A review of advanced acoustic‐chemical‐optical partial discharge monitoring techniques for ultra‐high‐voltage gas‐insulated equipment
Xianhao Fan, Weiqi Qin, Rui Qiu, Yiming Zang, Ranran Ding, Yin Zhang, Ruiying Chen, Fangwei Liang, Guangyu Sun, Hanhua Luo, Tiejun Ma, Chuanyang Li, Jun Hu, Weidong Liu, Giovanni Mazzanti, Jinliang He
Abstract
Abstract Partial discharge (PD) detection is considered one of the most crucial and effective methods for identifying defects in electrical equipment. Consequently, investigating advanced and efficient PD monitoring techniques is essential for the development of gas‐insulated equipment (GIE) and the construction of ultra‐high‐voltage (UHV) networks. This paper first explores the causes and impact characteristics of various defects in GIE based on experimental results and simulation analysis. It then reviews current research on advanced PD measurement techniques, integrating acoustic, chemical and optical methods. The findings preliminarily demonstrate the unique advantages and applicability of the advanced methods for complex detection environments. Finally, this paper addresses the technical challenges and potential breakthroughs associated with these detection techniques. In this regard, this study aims to provide technical insights and research directions for defect detection techniques in UHV GIE.