Surge arresters are important pieces of over-voltage protection equipment in substations. For a Metal Oxide Surge Arrester (MOA), there will be a leakage current through the arrester. Arrester status can be estimated with such a leakage current. Leakage currents and weather conditions are closely related. The first purpose of this project was to establish a remote Supervisory Control and Data Acquisition (SCADA) system which integrates weather and arrester leakage current data. The second purpose was to perform real-time monitoring of a critical connecting station. The third was to analyze the relationship between weather parameters and arrester leakage current. The fourth was to propose a rational maintenance procedure for the arrester of a connecting station. This project collected information to test and investigate different types of arrester maintenance conducted by the world's advanced countries, and Taipower's current arrester maintenance procedure (outage and non-outage) was compared with those from overseas to propose effective arrester testing methods, maintaining cycle for charged department. Furthermore, this project sought to compare the world's arrester monitoring methods to propose an on line monitoring system for Taipower. The proposed system is integrated with 3.5G wireless communication technique to develop a real-time monitoring system to detect various types of leakage current of the third order harmonic current, resistive leakage current, and total leakage current, lightning count, temperature and humidity and to automatically send back related data via a GPRS module. In addition, an artificial intelligent technique was applied to analyze the collected data, and an alarm signal was enabled to notify engineers when the collected data violate the limit. Finally, these proposed and developed systems were installed at connecting stations and extra high voltage substations for field testing. The results show that the practicality and effectiveness of the proposed system can be justified.
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