Hybrid soft computing control strategies for improving the energy capture of a wind farm

Abstract

In this paper, a fuzzy controller is proposed for wind turbine control. A model is analyzed and combined with a stochastic wind model for simulation purposes. Based on the model, a fuzzy control of wind turbine is developed. Wind turbine control loop provides the reference inputs for the electric generator control loop in order to make the system run with maximum power. Since the wind speed involved in the aerodynamic equations is a stochastic variable, whose effective value cannot be measured directly, a wind speed estimator is also proposed.[Projekat Ministarstva nauke Republike Srbije, br. TR33036/2011: Development of new meteorological mast for turbulence parameters characterization and br. TR35005/2011: Research and development of new generation wind turbines of high-energy efficiency

Influence of the Changing Local Climate on Wind Potentials of Mount Kopaonik

“…As the potentials are near the acceptable margin of potentials (C p~2 5%), there is a possibility for combining the system with solar or other types of RES [12,13], in order to increase efficiency. Some new approaches to the problem of the wind farm production estimations can also be implemented [14].…”

“…Important research was done on atmospheric turbulence [7] and the methods of measuring wind potentials in the complex mountainous terrains of Serbia [8]. There are some papers considering the wind influence on other renewable energy sources [9], energy storage [10,11] and advanced simulation models [12,13].…”

Valorization of potentials of wind energy in Montenegro

“…where z represents the height above the ground, z ref -the reference height, z 0 -the roughness height, and α -the terrain roughness coefficient. Typical values of z 0 and α can be found in [17].…”

Efficiency improvement of a variable speed wind turbine: Effect of controller design and generator speed range

“…In this controller, neural network is used to adjust the membership functions of the fuzzy controller. Živković et al (2012) utilized an advanced fuzzy controller for controlling wind turbine. In this paper, a model is also analyzed and combined with a stochastic wind model for simulation purposes.…”