Abstract: This work focuses on the modeling, control, and dynamic analysis of a small, isolated electric power system consisting of a diesel engine and a wind turbine generator. A time-domain dynamic study of an electric power system utilizing simplified models of its constituent parts takes into account the wind turbine's pitch controller and the diesel engine's speed regulator. Wind gusts, rapid ramp changes, and random noise components comprise the wind disturbance model. The diesel generator supplies the additional power required by the load, while the wind turbine generator is always operated at its rated capacity. Two control schemes—proportional-integral (PI) and proportional-integral-derivative (PID) controllers—are employed in this work to improve the wind-diesel power system's dynamic performance in the face of load and wind disturbances. The diesel generator provides the extra power needed by the load, while the wind turbine generator is always run at its rated power. Two control schemes—proportional-integral (PI) and proportional-integral-derivative (PID) controllers—are employed in this work to improve the wind-diesel power system's dynamic performance in the face of load and wind disturbances. Genetic algorithms (GA) and other optimization approaches are used to optimize the gain parameters of PI and PID controllers. The results of the simulation are shown, and the dynamic performance of the wind-diesel power system is compared for various PI and PID controller optimum gain settings that were determined using GA.
Keywords: PID controller, Genetic Algorithm based PID (GAPID) controller,
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