With the global energy depletion and the deterioration of the ecological environment,the green energy,which is mainly represented by wind energy,has received more and more attention from the society and has been exploited and utilized in various countries.As the most economic value of renewable energy,wind energy has been developing rapidly in recent decades.Its control technology has been relatively mature,and has initially formed market competitiveness.Therefore,the research focus of wind power industry is fully excavating the potential of the wind turbine,improving the power generation and reducing the cost.In this paper,the variable speed constant frequency doubly fed asynchronous wind turbine,which is the mainstream of the wind power,is studied.The control system is an important guarantee for the normal operation of the wind power generation system,and the most widely used technology of wind turbine control is the maximum power point tracking(MPPT)control.However,there is a certain deviation in application of the maximum power curve(MPC)of generator,the basis of MPPT control,which affects the generating performance of the wind turbine.At the same time,the most researches on modeling and simulation of wind turbines only use a single platform,it’s necessary to make full use of the advantages of each simulation platform to establish the refinement model of the wind turbine.Therefore,the paper analyzes the control strategy of self-optimizing power curve of DFIG,and a multi-platform co-simulation system for wind turbines is set up.The key contents and main work of this paper include:(1)This paper analyzes the operating characteristics and power conditions of DFIG,and deduced the principle and realization methods of the maximum power point tracking control.By analyzing and comparing the control principle and application of several control algorithms,there is a conclusion that the MPPT control strategy based on the MPC is an ideal method.(2)In this paper,the different reasons for the deviation of the MPC are studied.A control strategy of self-optimizing power curve based on simple-optimization method is proposed to further optimize wind energy utilization of wind power generation system.The algorithm uses the C_p of the wind turbine as the performance function to adjust the power tracking coefficient online,which can quickly and effectively realize the self-optimizing of the MPC and optimize the generating performance of the wind turbine.(3)A hardware-in-the-loop co-simulation platform for DFIG based on GHBladed and RTDS is established,and detailed software and hardware design methods,wind turbine modeling methods are given.Finally,several simulation experiments are implemented on this platform. |