Performance of PMSG-Wind Power Plant During Three Phase Faults with ANN Based Control of STATCOM

Recently, much reliance has been placed on renewable energy sources. Wind energy is one of the most important of these sources as wind is used to produce electricity. In this paper, the Permanent Magnet Synchronous Generator (PMSG) with wind turbines is used to produce electricity. Most of the time, wind farms are connected to the electrical grid directly which affects the performance of the electrical network. The Distribution Static Compensator (D-STATCOM) is employed to improve the performance of power systems. This paper also applies the artificial neural networks (ANN) to evaluate the best values of control gains of D-STATCOM to enhance the performance of the PMSG during three phase faults. The performance of PMSG with ANN-D-STATCOM is compared with the performance of PMSG with Lightning attachment procedure optimization (LAPO) tuned D-STATCOM and the performance of PMSG without D-STATCOM. The system studied is designed and simulated in the MATLAB-Simulink software.