Research on Distributed Photovoltaic Energy Storage Capacity Configuration Considering Energy Saving and Emission Reduction
Distributed photovoltaic power sources have different working time and power consumption,and their energy storage unnatural loss is faster and not easy to be stored on a large scale.Once the capacity configuration of distributed photovoltaic energy storage nodes is unreasonable,it is easy to cause energy waste.To make the distributed power continuously and stably function,the distributed photovoltaic energy storage capacity configuration method considering energy saving and emission reduction is studied.A distributed photovoltaic power generation model is established to obtain the parameters of distributed photovoltaic power and the output power at the maximum power point,so as to predict the photovoltaic power generation and provide a reference basis for solving the stochastic and uncertainty problems existing in distributed photovoltaic power.By estimating distributed photovoltaic energy storage capacity,difference between daily power supply and demand is calculated,and an energy storage capacity configuration model is established.Constraints and objective functions are set for the purpose of energy saving and emission reduction,so as to complet distributed photovoltaic energy storage capacity configuration.After experimental demonstration and analysis,the difference between the estimated distributed photovoltaic energy storage capacity and the actual value is small,and the result has high credibility,which can provide a reliable basis for energy storage capacity configuration.The maximum output power of photovoltaic energy storage is always within a reasonable range,avoiding excessive power consumption.The state of charge(SOC)is always within the effective interval.The all-day charging and discharging balance satisfies the constraints.The method achieves the purpose of energy saving and emission reduction with reliability.
Distributed photovoltaicPhotovoltaic power generationPhotovoltaic output predictionEnergy saving and emission reductionEnergy storage capacity configurationConstraintsObjective function