為評估電力系統特性以確保系統運轉可靠性和安全性，電力系統動態模擬是最常採用且最為實際的方法，然而模擬結果的準確與否卻高度取決於發電機組及相關設備模型參數之準確性。傳統上電力公司所使用的監測設備之精確度並不足以用來評估模型的準確性，然而新一代具有較好量測精確度以及時間同步功能的設備如同步相量量測單元（Phasor Measurement Unit ，簡稱PMU）的監視將提供線上模型驗證所需資訊。如此我們可以運用PMU設備，於系統運轉遭遇事故時擷取相關數據，並透過粒子群最佳化演算法執行發電機組參數驗證及識別工作，以做為日後系統動態模擬的依據。
本研究以台電公司數個發電機組運轉範例為基礎，闡述發電機組參數線上驗證與識別技術，並針對勵磁系統與電力系統穩定器模型參數作深入探討，期增進發電機組在線量測技術的實用性。

Power system dynamic simulation is the most common and practical method to evaluate system performance and to ensure system security. The simulation results are highly depending upon model accuracy of generator and its auxiliary facilities. Typical monitoring equipment available to most utilities are not satisfactory to the precision requirement for validating the generator model. Yet, the newly developed monitoring device that inherits features of high resolution and time synchronization, such as Phasor Measurement Units (PMUs), can now provide required information for online model validation. Once the system disturbance data is captured by the PMUs, the recorded data can be gainfully used to perform generator parameters validation as well as identification by particle swarm optimization algorithm.
This study elaborates parameter verification as well as identification techniques for generators, which are based on several operating cases of Taiwan Power Company. This thesis also gives deeply review on the characteristics of model parameters within the excitation system and power system stabilizer, in order to give practitioners a solid reference for practicing this online measurement technique.

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