A new strategy for controlling wind turbines against sensor faults and wake effects to harvest more electrical energy

This paper describes a new method for harvesting maximum electrical energy in wind farms. In proposing technique, the stochastic process principles are applied for detecting fault measurements of sensors. On theother hand, the wind farm is modeled by using fuzzy concept. Thereby the turbines are controlled against continuous changes in speed, direction and eddy currents of the blowing wind. To evaluate the performance of theproposed method three practical conditions of wind blowing are simulated.In the first scenario, the normal wind is simulated with low turbulence and slow changes. The second scenario belongs to high turbulence winds withsudden shifts in their parameters, and finally in the most complex scenario, several eddy currents are considered in blowing winds too. The obtainedresults show that the proposed method provides greater and more uniform harvested power compared to alternative methods. Furthermore, its superiority against other techniques has increased in parallel with the scenario become more complicated.

Keywords:

Stochastic process , Energy harvesting , Fault detection , Wind parameters estimation