Abstract
This paper presents an application of the genetic algorithm (GA) for optimizing controller gains of the Self-Excited Induction Generator (SEIG) driven by the Wind Energy Conversion Scheme (WECS). The proposed genetic algorithm is introduced to adapt the integral gains of the conventional controllers of the active and reactive control loop of the system under study, where GA calculates the optimum value for the gains of the variables based on the best dynamic performance and a domain search of the integral gains. The proposed genetic algorithm is used to regulate the terminal voltage or reactive power control, by adjusting the self excitation, and to control the mechanical input power or active power control by adapting the blade angle of WECS, in order to adjust the stator frequency. The GA is used for optimizing these gains, for an active and reactive power loop, by solving the related optimization problem. The simulation results show a better dynamic performance using the GA than using the conventional PI controller for active and reactive control.
Highlights
Studies of self-excited induction generators have been investigated since 1935
This paper studies Self-Excited Induction Generator (SEIG) performance, when equipped with a switching capacitor bank, using a controller based on genetic algorithm (GA) to adjust the duty cycle and adjusting the stator frequency via the pitch control
This paper presents the application of two types of controller to enhance the performance of SEIG driven by Wind Energy Conversion Scheme (WECS), using a variable rule based integral gain and GA
Summary
Studies of self-excited induction generators have been investigated since 1935. This paper studies SEIG performance, when equipped with a switching capacitor bank, using a controller based on GAs to adjust the duty cycle and adjusting the stator frequency via the pitch control. The second controller is the active controller, which adjusts the input mechanical power to the generator and keeps the stator frequency constant. This is achieved by controlling the pitch angle of the blade of the wind turbine. It consists of a self-excited induction generator driven by a wind energy conversion scheme connected to an isolated load.
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