定函数和可疑量测判定函数;其次,基于所定义的两类判定函数构建线路参数综合可疑度指标,利用各参数综合可疑度指标的大小生成可疑线路参数集合;进而,针对所建立的可疑线路参数集合,提出变步长逐次修正的可疑参数修正方案;最后,采用IEEE-39节点系统验证了所提出的方法能够实现对错误参数的动态修正,既具有较高的修正精度,也不存在收敛性问题。

关键词: 电力系统, 状态估计, 拉格朗日乘子法, 可疑度函数, 变步长修正

Abstract: Errors lie in the grid parameters can reduce the reliability of advanced applications in the Energy Management System(EMS). Thus it is the basis for effective analysis and control on the grid to ensure the correctness of grid component parameters. For this purpose, this paper has proposed a parameter identification and correction scheme on the basis of Lagrangian multiplier method. Firstly, we have observed that local parameter errors can cause the Lagrangian multipliers and the measurement residuals to increase locally. And we define the suspicious measurement and parameter decision functions respectively. Furthermore, comprehensive suspicious index of each parameter is introduced based on the above two type of decision functions by which we can generate a so-called suspicious parameter set. Finally, for the suspicious parameters in the suspicious parameter set, a suspicious parameter modification scheme with varied step is proposed. The method can realize the dynamic correction of the parameter errors, and has high correction precision and no convergence problem.

Key words: power system, state estimation, Lagrangian multiplier, suspicious function, varied-step correction