Title :
Nonlinear, Optimal Control of a Wind Turbine Generator
Author_Institution :
Sch. of Eng. & Mater. Sci., Queen Mary Univ. of London, London, UK
fDate :
6/1/2011 12:00:00 AM
Abstract :
In this paper, the design of a nonlinear rotor-side controller (RSC) is developed for a wind turbine generator based on nonlinear, H2 optimal control theory. The objective is to demonstrate the synthesis of a maximum power point tracking (MPPT) algorithm. In the case of a doubly fed induction generator, it is essential that the RSC and the MPPT algorithm are synthesized concurrently as the nonlinear perturbation dynamics about an operating point is either only just stable or unstable in most real generators. The algorithm is validated based on using nonlinear estimation techniques and maximizing an estimate of the actual power transferred from the turbine to the generator. The MPPT algorithm is successfully demonstrated both in the case when no disturbances were present, as it is a prerequisite for successful implementation, and in cases when significant levels of wind disturbances are present.
Keywords :
asynchronous generators; control system synthesis; maximum power point trackers; nonlinear control systems; optimal control; power generation control; turbogenerators; wind turbines; doubly fed induction generator; maximum power point tracking algorithm; nonlinear estimation technique; nonlinear optimal control theory; nonlinear perturbation dynamic; nonlinear rotor-side controller; wind turbine generator; Generators; Heuristic algorithms; Mathematical model; Rotors; Stators; Torque; Wind turbines; Control system; Kalman filtering; induction generators; nonlinear estimation; nonlinear filters; simulation; state estimation; tracking; tracking filters; wind power generation;
Journal_Title :
Energy Conversion, IEEE Transactions on
DOI :
10.1109/TEC.2010.2087380