Research On Stochastic Fault-tolerant Control For Wind Energy Conversion System

The improvement of the comprehensive performance of the wind energy conversion system can reduce the operation cost and improve the utilization efficiency of the clean energy, which is of great significance to the sustainable development of the wind power industry. Because wind allow for system operation reliability and the wind energy capture conversion efficiency is the key to determine the economic benefit of wind power system for wind energy conversion system of the fault tolerant control problem has been widespread concern. Based on the detailed understanding of the principle of maximum power capture of wind energy conversion system and the theory of advanced fault tolerant control, this paper has carried on the following exploration and research.For the modeling problem of wind energy conversion system, we introduce based on the probability of Markov chain (Markov chain) for established for wind energy conversion system of dynamic mathematical model, solve the system caused by the random wind stochastic hybrid characteristics. According to the Markov chain we can get time domain finite scenario tree, tree scene information reflects the stochastic properties of the system, based on scene tree we can established for wind energy conversion system of random dynamic model. And the random evolution of the model is determined by the perturbation factor set.For the optimization control problem of wind energy conversion system, this paper presents a scenario based stochastic model predictive control (SSMPC) algorithm, which is based on next time tracking error prediction of random metric values of the minimization is presented in this paper. In view of the system under normal circumstances, the tracking error random metric problems, based on minimizing the expected error tracking to building a measurement target function, using quadratic programming (quadratic program, QP) to solve to realize to the wind energy conversion system optimization control, and discusses the stochastic model predictive control algorithm convergence problem.For the fault tolerant control problem of wind energy conversion system under the framework of SSMPC, by minimizing all the possible maximum deviation (min max) performance metrics to re-construct measure target function, using linear programming, LP) method is used to solve the problem, realize to the wind energy conversion system in both normal and fault conditions, optimal control, analysis and comparative analysis of the two simulation results, is derived based on the minimization of all the possible maximum deviation (min max) properties of the SSMPC optimization algorithm can achieve to failure under the condition of wind energy conversion system optimization control of conclusion.