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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dc.contributor.authorDinakin, D.D.
dc.contributor.authorOluseyi, P.O.
dc.date.accessioned2020-07-02T15:42:05Z
dc.date.available2020-07-02T15:42:05Z
dc.date.issued2019-07-26
dc.description.abstractThe 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.en_US
dc.identifier.urihttps://ir.unilag.edu.ng/handle/123456789/8497
dc.language.isoenen_US
dc.subjectAutomatic generation control, frequency stability, meta-heuristic, multi-source, classical techniques, fuzzy-PIDen_US
dc.titleCOMPARATIVE STUDY OF META-HEURISTIC AND CLASSICAL TECHNIQUES FOR AUTOMATIC GENERATION CONTROL OF A MULTI-SOURCE SINGLEAREA HYDRO-THERMAL-GAS POWER SYSTEMen_US
dc.title.alternativeKufa Journal of Engineeringen_US
dc.typeArticleen_US
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