本論文旨在提出考量二氧化碳排放效應之最佳發電調度規劃。首先，建立火力機組於不同類型燃料下之二氧化碳排放當量模型。其次，引進二項指標，即發電成本對二氧化碳排放當量抵換曲線(Tradeoff curve)及二氧化碳減量之增量發電成本曲線(Incremental Cost for CO2 Reduction curve, ICCR curve)，以評估二氧化碳排放對於發電成本之影響程度。結合前述指標，本文進而提出單目標及雙目標規劃方法，建構基於碳排放影響下之電力調度規劃策略。此規劃策略之特點在於使得決策者能夠兼顧環保與經濟的因素。基於發電調度問題屬於大型非線性規劃問題，本文運用粒子群演算法搭配新型的編碼方式，能夠快速求得高機率之最佳電力調度規劃解。最後，以台電公司的27部機組系統為例，進行模擬測試。研究結果顯示本論文所提出的方法在離峰、半尖峰、尖峰情形下，其調度結果確實能夠有效地考量二氧化碳排放減量對發電成本的影響，達到兼顧環保與經濟之目的。

In this thesis, the optimal power dispatch planning considering the emission of carbon dioxide (CO2) is presented. First, different CO2 equivalent models for fossil fuel generating units are derived. Secondly, two index, the Cost-CO2 emission Tradeoff Curve (CCTC) and Incremental Cost for CO2 Reduction (ICCR) curve, are introduced to assess the impact of the carbon dioxide emission on the generation cost. Incorporating with the aforementioned index, the single-objective and bi-objective programming methods are employed to establish the power dispatching strategy. The salient feature of the dispatching strategy lies that the decision-maker can consider the environmental and economic factors at the same time. Since the power dispatching belongs to large-scale non-linear planning problem, this study employs a particle swarm approach with novel coding scheme for power dispatch solution, which can fast find an optimal solution with higher probability. Finally, taking the 27-unit system of the Tai-power as an example, simulation result of the study reveals that the proposed dispatching strategy can indeed consider the carbon dioxide reduction impact on cost in off-peak, half-peak and peak load conditions to achieve environmental protection and economic purpose.

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