查詢結果分析
來源資料
相關文獻
- Switch Reconfiguration of Electrical Distribution Systems Using Improved Genetic Algorithm
- Feeder Load Distribution Estimation and Its Effect on Switched Capacitor Scheduling
- Self-Tuning of Fault Detection Threshold for High Impedance Fault Detection
- 配電系統汽電共生廠保護協調設計實例
- 配電系統自動化之探討
- 應用乏晰動態規劃法於饋電線電容器組調度
- The Application of AM/FM System to Distribution System Service Restoration
- 地下配電系統
- 電壓閃爍介紹與改善
- 工業配電系統負載轉供電之自動控制
頁籤選單縮合
| 題 名 | Switch Reconfiguration of Electrical Distribution Systems Using Improved Genetic Algorithm=改良式遺傳演算法解配電系統開關重組問題 |
|---|---|
| 作 者 | 黃燕昌; | 書刊名 | 電腦學刊 |
| 卷 期 | 13:3 2001.09[民90.09] |
| 頁 次 | 頁47-54 |
| 分類號 | 448.3 |
| 關鍵詞 | 改良型遺傳演算法; 開關重組; 配電系統; Improved genetic algorithm; Switch reconfiguration; Distribution systems; |
| 語 文 | 英文(English) |
| 中文摘要 | 本文提出一改良型遺傳演算法解多目標配電系統開關重組問題。透過最大化模糊 滿足方法同時考慮開關重組之多重目標,包括最小化實功率損失、電壓與電流限制式之違反 量以及開關切換次數。同時,受限於維持輻射狀之系統架構與所有負載必須處於供電狀態。 經實際測試結果證明所提改良型遺傳演算法求解此一排列組合最佳化開關重組問題之可行性 。 |
| 英文摘要 | This study presents an improved genetic algorithm (IGA) based fuzzy multi-objective approach to solve the switch reconfiguration problem in an electrical distribution system. Maximizing the fuzzy satisfaction allows the operator to simultaneously consider the multiple objectives of a switch reconfiguration to minimize power loss, violation of voltage and current constraints, as well as switching number, while subject to radial network structure in which all loads must be energized. The optimization technique of the IGA is then adopted to solve the fuzzy multi-objective problem efficiently. Test results verify the feasibility of applying the proposed method to manipulate the combinatorial optimization switch reconfiguration of distribution systems. |
本系統中英文摘要資訊取自各篇刊載內容。