隨著世界各國正朝向「智慧電網」之發展趨勢邁進，智慧型變電所之重要性也逐漸提升。智慧型變電所於電網中擔任電力轉送、電力調度及設備監視與控制等關鍵角色，其運行狀態與電力系統操作穩定性和供電可靠性息息相關。隨著智慧型變電所投入大量的設備，傳統的故障維護(CM)與定期維護(TBM)已無法滿足系統需求，發展新型設備維護管理策略成為當務之急的議題。
本論文開發一套以狀態維護策略(CBM)為基礎之智慧型變電所監控系統狀態維護平台，透過IEC 61850通訊協議將各設備之電力訊號與狀態資訊回傳至後端維護管理系統，應用模糊綜合評價法(FCE)評估監控系統之核心設備，即為伺服器主機、SCADA軟體、交換器、智慧型電子裝置(IED)及合併單元(MU)，並導入相對劣化程度理論和模糊理論分析設備之即時健康狀態。此外，結合主觀的層級分析法與客觀的熵值賦權法建立綜合賦權法，分析各設備對於智慧型變電所之重要性程度。經三種模擬情境分析結果表明，本文所建置的智慧型變電所監控系統狀態維護管理平台能有效診斷設備之健康狀態，並可以藉由各自的狀態評分排定異常設備之維護檢修計畫。最後，將設備狀態評估結果呈現於SCADA平台，提供電力事業維護檢修人員及營運管理人員對智慧型變電所監控系統實施維護保養計畫之參採依據。

As the world is moving towards the 「Smart Grid」 development trends, the importance of intelligent substation is also increasing. Intelligent substation in the power grid services power transfer, power dispatch, equipment monitor and other great responsibility, its operating status has much to do with power system operation stability and power supply reliability. With a large amount of equipment had been invested in substation, traditional maintenance strategies such as corrective maintenance (CM) and time-base maintenance (TBM) can not meet system requirements, developing the novel equipment maintenance strategy becomes immediate issue.
In this research, a condition-based maintenance platform of intelligent substation SCADA system has been proposed, which is collecting equipments’ electrical signals and status through IEC 61850 protocol. Fuzzy comprehensive evaluation method (FCE) has been applied to evaluate the core equipment of SCADA system, such as server, SCADA software, switch, intelligent electronic device (IED) and merging unit (MU), the relative deterioration degree (RDD) and fuzzy theory (FT) are used to assess equipments’ real-time health status. In addition, the comprehensive weighting method which combines subjective analytic hierarchy process (AHP) with objective entropy weighting method has been used to analyze the importance of each equipment for intelligent substation. The results of three simulation scenarios show that condition-based maintenance platform can effectively diagnose equipments’ status and schedule the maintenance plans of abnormal equipments according to status scores. Finally, evaluation results of the equipment status are presented on SCADA, which provide valuable information for the maintenance personnel and the management department personnel of electric power industry to schedule maintenance planes.

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