Deregulated Power System
نویسنده
چکیده
This paper presents the AGC controllers to regulate the system frequency and to regulate the power generation of various GENCOs at scheduled levels in a deregulated power system by optimizing the parameters of controller using Evolutionary Real coded genetic algorithm (RCGA). The performance of the controller is investigated on a two-area interconnected power system consisting of Hydro-Thermal unit in one area and Thermal-Gas unit in the second area. The main goal of the optimization method is to improve the dynamics of LFC such as improving of the transient response of frequency and tie-line power oscillations and to optimizing the Power generated by various GENCOs according to the bilateral contracts scheduled between GENCOs and DISCOs in an interconnected multi-area deregulated power system. In the present paper the optimal feedback controller and a proportional-integral-derivative controller were used. The simulation results show the PID controller tuned by the proposed algorithm exhibits improved dynamic performance over optimally tuned Feedback controller.
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