AGC of a realistic Power System in Coordination with Optimal design of Redox Flow Battery Using Multi Objectives Cost Function

This paper deals with automatic generation control modeling of a realistic multi area power system equipped with Redox Flow Batteries. In order to get an accurate insight, all of nonlinearity effects and physical constraints in load frequency studies such as generation rate constraint, governor dead band, time delay, boiler dynamics and reheat turbine dynamics of a thermal power system has been considered. Firefly optimization algorithm with multi objectives cost function based on ITSE criteria for both of controller input signal to minimize the area control error and output signal to reduce the size of actuator and economic aspects, settling time to have a faster response and afunction to increase the minimum damping ratio among all of eigenvalues, has been used to optimize the integral control gains of each area and proportional control gains of Redox Flow Batteries. Transfer function of nonlinearities such as governor dead band and time delay has been modeled to demonstrate the exact amount of minimum damping ratio rather than the nonlinear simple blocks. Simulation results confirms the superiority of the proposed scheme based on optimal storage devices under different step and sinusoidal load perturbations and uncertainty in dynamic parameters of power system.

AGC of a realistic Power System in Coordination with Optimal design of Redox Flow Battery Using Multi Objectives Cost Function Keywords:

AGC , redox flow battery , firefly algorithm , multi objectives cost function , GRC , GDB , time delay.