• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2015, Vol. 36 ›› Issue (8): 130-134.doi: 10.3969/j.issn.1000-7229.2015.08.021

Previous Articles     Next Articles

Load Rejection Test-Based Synchronous Machine Parameters Identification Method Considering Excitation Voltage Variation

ZHOU Haiqiang 1, QIAN Liming 1, WU Shuijun 2, CHEN Jing 2, YANG Yang 2, WAN Xiongbiao 2   

  1. 1. Energy and Electrical Engineering School, Hohai University, Nanjing 211100, China; 2. Yunnan Electric Power Test Institute Company, Kunming 650051, China
  • Online:2015-08-01

Abstract:

 In load rejection test-based parameters identification of synchronous machine, the excitation voltage was conventionally assumed to keep constant during the test. But considering the regulation effects of the excitation control systems, it was hard to be satisfied. Therefore, an improved load rejection test-based parameters identification method for synchronous machine was proposed with considering the variation of excitation voltage. The measured excitation voltage was taken as input excitation to the field winding. The differential algebraic equations of the field and damper windings were solved. The field winding current was obtained and compared with the measured curve. Taking the minimum error as optimization objective and the classical parameters of synchronous generators as initial values, ant colony optimization was utilized to identify the parameters of d axis. Then the stator voltage in q axis was calculated through the stator flux in d axis. According to the measured stator voltage, the stator voltage in d axis was derived and used to identify the parameters of q axis. The parameters identification results of a generator in a hydraulic power plant in Yunnan power grid validated the effectiveness of the improved method. Compared with the existed method, the improved method has better accuracy and fewer restrictions about test conditions, which has a good prospect of engineering application.

Key words: synchronous generator, load reject test, parameter identification, ant colony optimization

CLC Number: