COMPARATIVE STUDY OF META-HEURISTIC AND CLASSICAL TECHNIQUES FOR AUTOMATIC GENERATION CONTROL OF A MULTI-SOURCE SINGLEAREA HYDRO-THERMAL-GAS POWER SYSTEM
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Date
2019-07-26
Authors
Dinakin, D.D.
Oluseyi, P.O.
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Abstract
The PID controller still remains a widely used and very effective means of achieving stability
in control systems. Generally, the performance of the controller is determined by the
proportional, integral and derivative gains of the controller. The classical techniques: ZieglerNichols (ZN) open loop method; ZN closed loop method; Chien-Hrones-Reswick (C-H-R) load
rejection method; and meta-heuristic technique: the fuzzy logic algorithm, are used to determine
the tuning parameters of the PID controller in this study. The performance comparison of these
controllers is done for automatic generation control (AGC) of a multi-source single-area hydrothermal-gas power system. In such power systems, each source has a participation factor that
determines its contribution to total power generation. The root mean square error (RMSE) is
deployed to determine the proportionate balance of each generator’s output with its
corresponding participation factor. The performance comparison of the controllers using
Simulink/MATLAB shows that the fuzzy-PID controller achieved the most proportionate
generation balance.
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Keywords
Automatic generation control, frequency stability, meta-heuristic, multi-source, classical techniques, fuzzy-PID