Enhancement of the power quality of DFIG-based dual-rotor wind turbine systems using fractional order fuzzy controller

Direct power control (DPC) is used in wind turbine systems (WTSs) to regulate the energy of the doubly-fed induction generators (DFIG). Due to its features, including simplicity, effectiveness in supporting active and reactive power during abnormal operating situations, and fast dynamic response, DPC was used. The sensitivity to parameter changes and the insertion of harmonics, which lowers the quality of the generated power, are the main drawbacks, on the other hand. Developing a simple, reliable, and efficient DPC controller that overcomes the limitations of the traditional DPC in wind energy conversion systems (WECSs) is a challenge. This work presents a new fractional-order fuzzy control (FOFC) of the DFIG-based multi-rotor wind energy systems. This control is a combination between fractional-order control and fuzzy control to obtain a high robustness technique. This proposed control aimed to improve the effectiveness of the DFIG-based multi-rotor WECS in terms of some performance indicators, such as power quality and resistance to system parameters changes. The simulation results prove the high performance of the FOFC, even in the event of a system failure, as the active and reactive power ripple reduction ratios in this test were estimated at 74.16% and 71.38%, respectively, compared to the conventional control. In addition, the FOFC strategy minimizes the harmonic distortion of current by about 51.42% compared to the DPC strategy.

Automated summary

This paper presents a new fractional-order fuzzy control strategy for DFIG-based multi-rotor wind energy systems, aiming to improve power quality and resistance to system parameter changes. Simulation results demonstrate the high performance and stability of the proposed strategy, even under system failure conditions.