Complex Harmonic Parameters Estimation Using Incomplete S Transform
Yi Jiliang1, Zhou Man1, Li Zhongqi1, Li Junjun1, He Like2
1. College of Traffic Engineering Hunan University of Technology Zhuzhou 412007 China; 2. College of Electrical and Information Engineering Hunan Industry Polytechnic Changsha 410208 China
Abstract：Emerging power supply such as micro grid generates the intermittent non-stationary complex harmonic which brings adverse effects on electrical equipment. A novel technique for complex harmonic parameters estimation is proposed using incomplete S transform (IST) by means of the compute mode of non-ergodic spectrum and non-fixed window width coefficient. Firstly, the optimal window width coefficient of each concern frequency point is determined based on the principle of amplitude directly measuring. Secondly, IST vector of each concern frequency point is calculated using overlapping compute mode, so as to eliminate its end effect. The harmonic instantaneous frequency and phase estimation formulas are obtained use the principle phase coherence between IST vector and original signal. Finally, the effectiveness of the proposed method is validated by simulation and experiment, and the results show that the maximum relative error of estimated parameters is about 1% with the proposed method under the worst spectrum leakage, and it can track the change of complex harmonic parameters in real time.
易吉良, 周曼, 李中启, 李军军, 贺力克. 采用不完全S变换的复杂谐波参数估计[J]. 电工技术学报, 2018, 33(zk1): 112-124.
Yi Jiliang, Zhou Man, Li Zhongqi, Li Junjun, He Like. Complex Harmonic Parameters Estimation Using Incomplete S Transform. Transactions of China Electrotechnical Society, 2018, 33(zk1): 112-124.
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