Hybrid Energy Storage Capacity Optimization of Microgrid Based on Discrete Fourier Transform
This paper studies the optimal configuration of capacity of the hybrid energy storage system consisting of batteries and super capacitor in grid connected microgrid.The net load power generated by PV and load is stabilized by large power grid and hybrid energy storage device.The authors established a mathematical model of two-stage optimization for hybrid energy storage capacity and resolved the net load power generated in microgrid by using the discrete Fourier transform (FFT).In the first stage,on the basis of satisfying the requirements of power fluctuation of tie line,the researchers chose the cutoff point of the tie line power and hybrid energy storage power that made the tie line reach the highest utilization ratio.And in the second stage,by taking the lowest economic cost of the hybrid energy storage capacity allocation as the goal,the researchers selected the cut-off point of battery power and super capacitor power,thus obtaining the power allocation of tie line,batteries and super capacitor.Then,the optimization model of hybrid energy storage capacity was solved by using genetic algorithm to obtain the optimal capacity allocation of the hybrid energy storage.In the end,this paper conducted a verified analysis through case study.
hybrid energy storagediscrete Fourier transformutilization rate of tie linescutoff points
NETL
NSTL
万方数据
维普
