Power Control Based on a Proportional-dual Integral Controller for Multi-rotor Wind Power Systems Using Genetic Algorithm

In this study, the new direct power control (DPC) is proposed based on proportional-dual integral (PDI) controllers to control the doubly-fed induction generator (DFIG) power. The effectiveness of the suggested DPC-PDI strategy is analyzed and compared with traditional DPC techniques in terms of the minimizing steady-state error (SSE), DFIG energy undulations, time response, and total harmonic distortion (THD) of current of the DFIG-based multi-rotor wind turbine (MRWT). Graphical and numerical results show that the DPC-PDI strategy is more robust to parameter variations of the system compared to the conventional DPC. Moreover, the DPC-PDI has low THD compared to the DPC. Also, when the suggested DPC-PDI is used, the SSE and overshoot of the DFIG power is reduced. Detailed simulation results using MATLAB using a 1,500kW DFIG-MRWT are presented, where the THD value was reduced by 13.04%, 5.45%, and 59.25% in the tests compared to the DPC. The DPC-PDI minimized the value of active power ripples by percentages estimated at 83.10%, 87%, and 84.07% in the suggested tests compared to the DPC. Also, the SSE of reactive power was reduced by 70.68%, 84.84%, and 79.85% in the tests compared to the DPC. These percentages indicate the superiority of the DPC-PDI in ameliorating DFIG-MRWT system characteristics compared to the DPC.