Optimal gain scheduling controller design of a pitch-controlled VS-WECS using DE optimization algorithm

Authors:
Seyed Abbas Taher;Mohammad Farshadnia;Mohammad Reza Mozdianfard
Affiliations:
Department of Electrical Engineering, University of Kashan, Kashan 87317-51167, Iran;Department of Electrical Engineering, University of Kashan, Kashan 87317-51167, Iran;Water and Sustainable Development Research Center, Kashan 87317-51167, Iran and Department of Chemical Engineering, University of Kashan, Kashan 87317-51167, Iran
Venue:
Applied Soft Computing
Year:
2013

Citing 6
Cited 0

Gain scheduling dynamic linear controllers for a nonlinear plant

Automatica (Journal of IFAC)
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces

Journal of Global Optimization
Pitch angle control in wind turbines above the rated wind speed by multi-layer perceptron and radial basis function neural networks

Expert Systems with Applications: An International Journal
A hybrid approach to the synthesis of simply structured robust and gain-scheduled controllers

Applied Soft Computing
Multiagent based differential evolution approach to optimal power flow

Applied Soft Computing
Cost-function-based hypothesis control techniques for multiple hypothesis tracking

Mathematical and Computer Modelling: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an optimal gain scheduling power controller for a variable-pitch variable-speed wind energy conversion system (VS-WECS). For this purpose a set of linear quadratic Gaussian (LQG) controllers are optimally designed using differential evolution (DE) optimization algorithm. These controllers are then used to form a gain scheduling controller (GSC), aiming to regulate the pitch angle and generator electromagnetic torque, and thus, controlling the VS-WECS output electrical power as well as the shaft speed in the above-rated wind speeds. The designed controller for this multi-input multi-output (MIMO) system also reduces destructive mechanical loads on the rotating parts of the wind turbine, while ensuring fast and accurate regulation of the system's variables within their operational constraints. Simulation results on a VS-WECS subjected to a realistic wind model are provided using MATLAB/SIMULINK, which are compared with those of conventional point design controllers. Results indicate that in addition to being robust against parametric uncertainties, the proposed GSC provides enhanced transient and steady-state performance, as well as reduced mechanical loads in a wide range of above-rated wind speed and turbulence variations.