GA Application to Optimization of AGC in Two-Area Power System Using Battery Energy Storage

This paper deals with load frequency control of an interconnected reheat thermal system considering battery energy storage (BES) system. Area control error (ACE) is used for the control of power system with battery energy storage system. The controllers design problem is formulated as an optimization problem. The genetic algorithm (GA) is used to search for optimal settings of controller gains. Time domain simulations are used to study the performance of the power system and BES system. Results reveal that BES meets requirements of real power load and very effective in reducing the peak deviations of frequency and tie-power and also reduces the steady state values of time error.