Jorge Cortés

Professor

Cymer Corporation Endowed Chair





Online event-triggered switching for frequency control in power grids with variable inertia
J. Feng, W. Cui, J. Cortés, Y. Shi
IEEE Transactions on Power Systems, submitted


Abstract

The increasing integration of renewable energy resources into power grids has led to time-varying system inertia and consequent degradation in frequency dynamics. A promising solution to alleviate performance degradation is through the use of power electronics interfaced energy resources such as renewable generators and battery energy storage for primary frequency control, by adjusting their power output set-points in response to frequency deviations. However, designing a frequency controller under time-varying inertia is still challenging. In this paper, we model the frequency dynamics under time-varying inertia as a nonlinear switching system, where the frequency dynamics under each mode are described by the nonlinear swing equations and different modes represent different inertia levels. We identify a key controller structure, named Neural Proportional-Integral (Neural-PI) controller, that guarantees exponential input-to-state stability for each mode. To further improve the controller performance, we present an online event-triggered switching algorithm to dynamically select the most suitable controller from a set of Neural-PI controllers, where each controller in the candidate pool is optimized for a specific inertia level. Simulation results obtained from the IEEE 39-bus system validate the effectiveness of the proposed online switching control method with stability guarantees and optimized performance for frequency control under time-varying inertia.

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Mechanical and Aerospace Engineering, University of California, San Diego
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