Comparable investigation of backtracking search algorithm in automatic generation control for two area reheat interconnected thermal power system

Display Omitted Comparison of BSA and FFA for their performance in tuning AGC controller.Tuning of controllers with new objective functions from ACE signals of model.Sensitivity analysis of tuned controller for change in system parameter is computed.Statistical comparison of responses for AGC controllers tuned by BSA, FFA, PSO, GA. This paper concentrates on the validation of metaheuristic algorithms like backtracking search optimization algorithm (BSA) and fruit fly optimization algorithm (FFA) for tuning a optimal PID controller for automatic generation control. For this purpose, a two area reheat interconnected thermal system with nonlinearities like generator rate constant (GRC), deadband and time delay are considered. The proposed work is implemented using MATLAB Simulink for various load conditions with objective functions for metaheuristic algorithms capturing signals from various positions of proposed model. The results obtained using two algorithms are compared and explored.

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