Study On Capacity Planning Of Distributed Wind-Storage System Integration

In recent years,the phenomenon of the wind power abandonment have seriously restricted the further development of centralized wind power.Compared with the bottleneck of centralized wind power development,distributed wind power has been paid more and more attention by the industry because of its low investment,close consumption,flexible access and many other advantages.But the distributed wind power still has the inherent uncontrollable,non-adjustable and counter-peaking characteristics of wind power itself.The rapid development of wind-storage system in the past few years fully demonstrates that energy storage technology can solve these problems effectively.In order to solve the problem of Distributed Wind-Storage System Integration System(DWSSI)planning,first of all,a bi-level programming model of DWSSI is proposed in this paper.It considers both the maximum capacity and the optimal integral economy: The upper level programming target is optimized to maximize DWSSI capacity,considering many constraint condition such as wind energy resources of each area,absorptive capacity of wind power constituted grid assets,etc;Taking the minimum DWSSI cost as the lower level programming target,it divide into some problems about the optimal matching between the wind power capacity and energy storage capacity of access points,mainly considering some constraints such as the reliability of the DWSSI,wind farm and energy storage power output target,etc.A nested genetic algorithm is used to solve the above model,Secondly,based on the above research contents,we use the MFC framework of Microsoft Visual C ++ 6.0 to develop a simple,convenient and user-friendly DWSSI capacity planning software.Finally,through an example of a distributed wind farm confirmation,the results show that the model and algorithm are reasonable and feasible,and the effects of wind turbine type and Weibull parameters to the capacity planning results are further analyzed.The research results provide a new idea for the development of wind power in China,which enriches the theoretical system of wind storage system planning and can provide some reference for DWSSI capacity planning,and the results of the study are of great significance to improve theutilization rate of wind energy,energy conservation and emission reduction,environmental protection and so on.This paper is supported by the National Natural Science Foundation of China(51367018)and science and technology project from State Grid Corporation of China(5230JY170002).