頻率為電力系統中一項重要的指標，而頻差係數的設定為關係著自動發電控制系統是否能正確的動作使系統頻率回到公稱值。本文經由台電公司提供實際的頻差係數資料，比較人工設定頻差係數與自調性頻差係數的設定背景，輔以控制效能標準（CPS1）來評估兩種設定方法對系統頻率的響應。再者，透過建立類神經網路的方法，找出自調性頻差係數的設定策略，以期能更加提升台電系統CPS1之成績。

Frequency is an important indicator in the measurement of power system stability. The frequency bias setting directly affects the automatic generation control to correct frequency deviation to its nominal value.
In this work, historical frequency bias data from the Taiwan Power Company is retrieved to analyze the technical background and compare the CPS1 scores between manual and automatic frequency bias settings. Furthermore, a neural network is devised to explore strategies of bias settings for the better CPS1 performance on the Taipower system.

[1]Hadi Saadat, Power System Analysis, McGraw-Hill, 2002.
[2]陳躬耕， “自動發電控制功能的解析與操作”， 台電工程月刊，.第504期，第69-90頁，民國七十九年八月。
[3]M.-L. D. Ngo, R. L. King, and R. Luck, “Implications of Frequency Bias Settings on AGC,” Proceedings of the Twenty-Seventh Southeastern Symposium on System Theory, pp. 83-86, 1995.
[4]L.-R. Change-Chien, N. B. Hoonchareon, C. M. Ong, and B. A. Kramer, “Estimation of β for Adaptive Frequency Bias Setting in Load Frequency Control,”IEEE Transactions on Power Systems, Vol. 18, No. 2, pp.904-911, May 2003.
[5]台灣電力公司，台灣電力系統控制效能標準制定與AGC控制策略分析，民國一百年一月。
[6]NERC Resources Subcommittee, “Performance Standards Reference Document,” Ver. 3, Oct 2007.
[7]Stephen J. Chapman, Electric Machinery Fundamentals, McGraw-Hill, 2004.
[8]P. Kundur, Power System Stability and Control , McGraw-Hill, 1994.
[9]吳進忠，獨立電力系統合理備轉容量規劃與調度之研究，國立臺灣科技大學電機工程系博士論文，民國九十二年七月。
[10]林胤均，因應獨立型電力系統的即時偶發事故備載規劃，國立成功大學電機工程系碩士論文，民國九十五年六月。
[11]A. Martinez and A. Kak, “PCA versus LDA,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 2, pp. 228-233, 2001.
[12]K. Delac, M. Grgic, and S. Grgic, “Independent Comparative Study of PCA, ICA, and LDA on the FERET data set,” International Journal of Imaging Systems and Technology, Vol. 15, No. 5, pp. 252-260, 2005.
[13]羅華強，類神經網路-MATLAB的應用，清蔚科技，民國九十年。
[14]C. M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.
[15]E.K.P Chong and S.H.Zak, An Introduction to Optimization, Wiley, 2008.
[16]S. Chen, C. F. N. Cowan and P. M. Grant, “Orthogonal Least Squares Learning Algorithm for Radial Basis Function Networks,” IEEE Transactions on Neural Networks, Vol. 2, No. 2, pp. 302-309, March 1991.
[17]S. S. Yang and C. S. Tseng, “An Orthogonal Neural Network for Function Approximation,” IEEE Trans. on Systems, Man, and Cybernetics, Part B, Vol. 26, No. 5, pp. 779-785, Oct 1996.
[18]胡宗豪，自動發電控制之調頻策略與經濟成本分析，國立成功大學電機工程系碩士論文，民國一百年七月。
[19]廖偉廷，使用動態階級化演算法之高階類神經電流模型，國立中央大學電機工程系碩士論文，民國九十八年六月。