Application of GA/GA-SA based fuzzy automatic generation control of a multi-area thermal generating system

摘要: Abstract Optimal integral gains (for gain control) and proportional-integral-derivative PID are computed by genetic algorithm (GA) then hybrid algorithm-simulated annealing (GA-SA) techniques for nominal values of area input parameters optimal transient responses frequency deviations in terms settling times, undershoots, overshoots d f /d t as output with incremental increase load interconnected three equal generating areas. Though it is well known that the normal control usually superior to because advantages each individual actions (proportional, derivative), author’s contribution paper optimizing these through GA or GA-SA methods obtain an controller, which would be further better than controller. These tested plotting analytically MATLAB based software program “SIMULINK software.” Both yield same results prove suboptimal, arbitrary respect responses. The next show determined technique more globally those method. For off-nominal parameters, fast acting Sugeno fuzzy logic reflect superiority optimized gains, specially control, has also been verified “MATLAB–SIMULINK” software.