Affiliation:
1. North China Electric Power University
2. China Electric Power Research Institute
Abstract
Metal oxide surge arresters (MOA) is a power system overvoltage protection device, and the online monitoring of the MOA is an important means to ensure the safe operation of the power system. This paper presents a new MOA insulation defects monitoring method. This method is based on the relative change in capacitance to MOA insulation defects as characteristic parameter, the aging classified as a kind of local defects, the system disturbance contains higher harmonic of transient voltage and current as the signal source, dynamically generated MOA partial insulation discriminant function of the defects in the diagnosis. The maximum value of the discriminant function corresponds to the local insulation defects. The proposed method contributes to the MOA monitoring methods and the development of technology.
Publisher
Trans Tech Publications, Ltd.
Reference8 articles.
1. Zhuo Yang, Xianping Zhao, Xiangyu Tan, Ke Wang, Applied research of generalized morphological filter for MOA in processing on-line monitoring data, [J]. Power Engineering and Automation Conference, IEEE, 2011, vol. 2, pp.393-397.
2. Hanxin Zhu, M.R. Raghuveer. Influence of Representation Model and Voltage Harmonics on Metal oxide Sugre Arrester Diagnosties, J. IEEE Transactions on Power Delivery, 2001, 16(4): pp.599-603.
3. Xinglian Yan, Yuan fang Wen, Xiaoyu Yi, Study on the Resistive Lekagae Current Characteristic of MOV Sugre Arresters, J. IEEE,2002, 4(2): pp.683-687.
4. Yunge Li, Wei Shi and Xiaomin Niu, A Composite Exponential and Linear MOA Model for Switch Transient Simulation, J. IEEE Transactions on Power Delivery, 2002, 17(3): pp.730-735.
5. Jinliang He,Rong Zeng,Shuiming Chen, Thermal Characteristics of High Voltage Whole- Solid- Insulated Polymeric ZnO Surge Aerrster, J. IEEE Transactions on Power Delivery, 2003, 18(4): pp.1221-1227.