隨著能源結構的改變，以及環保意識的提升，各國逐漸轉而發展不同類型再生能源，以取代傳統發電方式如：火力發電、核能發電等。由於大量分散式電源併聯配電網系統，改變過往配電系統的單向輸電方式，造成系統在故障發生時，提供多源頭之故障電流，使電網保護電驛判斷失誤，以及饋線線路損失變化等影響。
本論文針對高佔比分散式電源之配電系統，因應電網饋線損失變化，考量不同類型最佳化演算法，在IEEE 33標準測試系統與實際台灣電網系統進行饋線重組運算，於多種情境下驗證L-SHADE與PSO最佳化演算法的適合度，並提供分散式電源建議建置位置。考慮不同類型之負載需求量與分散式發電量變動下，擬定一日開關操作排程策略，並且考量開關操作切換次數，提出饋線自動化之建議，以達到有效減少饋線功率損失，改善區域電網之彈性配置。

Along with the configuration change of energy, and the rise of environmental protection awareness, each country gradually changes to develop different types of renewable energy. the government intends to replace the traditional way of power generation such as thermal power generation, nuclear energy generation. Abundant distributed energy connected to a distributed power system changes the single way of power delivery in a distributed power system. It’s easy to cause protection equipment misjudgment, fault current dual delivery variation, and feeder power loss impact.
This thesis focuses on feeder power loss variation after the high penetration of distributed energy connected to the power grid. The simulation combined with the different types of optimization algorithms, and simulated feeder reconfiguration in the IEEE 33 test system as well as the Taiwan power system. The simulation iteratively verifies the fitness of optimization algorithms and recommends distributed energy locations in different situations. This thesis analyzes feeder switches operation in different load demand and the variation of distributed power generation, then consider the number of manual feeder switches. This thesis proposes the feeder automation recommendation to achieve effective feeder power loss reduction and the resilient configuration of regional power grids improvement.

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