本論文研究目標乃在於應用改良型帝國競爭演算法於電容器安置決策問題，並將不平衡負載及諧波因素納入考量，目前電力公司常依據經驗及規範標準，於饋線適當位置裝設電容器，惟電容器配置問題若融入負載變化、不平衡負載及諧波影響，將更顯繁複，確有必要加以審慎評估電容器安置成本及安置電容器後之系統整體效益。本文提出之帝國競爭演算法，係依據帝國競爭及諸侯歸順之特性，使諸侯朝帝王所在位置移動，因此可將帝王所在位置等效視為較佳解，進而可應用於求解最佳化問題，另為鞏強演算法之求解效能，本文並將外來蠻族入侵及帝國遷都程序予以融入演算法，進而應用至電容器安置決策之擬定。而為驗證所提方法之可行性，本文分別以標準匯流排系統及實際線路系統進行測試模擬，並與其他方法比較，由測試結果可知，本文所提方法確具電力實務應用價值。

In this thesis, an application of enhanced imperialist competitive algorithm is proposed to solve the capacitor placement in distribution systems with unbalanced loads and harmonics. Most power engineers currently made the capacitor placement decisions solely based on work experiences and technical standards; yet once under the scenarios of varying loads, unbalanced loads and harmonics, the placement of capacitor banks becomes more complicated and an approach to cope with this situation is crucially required. By characterizing the competition between imperialists and colonies in an optimization process, an imperialist competitive algorithm is proposed in this thesis. By utilizing the concept of colonies moving towards the locations of imperialists, an imperialist coming with a larger dominance is deemed a better solution to the problem encountered. Meanwhile, considering enhancing the optimization capability, the study adds the concept of barbarian invasion and capital movement in the algorithm development such that the quality of solution is enhanced. To confirm the effectiveness of this approach, the method has been tested through sample systems and practical systems with comparison to other published techniques. Test results validate this proposed approach for the power system application that is considered.

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