水火協調系統之最佳動態經濟調度演算法

本文整合了「ε－限制技術」、「改良型免疫演算法」及「參數更新技術」，來分析水火協調系統動態經濟調度。本文所提出的演算法具有下列優點；1）考慮實際電力系統運轉操作情形的水火協調動態經濟調度、2）開發出具有效能的改良型免疫演算法僅需使用少量族群來求解可降低運算時間增加效率、和3）可自動調適目標函數的處罰參數以處理限制條件。經過例題測試比較，已驗證出本文的確具有上述的優點，而且本文的成果比過去的研究更接近真實系統的運轉操作狀況，應用在水火協調動態經濟調度問題上，不僅具有更優質的解答且完全滿足系統限制條件的要求，確實具有效能及實用價值。

This paper has developed an optimization of dynamic economic dispatch for hydrothermal power systems. This paper has integrated the ε-constraint technique, the improved immune algorithm (IIA), and the multiplier updating. This combination has the following merits: 1) applicable for the dynamic economic dispatch of hydrothermal power systems; 2) developing the IIA and using only a small population for reducing computational time; and 3) adaptive multiplier updating equipped to handle system constraints. This study has referred to previous papers for comparing the results. System simulations have demonstrated that the proposed approach has the advantages mentioned above for solving problems of dynamic economic dispatch for hydrothermal power systems.