161kV輸電網路故障定位雲端平台之研製

Abstract

本論文要介紹一個先進的161kV輸電網路故障定位雲端平台。其架構主要分成四個部分:雲端資料庫、雲端伺服器、資料輸入端、行動裝置端。雲端資料庫部份主要儲存161kV輸電線參數、鐵塔及人孔座標、事故紀錄、使用者資料等等。雲端伺服器部份，主要進行故障定位計算，其核心故障定位演算法經過台大電機電力實驗室團隊數年的研究與驗證，具有相當堅實的理論基礎。資料輸入端部份，主要供使用者輸入欲計算故障之變電所位置、上傳故障電壓電流波型、輸入電驛取樣頻率與推播故障事故資訊給第一線巡線維修人員等。行動裝置端主要接收資料輸入端推播來之故障訊息，並將其顯示在Google Maps上。 此平台主要有以下幾個特點:高精確性、視覺化、資料完全透過網路存取、使用者友善介面、行動裝置化等。此平台的效能評估是以台電161kV輸電網路為基礎，經過模擬與實際故障案例驗證，都展現了此平台對於輸電網路故障定位的可靠度與實現。

This thesis presents an advanced cloud platform for locating faults in 161kV transmission networks. This platform is composed by four parts: cloud database, cloud server, data input end, mobile device end. The cloud database store 161kV transmission line data, the coordinate of tower and manhole, the record of fault event, user data and so on. The server mainly compute the fault location and the core fault location algorithms behind this platform are based on solid theoretical foundations developed by NTUEE power Labs. The data input end provides the users to input the positions of the substation, upload the voltage and current waveforms, input the sampling rate of relay, push the fault location infos to the maintenance staff. The mobile end receives the fault location infos and displays them on Google Maps. This platform has several striking features: high accuracy, visualization with Google Maps, web access, user friendly interface, mobile displaying etc. The performance evaluation of this platform is conducted in Taipower 161kV transmission network. No matter simulated cases or realistic cases show the proposed platform is an enabling technology for transmission network fault location application.