負載頻率控制 (Load Frequency Control, LFC) 之操作原理為求取發電量和需求間之平衡。近年之研究中顯示，應用適應控制方法完成自動發電控制 (Automatic Generation Control, AGC)有其優越性，但自主性適應控制器必須即時取得系統參數，而相關文獻中卻對其取得之方式無明確之說明。故本論文針對單區域系統提出利用遞迴最小平方演算法 (Recursive Least Square Algorithm, RLS) 來估測系統參數。估測而得之參數，不僅可作為增益排程 (Gain Scheduling) 技術中表定增益值之參考模型，還可在時變的情況下，利用其參考模型輔助調整控制器之線上增益值。模擬結果顯示出以RLS演算法為基礎之估測方式應用於適應調整控制器可以提高LFC之性能。

Making balance between the generation and demand is the operating principle of the Load Frequency Control (LFC).
Several studies in LFC have led to the trend of implementing the adaptive approach on the Automatic Generation
Control (AGC). However, the adaptive controller with self-tuning technique requires online acquisition of system
parameters that was not clearly stated in the related literatures. This thesis proposes the online Recursive Least
Square (RLS) estimate on system’s parameters for an isolated power system. The estimated parameters not only
could be used as a reference model for deploying the nominal gains in gain scheduling technique, but also could
be applied to the online tuning of the controller gains under the time-varying condition.Simulation results show
that the RLS based estimate with an adaptive controller could enhance the performance of the LFC.

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