电力系统保护与控制2024，Vol.52Issue(9)：132-142,11.DOI:10.19783/j.cnki.pspc.230998
面向光储充一体化社区的有序充电策略研究
An orderly charging strategy for a photovoltaic-storage-charging integrated community
摘要
Abstract
Currently the optimization objective of an orderly charging strategy has a single layer and new energy output is not considered.Thus an orderly charging strategy for a photovoltaic-storage-charging integrated community is proposed.First,the reduction of peak valley difference of community load is taken as the optimization goal of the power grid layer,and the reduction of user charging costs is taken as the optimization goal of the user layer to complete the design of a double-layer multi-objective orderly charging model.Secondly,a scheduling architecture based on cloud edge collaboration is designed,deploying the power grid layer optimization model on the cloud side and the user layer optimization model on the edge side.This architecture effectively uses the computing resources on the edge side and alleviates the computational pressure on the cloud side for large-scale access to electric vehicles.Finally,five charging scenarios are used as examples for simulation analysis.The experiment shows that compared to disorderly charging,the strategy proposed can reduce the peak valley difference of community load by 40.47%and the average charging price by 52.63%.Compared with the single-layer orderly charging strategies,this strategy has significant advantages in terms of overall effectiveness,ensuring the safe and stable operation of the distribution network while also taking into account the economic interests of electric vehicle users.关键词
光储充一体化社区/有序充电/双层多目标优化模型/云边协同/电动汽车Key words
photovoltaic-storage-charging integrated community/orderly charging/double-layer multi-objective optimization model/cloud edge collaboration/electric vehicle引用本文复制引用
康童,朱吉然,冯楚瑞,范敏,任磊,唐海国..面向光储充一体化社区的有序充电策略研究[J].电力系统保护与控制,2024,52(9):132-142,11.基金项目
This work is supported by the National Key Research and Development Program of China(No.2020YFB2009405). 国家重点研发计划项目资助(2020YFB2009405) （No.2020YFB2009405）
国网湖南省电力有限公司科技项目资助(5216A5220010,5216A522001Z) （5216A5220010,5216A522001Z）
