Identification of control parameters of the permanent magnetic synchronous generator using least square method

被引:6
作者
Yin, Hongxu [1 ]
Wei, Yanfei [1 ]
Zhang, Yingjie [1 ]
Jing, Panpan [1 ]
Cai, Deyu [2 ]
Liu, Xumin [2 ]
机构
[1] State Grid Shandong Elect Power Co, Dezhou Power Supply Co, 1237 Xinhu Rd, Zhou 253000, Shandong, Peoples R China
[2] Shandong Univ, 17923 Jingshi Rd, Jinan 250061, Shandong, Peoples R China
关键词
DPMSG; Parameter identification; Least square method;
D O I
10.1016/j.egyr.2022.02.034
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents a new methodology for the identification of the control parameters of converters of Direct-drive Permanent Magnetic Synchronous Generator (DPMSG) using least square method. Firstly, the novel methodology for the control parameter identification was thoroughly introduced; after that, a complete model of DPMSG was built in DIgSILENT PowerFactory platform for generating testing signals; finally, the algorithm was tested through signals obtained using dynamic simulations of the complete model of DPMSG. The accurate estimation was obtained by this methodology, i.e. the maximum error of the identification results was less than 3.1%. This method was able to accurately identified the converter control parameters of DPMSG without setting initial values for the identification program. (C) 2022 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:1538 / 1545
页数:8
相关论文
共 50 条
  • [31] On-line Synchronous Generator's Parameters Identification with Dyanmic PMU data
    Zhang, Junli
    Xue, Ancheng
    Bi, Tianshu
    Wang, Zhengfeng
    Tang, Wei
    2012 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2012,
  • [32] Identification of Induction Machine parameters including Core Loss Resistance using Recursive Least Mean Square Algorithm
    Siddavatam, Ravi Prakash Reddy
    Loganathan, Umanand
    45TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2019), 2019, : 1095 - 1100
  • [33] Experience with Synchronous Generator Parameter Identification using a Kalman Filter
    Lin, Kang
    Kyriakides, Elias
    Heydt, Gerald T.
    Logic, Naim
    Singh, Bharat
    IEEE POWER AND ENERGY SOCIETY GENERAL MEETING 2010, 2010,
  • [34] Least Square Method for Porous Fin in the Presence of Uniform Magnetic Field
    Hoshyar, H. A.
    Ganji, D. D.
    Majidian, A. R.
    JOURNAL OF APPLIED FLUID MECHANICS, 2016, 9 (02) : 661 - 668
  • [35] Simultaneous Identification and Adaptive Torque Control of Permanent Magnet Synchronous Machines
    Reed, David M.
    Sun, Jing
    Hofmann, Heath F.
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2017, 25 (04) : 1372 - 1383
  • [36] Estimation of Active Magnetic Bearing Parameters Using Sinusoidal Excitations and the Least Squares Method
    Song, Miseon
    Noh, Myounggyu
    TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A, 2024, 48 (05) : 345 - 351
  • [37] Distributed Parameter Identification Framework Based on Intelligent Algorithms for Permanent Magnet Synchronous Wind Generator
    Wu, Xiaoxuan
    Tian, De
    Meng, Huiwen
    Su, Yi
    ENERGIES, 2025, 18 (03)
  • [38] Experience with SSFR test for synchronous generator model identification using Hook-Jeeves optimization method
    Pourgholi, Mahdi
    Aghamohammadi, M. R.
    Majd, V. J.
    NEW ADVANCES IN SIMULATION, MODELLING AND OPTIMIZATION (SMO '07), 2007, : 489 - +
  • [39] Dynamic surface method-based adaptive backstepping control for the permanent magnet synchronous motor on parameter identification
    Wang, Xuejian
    Chen, Yong
    Lu, Youliang
    Li, Xu
    He, Wen
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2019, 233 (09) : 1172 - 1181
  • [40] Selection of the parameters for the optimal control strategy for permanent-magnet synchronous motor
    Sobieraj, Tomasz
    PRZEGLAD ELEKTROTECHNICZNY, 2018, 94 (03): : 91 - 94