Analysis and Calculation Method of On-Load Tap Changers State Characteristics Based on Chaos Theory and Grasshopper Optimization Algorithm-K-means Algorithm
Ma Hongzhong, Yan Yan
College of Energy and Electrical Engineering Hohai University Nanjing 211100 China
Abstract To monitor the mechanical state of on-load tap changer (OLTC) more accurately and effectively, considering the situation that the clustering effect of traditional monitoring methods based on K-means are affected by the selection of their initial clustering centers, this paper proposed an OLTC mechanical state monitoring method based on the combination of grasshopper optimization algorithm (GOA) and K-means. Firstly, on account of the nonlinear and chaotic characteristics of OLTC vibration signals, the embedding dimension and delay time are calculated by the P-G method and mutual information value method, and the phase space of the measured OLTC vibration signals was reconstructed. Secondly, Kolmogorov entropy was applied to judge the chaotic characteristics of the reconstructed vibration signals. Finally, to improve the clustering accuracy, according to the sensitivity of K-means to the initial clustering center, GOA was introduced into the algorithm to optimize its clustering center, and the reconstructed high-dimensional vibration signals were analyzed by an optimized K-means clustering method. The results showed that in the application of OLTC vibration signal identification, the calculation results obtained by the optimized K-means clustering algorithm have certain regularity, which provides a new way for OLTC machines running state monitoring.
Ma Hongzhong,Yan Yan. Analysis and Calculation Method of On-Load Tap Changers State Characteristics Based on Chaos Theory and Grasshopper Optimization Algorithm-K-means Algorithm[J]. Transactions of China Electrotechnical Society, 2021, 36(7): 1399-1406.
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2021, Vol. 36 
