Hybrid Pitch Angle Controller Approaches for Stable Wind Turbine Power under Variable Wind Speed

Md Rasel Sarkar, Sabariah Julai, Chong Wen Tong, Moslem Uddin (), M.F. Romlie and Shafiullah Gm
Additional contact information
Md Rasel Sarkar: Department of Electrical and Electronic Engineering, Faculty of Science and Engineering, World University of Bangladesh, Dhaka 1205, Bangladesh
Sabariah Julai: Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
Chong Wen Tong: Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
M.F. Romlie: Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Teknologi Petronas, Seri Iskandar, Tronoh 32610, Perak, Malaysia
Shafiullah Gm: Discipline of Engineering and Energy, College of Science, Health, Engineering and Education, Murdoch University, Murdoch, WA 6150, Australia

Energies, 2020, vol. 13, issue 14, 1-19

Abstract: The production of maximum wind energy requires controlling various parts of medium to large-scale wind turbines (WTs). This paper presents a robust pitch angle control system for the rated wind turbine power at a wide range of simulated wind speeds by means of a proportional–integral–derivative (PID) controller. In addition, ant colony optimization (ACO), particle swarm optimization (PSO), and classical Ziegler–Nichols (Z-N) algorithms have been used for tuning the PID controller parameters to obtain within rated stable output power of WTs from fluctuating wind speeds. The proposed system is simulated under fast wind speed variation, and its results are compared with those of the PID-ZN controller and PID-PSO to verify its effeteness. The proposed approach contains several benefits including simple implementation, as well as tolerance of turbine parameters and several nonparametric uncertainties. Robust control of the generator output power with wind-speed variations can also be considered a significant advantage of this strategy. Theoretical analyses, as well as simulation results, indicate that the proposed controller can perform better in a wide range of wind speed compared with the PID-ZN and PID-PSO controllers. The WT model and hybrid controllers (PID-ACO and PID-PSO) have been developed in MATLAB/Simulink with validated controller models. The hybrid PID-ACO controller was found to be the most suitable in comparison to the PID-PSO and conventional PID. The root mean square (RMS) error calculated between the desired power and the WT’s output power with PID-ACO is found to be 0.00036, which is the smallest result among the studied controllers.

Keywords: pitch angle; wind turbine; proportional–integral–derivative; ant colony optimization; particle swarm optimization and wind power (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/14/3622/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/14/3622/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:14:p:3622-:d:384335

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().