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.
关键词
分布式光伏/分布式储能/优化配置/年度用能成本/电网变异系数
Key words
distributed photovoltaic/distributed energy storage/optimize the configuration/annual energy use cost/coefficient of variation of network
维普
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