A New Robust Load Frequency Controller for Electric Vehicle Aggregators ‎

Abstract

This paper proposes a robust state feedback controller for Electric Vehicle aggregators to solve the challenging problem caused by the participation of Electric Vehicles in the load frequency control of the power system. The Lyapunov-Krasovskii functional method is used to achieve two objectives of the robust performance and stability. Then, by using teaching learning based optimization algorithm, both primary and secondary participation gains of EV aggregators in LFC are optimally determined. The Generation Rate Constraint and time delay, as nonlinear elements, are also taken into account. Simulations are carried out on two nonlinear power systems by using the power system simulation software. The results show that the designed controller gives a desirable robust performance for frequency regulation at the presence of uncertainties.

Keywords

• electric vehicle aggregator
• frequency control
• linear matrix inequality
• teaching learning based ‎optimization