Abstract

This chapter proposes an improved higher order system frequency response (SFR) model to fine grained predict the frequency dynamic of hybrid power system with large-scale renewable power generation. The higher order SFR model expands the mechanical power gain factor into a first-order inertia link and extends the system damping to generator damping and excitation system damping. These higher order schemes combined with the parameter aggregation and tuning methods can accurately simulate the mechanical power gain factor and the damping effects in different parts of power system. As for the power system with high penetration of various renewable power generation, there proposes a higher order mixture proportion parameters SFR model based on the simplified thermal, hydraulic, and wind speed control system. Through the correction of the model parameters by the sequential quadratic programming method, this model can well satisfy the accuracy of the frequency dynamic prediction of the hybrid power system in terms of steady-state frequency value and frequency inertia overshoot value. Finally, the testing and analysis of several cases of applying different SFR models are helpful for readers to better understand the usage of the models and further discuss the validity and accuracy of each model.

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