穩定的電力品質一直是各國電力公司所追求的目標,除提升發電系統的效率外,如何在電力傳輸的環節上達到電力損失最小,並提供穩定的電壓來源亦是重要課題。近年來風力發電逐漸受到重視,但因其具有不確定之特性,併入電力系統時會產生嚴重的電壓變動問題。而虛功率與電壓的控制正是影響供電品質好壞的最大關鍵因素,若能有效控制虛功率及匯流排電壓,即可改善供電品質,進而降低系統輸電的成本。 本論文提出應用班德氏分解法及內部點法,在滿足所有運轉的限制式情況下,使輸電損失率最小化、變壓器分接頭和並聯電容器組最少操作次數。運用快速機率潮流法求得風力發電造成的電壓變動範圍,將發電機的端電壓、變壓器分接頭設定與並聯電容器組當作控制變數,調整電力系統之電壓大小。另外,本研究亦結合平行計算系統,縮短計算時間,提升求解效率。 本文透過分析模擬IEEE 14-Bus、IEEE 30-Bus、IEEE 57-Bus系統及澎湖電力系統,証實所提方法之可行性,且計算結果較平行基因演算法所得結果為佳。
Stable power quality is always the main goal that the power utility pursues. Besides the increasing of power generation efficiency, the most important topic is how to minimize MW loss and maintain the stable power quality in power system. Recently, wind power generation has been gradually paid attention. Because generation of wind generation is uncertainty, it will cause seriously voltage fluctuated in the power system. The control of reactive power and voltage indeed affects the power quality. Therefore effective reactive power and voltage control scheme can efficiently improve generation quality and reduce transmission cost. The proposed method based on Benders Decomposition (BD) and Interior Point Method are applied to minimize active power loss rate and minimize the necessary control operation frequency of the transformer tap changers and shunt capacitors under the operational constraints. Fast Probabilistic Power Flow (FPPF) method is used to solve voltage fluctuation resulting form wind farm. The generator voltages, transformer taps, and shunt capacitors are considered to regulate the voltage profile in the power system. In addition, the proposed method is also combined with parallel computing technique to speed up the calculation time and increase the efficiency of solving the problem. The applicability of proposed method is verified through simulation using IEEE 14-bus system, IEEE 30-bus system, IEEE 57-bus system and Penghu power system. The simulation result obtained by the proposed method is better than that obtained by parallel genetic algorithms.