本論文應用最佳化負載轉移於微電網電力調度。首先，使用商用軟體Solar Pro建立太陽能發電系統模型，並模擬其發電量；風力發電則利用韋伯機率風速模型來計算其發電量。接著，利用Matlab®內建函數fmincon對用戶之負載進行最佳化負載轉移。用戶分別根據不同之時間電價及動態電價，改變用電習慣，達到抑平負載曲線的目標。最後，整合最佳化後之負載並加入儲能電池組，在滿足各項運轉限制與充分利用再生能源的情況下，應用粒子群演算法進行微電網之電力調度。模擬結果顯示，本文所提出之方法確實能降低運轉成本，可提供微電網系統即時控制與調度之參考。

This thesis applies optimal load shifting to microgrid power dispatch. First of all, a commercial software Solar Pro is used to create a solar PV system model and to simulate their power generation. The Weibull probability density distribution is used to create a wind speed model and calculate its power generation. Then, this paper uses the fmincon, the built-in function of Matlab® for optimal load shifting of users. Users change their electricity consumption habit according to different time-of-use and dynamic electricity pricing to achieve the goal of stabilizing load curve. After that, in the case of meeting various operational restrictions and making full use of renewable energy, the microgrid integrates the optimized load and joins the battery energy storage system, and applies the particle swarm optimization (PSO) algorithm to microgrid power dispatch. Simulation results show that the proposed method can reduce the cost and may provide a valuable reference for real-time control and dispatch of a microgrid system.

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