螢火蟲演算法於多種燃料供應選擇之最佳經濟調度

本文提出一種整合型最佳化演算法，可有效求解考慮多重燃料選擇之電力機組運轉問題。本文結合了「螢火蟲演算法」(FireflyAlgorithm, FA)及「參數更新技術」(Multiplierupdating, MU)。本文所提出的FA-MU 在求解考慮「多重燃料選擇」的最佳經濟調度問題上，具有下列優點： 1)可自動調適的處罰參數以處理限制條件、2)僅需使用少量族群來求解可降低運算時間。最後經與過去參考文獻的結果比較，驗證本文的成果應用於最佳經濟調度問題上，確實具有效能及

This paper presents a Firefly Algorithm with multiplier updating (FA-MU) for power economic dispatch of units having multiple fuel options. The proposed method integrates the FA and the MU that has merits of 1) automatically adjusting the randomly given penalty to a proper value, and 2) requiring only a small-size population for the economic dispatch problem with multiple fuel options. Numerical results indicate that the proposed algorithm is more suitable than previous approaches in the practical application. Moreover, the proposed algorithm provides an efficacious approach and conforms to system constraints for power economic dispatch with multiple fuel options.