Title: Load parameter identification method of power system with time delay based on Kalman filter

Authors: Shuangling Wang; Shudong He

Addresses: Smart Manufacturing College, Zhengzhou University of Economics and Business, Zhengzhou, 451191, China ' Intelligent Manufacturing and Mechanical Engineering, Hunan Institute of Technology, Hengyang, 421002, China

Abstract: Aiming at the problems of low accuracy and large identification error of existing load parameter identification methods, a load parameter identification method of power system with time delay based on Kalman filter is proposed. Firstly, according to the relationship between the time-delay link and the voltage variation in the system, the operation characteristics of the time-delay power system are analysed. Secondly, power function and motor equivalent circuit method are used to characterise different property parameters, and the property analysis of load parameters of power system with time delay is completed. Finally, the load parameter state prediction equation is constructed, and the Kalman gain value of the load parameter is calculated. The parameter identification model of Kalman filter is constructed to complete the power system load parameter identification. The experimental results show that the proposed method can reduce the error of load parameter identification, and the minimum error is only 0.11%.

Keywords: Kalman filter; time delay power system; load parameter identification; power function; equivalent circuit; excitation control.

DOI: 10.1504/IJETP.2023.134162

International Journal of Energy Technology and Policy, 2023 Vol.18 No.3/4/5, pp.208 - 219

Received: 28 Apr 2023
Accepted: 03 Jul 2023
Published online: 12 Oct 2023 *

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