Open AccessThe MPPT algorithm combined with pitch angle control for the small-scale wind turbine in a wide speed range
Author(s) -
Quang-Vi Ngo,
Trong-Thang Nguyen
Publication year - 2021
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijpeds.v12.i3.pp1482-1493
Subject(s) - maximum power point tracking , control theory (sociology) , turbine , controller (irrigation) , computer science , pid controller , maximum power principle , wind speed , fuzzy logic , range (aeronautics) , converters , small wind turbine , fuzzy control system , power (physics) , pitch control , pitch angle , control engineering , control (management) , engineering , inverter , temperature control , artificial intelligence , aerospace engineering , physics , agronomy , quantum mechanics , geophysics , meteorology , biology
This research proposes the control system structure for a small-scale wind turbine. Significantly, the maximum power point tracking algorithm (MPPT) and the pitch angle controller are deeply analyzed; this is the base for proposing the strategy of the MPPT algorithm combined with pitch-angle control in a wide speed range of wind. This article also researches the converters, then analyses the advantages of each converter to choose the suitable converter for the small-scale wind turbine. In the MPPT algorithm design, the expert experience takes advantage through the fuzzy controller. The pitch angle controller is built based on the PID controller with its parameters adjusted by Fuzzy logic. The results showed that the effectiveness of the proposed control strategy is much better than that of the traditional control strategy. Moreover, in high and low wind speeds, the proposed control system operates reliably and stably.