Voltage Stability Enhancement and Power Oscillation Damping of a Grid-Connected Wind Power Plant based on Dynamic Optimized GA-PI Controller

Diab, Ahmed A. Zaki; Ali, Hassan; Elsaady, G. A.; ElSayed, Abohashema M.

doi:10.21608/jisse.2019.17584.1005

Voltage Stability Enhancement and Power Oscillation Damping of a Grid-Connected Wind Power Plant based on Dynamic Optimized GA-PI Controller

Document Type : Original Article

Authors

¹ Dept. of Electrical Engineering, Kyushu University, Fukuoka 819-0395, Japan; Dept. of Electrical Engineering, Faculty of Engineering, Minia University, Minia 61111, Egypt

² Dept. of Electrical Engineering, Faculty of Engineering, Minia University, Minia 61111, Egypt

³ Dept. of Electrical Power and Machine, Faculty of Engineering, Assiut University, Assiut, Egypt

10.21608/jisse.2019.17584.1005

Abstract

Nowadays, the integration of wind energy plants with electrical power systems is increasing rapidly. Moreover, the stability of the power system is affected by the integration of wind energy plants. In this paper, a novel controller has been designed for improving the transient stability of the grid-connected wind generators using STATCOM based on dynamic online optimized GA-PI controller in order to enhance the damping of system oscillations. The STATCOM control scheme for the grid-connected wind energy generation system for power quality improvement is simulated using MATLAB/SIMULINK in power system block set. The results show the application of the STATCOM based on the proposed intelligent controller improve the overall performance of the control system such as the reduction of the voltage fluctuation. In order to validate the proposed scheme, the simulation results have been compared with this without STATCOM. The results show that the proposed controller can accelerate the dynamic response of control system, strengthen the robustness and smoothly operation with respect to the voltage and power response as well as precisely. This paper designates the distinguished performance of the proposed dynamic optimized controller for the control of the active and reactive power of the grid-connected wind power plants.

Keywords