Wind farm two-level control for energy management

Abstract

A new hierarchical control methodology for the wind farm is addressed in this paper, which consists of centralized and a decentralized controller level. The designed control strategy is able to regulate the output power of the wind farm to the reference power given by the system operators. The centralized controller level, which uses the If-Then fuzzy rules, optimize the whole wind farm power production by generating for each wind turbine generator individual unit the reference power signals whilst the decentralized controller level, which based on the Takagi-Sugeno fuzzy model, optimize the tracking reference power which given by the centralized controller level and guarantees the stability for wide range of the parameter uncertainties. At the decentralized controller, the stability conditions for the closed loop fuzzy system is using the Lyapunov stability theory and then sufficient design conditions are derived for robust asymptotic tracking in terms of linear matrix inequality. The design method employs the so-called parallel distributed compensation. The validation of the control strategy is done by simulations.