Battery energy storage system smooth photovoltaic power fluctuation control method and capacity demand analysis

Analysis the power data of a grid-connected photovoltaic (PV) power station in northern China. And analyze its 1 minute or 10 minutes time interval maximum active power variation. Consider grid-connected PV requirements to join the battery energy storage system(BESS) to reduce the photovoltaic power fluctuate caused by light intensity and temperature change of grid photovoltaic power fluctuations. Use battery optimization control strategy to reduce power and capacity of the BESS configuration. Take advantage of the BESS charge and discharge characteristics to reduce the problems of grid-connected PV power output fluctuations. Analysis the smoothing effect evaluation index when BESS rated power and capacity changed. Proposed a control strategy that use BESS to smooth PV grid power fluctuations, and optimize the BESS power and capacity, the simulation results verify the feasibility of control strategy and algorithm.