Abstract
Time difference of arrival method is commonly used in the location of partial discharges. In this method, the main problem are as follows: (1) time delay error is inevitable. (2) location algorithm is sensitive to time delay error. To solve the problems above, an ultra-high frequency localization method for transformer partial discharge based on time reversal and improved whale optimization algorithm is proposed in this article. The method is consisted of three parts, that including time delay extraction, time reversal imaging and optimal solution. Firstly, the time delay is extracted by energy accumulation method. And then the approximate position of partial discharge source is determined by time reversal imaging. Combined with the time reversal imaging, the strategy of initial population selection and weight setting in the whale optimization algorithm is improved. Finally, the improved whale optimization algorithm is used to solve the optimal solution. The results are demonstrated through simulation and experiment. Compared with other localization algorithms, it is shown that the improved whale optimization algorithm has a better control performance in stability and accuracy.
Highlights
Deterioration degree of power equipment’s insulation performance can be expressed by partial discharge [1]
Time difference of arrival algorithm is the basic method of UHF PD location [4]
In [16], BSS is applied to TDOA location method
Summary
Deterioration degree of power equipment’s insulation performance can be expressed by partial discharge [1]. Many methods of time delay extraction have been proposed, such as initial peak method [6], cross-correlation function method [7] and energy accumulation method [8]. In [16], BSS is applied to TDOA location method It improves the accuracy of time delay extraction, and reduces the number of iterations of the positioning algorithm. Motivated by the above discussion, this article has considered the application of TR imaging method to PD localization It is combined with IWOA (the improved whale optimization algorithm, IWOA) to further improve the accuracy of TDOA positioning algorithm. The TR imaging is compared with the time delay extraction method, such as initial peak value method, cross correlation method and accumulated energy method. The results have verified the feasibility and accuracy of TR_IWOA
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