台灣目前的負載頻率控制是以自動發電控制 (AGC) 來追隨連續性的負載變動以調節頻率。由於負載的持續變動及機組出力的不確定性，使頻率響應的變動特性相當複雜且不易直接量測。傳統獨立系統二次控制的原理是，利用其偏頻係數 (B)來代理系統的頻率響應特性值 (β) ，計算系統的控制誤差量，以做為二次控制補償的參考，但當B無法真實反應β時，將可能使發電響應不符合調節需求或導致發電機組出力及傳輸線的電力潮流產生不必要的震盪現象。本論文提出以類神經網路系統控制誤差演算法 (ANN-SCE algorithm) 估測頻率響應特性值，若以此估測值做為二次控制補償的參考，將有助於增進AGC在電力調節功能上的效能。此外，在日後電力自由化的環境下，更多的民營發電業者 (IPP) 可參與負載追隨及頻率調節的輔助服務，獨立發電業發電設備的反應特性如何影響負載頻率控制的效能是系統調度員有興趣了解的課題。本論文利用 ANN-SCE 演算法配合先前估測出之 β評估獨立發電業的發電機組對於電力公司發電控制的影響，並於系統模擬做相互驗證，其結果將有助於電力調度中心提升負載頻率控制的效能。

　The load-frequency control in Taiwan still operates with automatic generation control (AGC) to track the continuously varying loads. Due to the sustained variation of loads and the uncertainties in unit movements, the characteristic of system’s frequency response is quite complicated and cannot be directly measured. The conventional operating principle in the secondary control of independent system is to adopt the frequency bias coefficient, B , as a proxy for the frequency response characteristic, β , to calculate the system control error and use it as a reference for control compensation. However, while B is not close to β, system control error might not lead to the required generation response for regulation and cause unnecessary oscillation in unit movements and power flow in the transmission grid. This thesis proposes an artificial neural network based system control error algorithm (ANN-SCE algorithm) to evaluate the frequency response characteristic. The estimated value can be gainfully used for secondary control to improve the AGC performance. Likewise, with more independent power producers (IPPs) joining the load following and frequency regulation services, how to assess IPPs’ unit control performance on system’s load frequency control is the interesting subject that system operators would like to explore. This thesis utilizes estimated β to evaluate the influence of the IPP units on the generation control. The simulation results verify that the assessment is beneficial for dispatch center to enhance load frequency control performance.

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