Abstract
This thesis proposes a frequency restoration scheme based on a real-time estimation on the magnitude of the system disturbance. The performance of the proposed strategy for frequency restoration is validated using the historical data from a utility. In this thesis, a low-order frequency response model is taken as a reference for system analysis. Results of the frequency response analysis show that if the magnitude of the system disturbance can be accurately estimated after the moment of incident risks, an unexpected load shedding may be able to avoid and a frequency restoration can be effectively performed under different reserve scenarios. The proposed frequency restoration scheme is designed using the demand response as the first shedding option to prevent shedding customer loads, and the cascading responsive reserves is used to raise the frequency back to the nominal value. The frequency restoration scheme is evaluated using the real data from historical frequency events. Simulation analyses show that the propose frequency restoration scheme can maintain system frequency above the security level at various contingency scenarios to enhance the system’s reliability.

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