Metaheuristic Control Strategies Applied to Voltage Control

This paper involves the application of three metaheuristic control strategies, namely, the Ant Colony Optimization, Imperialist Competitive Algorithm and the Firefly Algorithm to voltage control. The Automatic Voltage Regulator considered different combinations of exciter and generator models. The exciter models used are the linearized exciter model and the IEEE Type DC۱A Exciter model and the generator models consist of first order and fourth order synchronous generators. Proportional-Integral-Derivative (PID) controllers are implemented on MATLAB/Simulink ۲۰۱۵a and tuned using parameters obtained from the metaheuristic algorithms. The areas requiring considerable enhancement for the uncompensated system response included the peak overshoot, the settling time and the steady state error. A comparative analysis of the different tuned responses showed that all the proposed algorithms provided major improvements in terms of system response with the Firefly Algorithm showing the best overall performance.

Keywords:

Automatic Voltage Regulator , Ant Colony Optimization , Imperialist Competitive Algorithm , Firefly Algorithm , DC۱A , PID Introduction (Heading ۱)