Optimal PI Pitch Control of SCIG Wind Turbine Using Grey Wolf Optimizer for Dynamic Stability| Chapter 5 | Novel Perspectives of Engineering Research Vol.7

For maximum performance in power limiting to rated value and decreasing loading on wind turbine components, the wind turbine's Proportional Integral (PI) pitch control must be tuned to perfection. The Ziegler Nichols (ZN) tuning method has traditionally been used to tune the PI controller for pitch angle control. Soft computing meta-heuristic optimisation approaches are now commonly utilised to fine-tune PI controllers for precise and optimal wind turbine control (WT). The Grey Wolf Optimization (GWO) technique is developed in this paper to optimise the PI controller for SCIG-WT pitch angle control. The goal is to use GWO to reduce the Integral Time multiplied Square Error (ITSE) objective function, which is based on the WT's power error. This ensures the greatest possible combination of optimised pitch control PI parameters, and thus the best possible dynamic response of the SCIG WT working in power limitation mode under disturbances such as sudden high wind speeds and changes in air density in bad weather. The proposed GWO tuning methodology is compared to a meta-heuristic optimisation technique, notably the classic Particle Swarm Optimization (PSO), the evolution-based Genetic Algorithm (GA), and the Ziegler Nichols (ZN) tuning method, in order to validate its performance. In comparison to other algorithms, the GWO demonstrates its superiority and efficacy in terms of fast convergence of tuning characteristics. Furthermore, compared to PSO, GA, and ZN tuned PI controllers, the GWO tuned PI controller pitch control gave the least settling time and overshoot in pitch angle from rapid changes above rated wind speed or air density in the SCIG-WT. In addition, when compared to PSO, GA, and ZN tuned PI controllers, it had the least undershoot of WT active power and rotor speed. As a result, when compared to PSO, GA, and ZN tuned PI controllers, the GWO tuned PI controller used in pitch control provided improved dynamic stability of SCIG-WT output.

Author(s) Details:

Aliyu Hamza Sule,
Electrical Engineering Department, Hassan Usman Katsina Polytechnic, P.M.B. 2052 Katsina, Katsina State, Nigeria.

Ahmad Safawi Bin Mokhtar,
Electrical Power Engineering Department, Universiti Teknologi Malaysia, 81310, Johor Bahru, Malaysia.

Jasrul Jamani Bin Jamian,
Electrical Power Engineering Department, Universiti Teknologi Malaysia, 81310, Johor Bahru, Malaysia.

Please see the link here: https://stm.bookpi.org/NPER-V7/article/view/5902