Research On Feed-in Tariff Mechanism And Regulation Strategy For Wind Power Based On Power Fluctuation

Wind power is a kind of renewable green cleaning energy, but it is random, intermittent, and uncertainty.These characteristics of wind power not only bring frequency regulation, peak load,voltage regulator and other technical problems of power grid operation,also face with the economic problems that how to integrate with existing electricity market rules.To slove problems caused by instability wind power incorporated into power grid, according to summary and analyze different wind power tariff mechanisms and their regulation cost allocation patterns,the working principle and influence on feed-in tariffs of hybrid energy storage system(HESS) used to smooth output power fluctuation was researched. A feed-in tariff mechanism and regulation strategy for wind power based on power fluctuation also was proposed.Firstly,according to typical economic model for wind farms and economic evaluation methods for investment projects,evaluated and analyzed the return on investment of domestic wind projects under current benchmarking price.It took benchmarking price, equivalent full-load hours as variable parameters and setted internal rate of return(IRR) as objective function.Used sensitivity analysis to calculation the economic data of typical wind farms.Secondly,a feed-in tariff mechanism based on modified benchmark price and power fluctuation coefficient was proposed.In this paper,current benchmarking price was modified by reasonable IRR,and evaluation indicators were proposed according to the maximum change rate of on-grid wind power in one minute and in ten minute that can identify the smoothness of power curve and the accuracy of real-time power forecasting results. And then took power fluctuation coefficient into consideration,a feed-in tariff mechanism model was established to reflect modified benchmark price and power fluctuation coefficient.Wind farms could use energy storage technology to enhance the stability of output power and obtain larger power fluctuation coefficient so as to gain more price subsidies.Combined with the characteristics of super capacitor and battery, a HESS with multiple parameters was established and its working principle and coordinated control method also was designed.Based on Matlab/Simulink platform,optimization scheme for wind power under different system parameters was researched. Combined with feed-in tariff mechanism for wind power,this paper putted forward a new optimal regulation strategy considered power fluctuation,and established a new model reflected the relationship between system parameters and evaluation index, regulation cost and feed-in tariff mechanism.Through Matlab programming,a wind power optimization regulation strategy model based on least squares support vector machine (LSSVM) was established. Quantum particle swarm optimization (QPSO) was used to optimize parameters of this nonlinear regression model and determine optimal performance under optimum system parameters by optimizing objective function,which was derived from the built model.Related case results and economic analysis verified the feasibility of the proposed optimal regulation strategy.