基于直流阶跃电压试验与NSGAⅡ算法的同步电机动态参数辨识方法

doi:10.19595/j.cnki.1000-6753.tces.181493

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Abstract Three-phase sudden short-circuit test is the most commonly used method for dynamic parameters identification of synchronous machine. However, when it comes to large-scale synchronous machine, since the transient current caused by sudden short-circuit test is large, it may cause irreversible damage to the machine, meanwhile, its test and protection system is very complicated. To deal with the above problems, this paper proposes a novel dynamic parameters identification method for synchronous machines based on DC step voltage test. First, the analytical expressions of dynamic parameters were deduced based on the DC step voltage test’s principle, and the relationship between parameters and current responses was also established. Then, aiming at the noise problem of measured current responses, an improved wavelet threshold denoising method is proposed to extract the real current response signal from the noisy signal. Finally, the non-dominated sorting genetic algorithms II (NSGAⅡ) was used to fit the current response signals in time domain to get the analytical expressions of the current responses, furthermore, the steady and dynamic parameters of the d and q axes were derived. The proposed parameters identification method was verified using the test results of a dynamic simulation test prototype of a 376MV·A synchronous machine. The DC step voltage test can realize the independent identification of the d and q axes parameters, it requires few test equipment and is easy to operate, safe and reliable.

Key words： Synchronous machine dynamic parameters identification analytical method DC step voltage test nondornihated sorting genetic algorithmsⅡ(NSGAⅡ)

Received: 09 September 2018 Published: 11 December 2019

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TM341

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	Ma Yiming
	Zhou Libing
	Wang Jin
	Zhou Jia
	Zheng Yinzhao

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Ma Yiming,Zhou Libing,Wang Jin等. A Method for Synchronous Machine Dynamic Parameters Identification Based on DC Step Voltage Test and NSGAⅡAlgorithm[J]. Transactions of China Electrotechnical Society, 2019, 34(23): 4890-4900.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.181493 OR https://dgjsxb.ces-transaction.com/EN/Y2019/V34/I23/4890

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