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Fuzzy Logic and Genetic Algorithm based Automatic Generation Control of Two-Area Deregulated Power Systems
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Abstract
This paper illustrates the automatic generation control (AGC) of an interconnected two-area power system under deregulated environment. Two controllers viz., a Hybrid Fuzzy-PI (HFPI) controller and Genetic Algorithm based PI (GAPI) controller are proposed to improve the dynamic response of the power systems. The conventional two-area AGC system is modified to take into account the effects of bilateral contracts on the dynamics. In the HFPI controller, the parameters of the conventional PI controller are modified according to the principles of fuzzy logic whereas in GAPI controller, tuning parameter design criteria is reformulated as an optimization problem and the general rules of genetic algorithm (GA) are applied. The convergence and performance of the system are studied for different operating cases and a comparison among conventional integral (CI) controller, HFPI controller and GAPI controller are presented. The simulation results show that the HFPI controller proposed in this paper perform better than the conventional integral and GAPI controllers in terms of settling time and overshoot.
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References
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