Feasible AGC controllers to optimize LFC regulation in deregulated power system using evolutionary hybrid genetic firefly algorithm

الملخص EN

This paper presents the application of feasible AGC controllers for load frequency control in Deregulated power system.

The conventional controllers for LFC are primarily integral controller ; one major advantage of integral controller is that it reduces the steady state error to zero, but do not perform well under varying operating conditions and exhibits poor dynamic performance.

The performance of feedback controller based on optimal control theory, PID controller and fractional order PID Controller based on fractional calculus is investigated on a multi area deregulated power system consisting of Thermal-Thermal unit in area-I, Hydro-Thermal unit in area-II and Thermal-Gas unit in area-III.

Using ITAE as performance criteria to be optimize, the controller parameters are optimized using Evolutionary Real coded Genetic algorithm and Firefly algorithm as a Hybrid Genetic-Firefly Algorithm (GA-FA).

The main goal of the optimization method is to improve the dynamics of LFC such as improving the transient response of frequency and tie-line power oscillations and to optimize the power generated by various GENCOs according to the bilateral contracts scheduled between GENCOs and DISCOs in an interconnected Multi-area Deregulated power system.