本論文提出雷電路徑搜索演算法應用於配電變壓器巡檢及吊檢維護排程規劃，研究主旨在於解決現行配電變壓器維護策略所面臨之挑戰，以提升配電變壓器維護效能，達到節省維護成本同時提升供電可靠度之成果。本文將配電變壓器維護成本、系統平均停電次數、系統平均停電時間以及絕緣壽命損失程度，統整考量建立數學模型，並考量鹽害及配電變壓器運轉狀況，然後輔以雷電路徑搜索演算法擬定配電變壓器維護排程策略，其中雷電路徑搜索演算法乃依據自然界之雷電搜索最佳閃絡路徑相關機制加以推導建模而成，有助於求解最佳化問題。而為驗證本文所提方法之可行性，本文利用包含不同個數配電變壓器之配電系統進行模擬測試，並與現行規劃策略及其他方法比較，經由測試結果可知，本文所提方法於配電變壓器維護排程規劃之應用，確已展現電力實務之高度應用潛力。

This thesis applies the lightning search algorithm to inspection and overhaul maintenance scheduling of distribution transformers, aiming at the improvement of transformer maintenance efficiency while cost reduction and high reliability of supplying-power are both concerned. By considering maintenance costs, system average interruption duration, system average interruption frequency, and insulation life loss percentage of transformer, the study first formulates mathematical models based on these objective functions, where salt corrosion and operation condition are also taken into considerations. This is followed by the application of lightning search algorithm in anticipation of reaching the maintenance scheduling decisions for distribution transformers. The algorithm applied in this study is developed based on mimicking the search of arcing path during the occurrence of lightning, by which it provides an optimization method for solving problems in a more effective manner. In order to verify the feasibility of this proposed method, the thesis applies this approach on a distribution system consisting of different numbers of distribution transformer. Test results of using the proposed methods are further compared with those of using existent strategies. Comparison outcomes support the proposed method for the distribution transformer maintenance scheduling study, exhibiting a high potential for practical power system applications.

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