台灣政府於100年11月開始實施新能源政策，以「能源安全、穩健減核、低碳環境、邁向無核家園」作為推動能源發展的主軸。政府亦確保在履行國際上的減碳承諾、不限制用電以及維持有效電價等3大原則下，積極實踐節能減碳與穩定供電於發電系統。因此，政府開始鼓勵民間私人企業發展自有的再生能源發電系統，更頒布補助措施鼓勵私人企業將電力回賣給政府。
　　本研究建構一兩階段分析模型，為一私人企業在考量再生能源間歇性、環境保護議題及建置成本的基礎上，評估較有利的方案並建構再生能源組合最佳化之發電系統。此分析模型包含一評估再生能源之容量因子的參數評估模型，再將此預測結果代入第二階段的多目標規劃，以利達到成本最小化、環境衝擊最小化以及發電量最大化的目標，進而提供決策者再生能源裝置容量之最佳配比。藉由第一階段所得到之結果，使得多目標規劃之三大目標可以在每月電力供給滿足需求的前提下滿足。
　　我們亦提供一台灣例子－國立清華大學說明我們所提出的能源組合最佳化模型。由於實際日照量是根據性能比來訂定，因此在太陽能的評估模型中得出其容量因子與日照量呈現高度正相關的結果。對於風能來說，其容量因子則是與風速三次方根成正比，因此在高風速時會快速的攀升。多目標規劃所得出的最佳能源組合中，由於不同的能源有其不同的碳排放係數，因此能源的外部成本在最後的目標值中佔了不少的比例。最後我們進行敏感度分析討論在不同碳稅之下其能源成本趨勢。

　　To achieve the goals of assuring nuclear security, steadily reducing nuclear dependence, creating a low-carbon energy environment and gradually establishing a nuclear-free homeland, an energy policy was implemented by the Taiwanese government in November 2011. In the meantime, the Government actively fulfilled the carbon reduction target and electricity stable supply policy under three major principles of international carbon reduction commitment without restricting electricity usage and with a valid electricity price. Consequently, the Government encourages private enterprises to generate electric power by renewable energy and sell back to the public enterprise.
　　This study proposes a two-stage analytical model to support private enterprises in evaluating the possible generation combination of renewable energy while considering the intermittence of renewable energy, environmental protection, generation cost, and given the monthly electricity demand. The model involves a parameter evaluation model developed to determine the capacity factor of renewable energies. A multi-objective model is also proposed to optimize the mixed generation of renewable energies, and minimize the carbon emission at a minimum cost. By substituting the result obtained from parameter evaluation models, the three goals can be achieved under the condition of balancing supply and demand for each month.
　　A case study of optimal mixed-generation of renewable energies was carried out at the National Tsing Hua University to illustrate and verify the proposed system. From parameter evaluation of solar energy, it can be observed that because the variation of capacity factor is attributed to performance ratio, the capacity factor and solar irradiance is highly correlated. As regard the wind energy, the capacity factor is proportional to the cube root mean of wind speed, so it will increase very fast respect to the high wind speed. The external cost of energy source remains a specific proportion of total cost in our optimal combination of energy sources, since each energy resource has a different carbon emission coefficient. At last, we perform sensitivity analysis to discuss the cost trend of energy sources under different carbon tax.

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