Stable stochastic model predictive control for uncertain wind energy conversion system
GUO Shi-fan
LIU Xiang-jie
KONG Xiao-bing
MA Le-le
Abstract：The stochastic uncertainty of wind speed presents a great challenge for achieving stable power control in wind energy conversion system(WECS).Due to the excellence in handling the uncertainties based on probabilistic descriptions,stochastic model predictive control(SMPC)has been widely applied in the power control of WECS.However,the fluctua-tion characteristic of wind speed can lead to frequent changes in the operating points of WECS,and the traditional SMPC can only ensure the feasibility and stability of WECS at one single predesigned operating point.To address the above issue,a stable SMPC strategy for uncertain WECS is proposed in this paper to ensure the feasibility and stability of WECS under changing operating points over the whole operating regions.A Luenberger observer is employed to estimate model-plant mismatch introduced by linearization process,while a tube-based control framework is deployed to cope with stochastic wind speed disturbance.The feasibility of SMPC is ensured by incorporating artificial steady targets as optimization vari-ables,while the stability of WECS is guaranteed by modifying the cost function and extending the terminal constraint.The effectiveness of the proposed strategy is validated through simulations and experiments by fatigue,aerodynamics,structures and turbulence(FAST)under different scenarios.
Keywords：wind energy conversion systemmodel predictive controlchanging operating pointsdisturbance rejection
Publication Date：2025-12-30
Online Publishing Date：2026-03-05(First online date of this platform, not the publication date of the document)
Pages：10( 2429-2438 )