PROJECT TITLE :

Second-Order Cone Programming-Based Optimal Control Strategy for Wind Energy Conversion Systems Over Complete Operating Regions

ABSTRACT:

An efficient control strategy of a wind energy conversion system (WECS) plays a crucial role in wind power utilization. In this paper, a novel multivariable control strategy for a variable-speed variable-pitch WECS is proposed. It's designed for the entire operating regions of a wind turbine, including each of the partial load region and the total load region, with the objectives of maximizing energy capture, smoothing power output, alleviating drive train transient hundreds, and reducing pitch actuator activities. In explicit, this paper considers the wind speed disturbance as norm-bounded, rather than deterministic or probability constraints in the widely used quadratic management strategies such as linear quadratic Gaussian management and model predictive management. Moreover, the WECS management with the norm-bounded disturbance is formulated as a second-order cone programming (SOCP) problem that has not been previously used for wind power control. Finally, simulation results are provided to demonstrate the validity of the proposed methodology.