An energy storage scheduling method for photovoltaic-storage microgrids is designed
taking into account the concentrated response of electric vehicle (EV) charging demand. The composition structure and operating principles of photovoltaic-storage microgrids are comprehensively considered
and the influencing factors on photovoltaic-storage microgrids under concentrated EV charging demand response are analysed. Based on the analysis results in the context of concentrated EV charging demand response
scheduling constraints are set from aspects such as energy storage output
demand response
and power balance. Through the calculation of energy storage capacity and EV electricity demand
the results for energy storage scheduling quantities are obtained. Based on these results
a scheduling method is planned to accomplish the energy storage scheduling tasks for photovoltaic-storage microgrids. Experimental results indicate that
compared with traditional scheduling methods
under concentrated charging demand response
the average charging capacity and charging speed of electric vehicles reached 52.3 kWh and 89.6 kWh
respectively
while the balance degree of the photovoltaic-storage microgrid is significantly improved.
JING Y Q, WANG H L, HU Y J, et al.A grid-connected microgrid model and optimal scheduling strategy based on hybrid energy storage system and demand-side response[J]. Energies, 2022, 15(3): 1060.
TIAN G Z, ZHENG Y D, LIU G C, et al.SOC balancing and coordinated control based on adaptive droop coefficient algorithm for energy storage units in DC microgrid[J]. Energies, 2022, 15(8): 2943.