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題名 | Personal Best Oriented Particle Swarm Optimizer for Economic Dispatch of Units with Nonconvex Cost Functions=精英粒子群優法在具有非凸集成本函數經濟調度問題上之應用 |
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作者 | 陳長煌; | 書刊名 | 東南學報 |
卷期 | 36 2011.07[民100.07] |
頁次 | 頁55-64 |
分類號 | 448 |
關鍵詞 | 經濟調度; 粒子群優法; 閥點效應; 精英粒子群優法; Economic dispatch; Particle swarm optimization; Valve-point effects; |
語文 | 英文(English) |
中文摘要 | 本文提出以精英粒子群優法 (Personal best oriented particle swarm optimization --PPSO) 以解具有閥點效應 (Valve-point effect) 及使用多重燃料 (multiple fuels) 之經濟調度問題,精英粒子群優法是粒子群優法的一種變型,可用來解無限制條件之最佳化問題,因為經濟調度問題屬於有條件限制之最小化問題,因此,本文設計一個修補策略 (Repairing scheme) 以保證所有的解都位於可行解 (feasible solution) 空間內。為證明本文所提出方法之可行性與有效性,分別以一個具有10機組及13機組之系統加以測試,由數值結果顯示,本文所提出的方法確實可以獲得比其他方法更好的結果。 |
英文摘要 | This paper presents the application of personal best oriented particle swarm optimizer (PPSO) to solve economic dispatch (ED) problems accounting for valve-points effects and multiple fuels. PPSO is a variant of particle swarm optimizer (PSO) for unconstrained function optimization. Since ED problems are constrained minimization problems, a simple repairing scheme is also adopted to handling violation of power balance constraint during the searching process, which guarantees the solution is feasible. Two power systems having 10 and 13 committed units are used to demonstrate the feasibility and effectiveness of the proposed methods. Numerical results show that the proposed method performs well in comparison with other methods. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。