COMPARATIVE STUDY OF META-HEURISTIC AND CLASSICAL TECHNIQUES FOR AUTOMATIC GENERATION CONTROL OF A MULTI-SOURCE SINGLE-AREA HYDRO-THERMAL-GAS POWER SYSTEM

The PID controller still remains a widely used and very effective means of achieving stability in control systems. Generally, the performance is determined by proportional, integral derivative gains controller. classical techniques: Ziegler-Nichols (ZN) open loop method; ZN closed Chien-Hrones-Reswick (C-H-R) load rejection meta-heuristic technique: fuzzy logic algorithm, are to determine tuning parameters this study. comparison these controllers done for automatic generation (AGC) multi-source single-area hydro-thermal-gas power system. In such systems, each source has participation factor that determines its contribution total generation. root mean square error (RMSE) deployed proportionate balance generator’s output with corresponding factor. using Simulink/MATLAB shows fuzzy-PID achieved most balance.