Dynamic programming strategy in optimal controller design for a wind turbine system

Abstract

AbstractIn this article, an optimal controller is proposed to extract maximum wind energy from the available wind speed. The very fluctuating nature of wind speed has made the process of extracting wind energy complicated. To extract and optimize such a complicated system, a dynamic programming-based optimal control approach is well suited to non-linear wind turbine system models and restrictions. The performance of this control method is tested via MATLAB software. The outcomes of the system have a 7 up to 8.5 tip speed ratio optimal value and the aerodynamic efficiency has a 0.411 conversion value. With the proposed controller, the energy captured is improved by 13.841% and 1.15% for piecewise step input and randomly generated wind speed respectively compared to standard torque control. The lower percentage improvement, in this case, is due to the limited range of the wind speed value given for the simulation. Generally, the optimal control method is globally maximizing wind energy capture for each time step via forward and backward recursion of dynamic programming rather than normal torque control.