AGC for autonomous power system using combined intelligent techniques

In the present work two intelligent load frequency controllers have been developed to regulate the power output and system frequency by controlling the speed of the generator with the help of fuel rack position control. The first controller is obtained using fuzzy logic (FL) only, whereas the second one by using a combination of FL, genetic algorithms and neural networks. The aim of the proposed controller(s) is to restore in a very smooth way the frequency to its nominal value in the shortest time possible whenever there is any change in the load demand etc. The action of these controller(s) provides a satisfactory balance between frequency overshoot and transient oscillations with zero steady-state error. The design and performance evaluation of the proposed controller(s) structure are illustrated with the help of case studies applied (without loss of generality) to a typical single-area power system. It is found that the proposed controllers exhibit satisfactory well overall dynamic performance and overcome the possible drawbacks associated with other competing techniques. (C) 2002 Elsevier Science B.V. All rights reserved.