"環保意識的逐漸高漲與傳統石化能源的即將耗竭，促使電力系統有極高的興趣倂入 再生能源。在考量能源使用的多元化，台灣政府當局已經下令再生能源的研究與發展， 因此許多以再生能源為基礎之混合型發電系統已經受到廣泛的注意與應用，且進行大規 模的實際安裝與測試。近年來由於風力機組建置成本的快速下降，促使台灣在風況不錯 的地區興建風機可以達到既經濟又環保的效益。然而當孤立電力系統併入大量的風力能 源時，由於風力發電輸出的不確定性，將增加系統操作者的負擔，其中一項相當重要且 極具挑戰性的問題即是如何有效地管理多區域系統風能輸出發電量的變動性，另一項重 要議題則是如何評估獨立發電業者風機陣併入系統避免成本之計算等，因此風機併入電 力系統之關鍵議題將演變為風力發電之不確定性及高變動性是如何影響著每日之操作 策略與其對應之操作成本。 本研究計畫之目的擬提出「多區域風火力協調排程(Multi-area Wind-thermal Coordination Scheduling；簡稱MWCS)」的革新架構，期能一併解決各區域備轉容量分 配、區域間壅塞管理及風力發電不確定性的問題，同時提出一套最佳化的改良技術，「混 合基因演算法：結合基因演算法、切截型動態規劃法與支界法之混合演算法」，以有效 地解決孤立系統同時包含台電與民間業者擁有大量風力發電容量時之多區域發電量與 備轉容量排程的問題。各種不同的操作策略可用以瞭解規劃限制條件對系統發電機組排 程所造成的影響。藉由本計畫所開發的MWCS 軟體分析工具可用來探討風機併入電力 系統所引發的各種關鍵議題，協助系統規劃者用以瞭解風力發電變動對系統操作成本所 造成的影響，進一步作為風力發電系統績效衡量以及投資效益評估的基本分析工具。實 例模擬結果可提供孤立台電系統運轉與規劃的參考。"
"The rise of environmental protection and the progressive exhaustion of traditional fossil energy sources have increased the interests in integrating renewable energy sources into existing power systems. The government in Taiwan has commissioned research on renewable energy applications under the consideration of diversifying energy sources. Various renewable energy based hybrid power systems have received widespread attentions and applications, and are widely in stalled or undergoing testing in the whole world. Since the cost of wind turbine generators (WTGs) has been reduced rapidly, installation of WTGs as fuel savers is economically and environmentally attractive in windy regions. However, it is widely believed that large wind penetrations would put an increased burden on system operations due to the uncertain nature of wind power. One of the most important future challenges seems to be the management of the integration of fluctuations in the electricity production from wind energy sources. Another important issue regarding the integration of non-utility wind generation energy into a public utility is the evaluation of the appropriate avoided generation cost (AGC) due to purchase of Independent Power Procedures (IPP) energy by the utility. The key integration question then becomes how variations in wind plant outputs affect the operation of the isolated system on a day-to-day basis and what the associated costs are. The goal in this research is to develop a new model for generation scheduling to cover the unpredictable wind generator output variations in a multi-area power system. A novel algorithm based on a combination of genetic algorithm, truncated dynamic programming and branch & bound is developed to solve the multi-area wind-thermal coordination scheduling (MWCS) problem. Several operation strategies are considered to illustrate the effect of introducing different constraints into the generation scheduling problem. Several key issues of wind plant integration into electric power systems are investigated and discussed in this research by using the proposed MWCS software. The developed MWCS software is a useful tool for the system planner to understand the wind generator output variations in system operating cost analysis and to assess the impact and economic benefits of the installation of wind farms. Numerical experiments are included to provide valuable information for both operational and planning problems in an isolated power system, such as Taiwan power system."
energy management system
wind power generation
wind-thermal coordination scheduling
area spinning reserve
hybrid genetic algorithm
penalty function-direct search method