Electric Power ›› 2020, Vol. 53 ›› Issue (2): 36-42.DOI: 10.11930/j.issn.1004-9649.201811132

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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)

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