Abstract:

Photovoltaic power has the characteristics of instability,volatility,intermittent,a large number of grid-connected will not be conducive to the stable,energy storage device can solve the above problems.In this paper,a PV output fluctuation suppression model based on PSO-BP neural network is proposed.On the basis of obtaining the typical output curve of photovoltaic power station,the relevant parameters of energy storage configuration are obtained by optimizing the time constant of first-order low-pass filter.The simulation results show that compared with BP neural network,PSO-BP neural network model can obtain better time constant.

Key words: photovoltaic output, smooth fluctuation, PSO-BP neural network, filter