CLSA-MRPID controller for automatic generation control of a three-area hybrid system

Abstract

In the paper, an optimal controller is proposed for Automatic Generation Control (AGC) of three areas under deregulated power system. In the power system area, each area under the deregulated framework incorporated with the renewable energy sources like Wind Turbine (WT) and Photovoltaic (PV). The proposed optimal controller is the utilization of Combined Lightening Search Algorithm (CLSA) with wavelet based Multi Resolution Proportional-Integral-Derivative (MRPID) controller. The purpose of the proposed controller is to sustain the system frequency close to its nominal value, regulate system output and maintain power balance under load variations. Here, the LSA optimization process is utilized for optimally tuning the parameters of MRPID controller for each area. The attained LSA gain parameters are subject to the minimum Integral Square Error (ISE), which ensures that the system frequency deviation, Area Control Error (ACE) and tie-line power as minimum. The proposed controller is implemented in MATLAB/Simulink platform and analyzed their AGC responses, frequency deviation. Examinations reveal that the LSA enhanced MRPID controller performance is superior to anything others as far as settling time, peak overshoot and magnitude of oscillations in the system for various classes of extensive deregulated cases. Under these circumstances, the simulation results demonstrate that the designed power system model might be a feasible one and the proposed CLSA-MRPID algorithm might be a promising method. In the work, optimization algorithm based control technique is developed for evaluating AGC. Therefore, the convergence graph is analyzed for the proposed and existing methods.