AGC for autonomous power system using combined intelligent techniques

摘要: Abstract In the present work two intelligent load frequency controllers have been developed to regulate power output and system by controlling speed of generator with help fuel rack position control. The first controller is obtained using fuzzy logic (FL) only, whereas second one a combination FL, genetic algorithms neural networks. aim proposed controller(s) restore in very smooth way its nominal value shortest time possible whenever there any change demand etc. action these provides satisfactory balance between overshoot transient oscillations zero steady-state error. design performance evaluation structure are illustrated case studies applied (without loss generality) typical single-area system. It found that exhibit well overall dynamic overcome drawbacks associated other competing techniques.