Distributed Photovoltaic and Energy Storage Capacity Allocation Method for the Optimal Use of Energy in the Park
Under the background of"dual carbon",the energy consumption in parks tends to be clean and low-carbon.The scaled development of distributed photovoltaic and energy storage can optimize the energy consumption structure and cost in parks.How to optimize resource allocation and achieve green energy consumption in parks is a current research hotspot.This paper will focus on the demand for optimizing the capacity configuration of distributed photovoltaic and energy storage in parks,and study the optimal configuration method of distributed photovoltaic and energy storage from the perspective of energy consumption cost.The goal is to minimize the annual energy consumption cost and the grid variability coefficient,and an improved adaptive weight particle swarm optimization algorithm is used to establish a two-level optimization model to propose a method for optimally configuring distributed photovoltaic and energy storage capacity for park energy consumption.An example application is carried out in a park energy consumption scenario to verify the feasibility and effectiveness of the model selection and optimization algorithm.
distributed photovoltaicdistributed energy storageoptimize the configurationannual energy use costcoefficient of variation of network
万方数据
维普
