A Novel Full Parameters Identification Method for Synchronous Machine Based on an Expanded Dalton-Cameron Transformation in Arbitrary Rotor Position
Ma Yiming1, Zhou Libing1, Wang Jin1, Zheng Yinzhao1, Xiao Yang2
1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 China; 2. The University and Sheffield Sheffield S1 3JD UK
Abstract:The measurement of transient parameters of large synchronous machines is generally carried out by a three-phase sudden short-circuit test, which is complicated and has certain dangers. Standstill test methods, such as static frequency response tests and signal input tests, can solve the above problem to some extent. However, such kind of tests must align the rotor with specific positions, which is difficult to implement for SMs of high capacity, and the positioning error also affects the accuracy. Aiming at the above problems, this paper proposed a novel full parameter test method based on signal input test for arbitrary rotor positions. A novel expanded Dalton-Cameron transformation was proposed and the corresponding test scheme was also given and analyzed, so that d and q axes parameters could be identified synchronously. NSGA3 algorithm was used for the curve fitting part. The test scheme and parameter identification method were verified by the test result of a dynamic simulation test prototype. The transformation and test method proposed in this paper are not only applicable to the tests using other forms of signals, but also provide reference for other standstill tests.
马一鸣, 周理兵, 王晋, 郑印钊, 肖洋. 基于频域扩展Dalton-Cameron变换的同步电机任意转子位置全参数辨识实验方法[J]. 电工技术学报, 2020, 35(6): 1208-1218.
Ma Yiming, Zhou Libing, Wang Jin, Zheng Yinzhao, Xiao Yang. A Novel Full Parameters Identification Method for Synchronous Machine Based on an Expanded Dalton-Cameron Transformation in Arbitrary Rotor Position. Transactions of China Electrotechnical Society, 2020, 35(6): 1208-1218.
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