大数据联盟下一种分布式光伏资源共享算法设计  

Design of a distributed photovoltaic resource sharing algorithm under big data alliance

作　　者：刘洋 刘吉成[1] LIU Yang;LIU Jicheng(College of Computer Science and Technology,Inner Mongolia Normal University,Hohhot 010022,Inner Mongolia,China;School of Economics and Management,North China Electric Power University,Beijing 102206,China)

机构地区：[1]内蒙古师范大学计算机科学技术学院,内蒙古呼和浩特010022 [2]华北电力大学经济与管理学院,北京102206

出　　处：《沈阳工业大学学报》2024年第1期109-114,共6页Journal of Shenyang University of Technology

基　　金：国家自然科学基金项目(71771085)。

摘　　要：为了提升分布式光伏资源利用率,提高时均用电效率,提出大数据联盟下分布式光伏资源共享算法。依据光伏发电储电用电价值链建立资源共享目标,并在约束条件下利用线性电力系统网络模型建立主导节点选择矩阵,划分资源共享集群。针对集成的分布式光伏资源,依据大数据联盟理论,将资源共享分为两种资源共享模式,建立资源共享动态模型,实现资源共享。结果表明,所提方法的资源共享效果较好,能够有效提升资源利用率,具有一定的应用价值。In order to improve the utilization rate of distributed photovoltaic resources and improve the time-average electricity efficiency,a distributed photovoltaic resource sharing algorithm under the big data alliance was proposed.According to the value chain of photovoltaic power generation storage consumption,the resource sharing target was established,the linear power system network model was used to establish the dominant node selection matrix under the constraint condition,and the resource sharing clusters were divided.For integrated and distributed photovoltaic resources,according to the big data alliance theory,resource sharing was divided into two resource sharing modes,and a dynamic model of resource sharing was established to realize resource sharing.The results show that the as-proposed method has better resource sharing effect and can effectively improve resource utilization,proving that it has certain application value.

关 键 词：分布式光伏资源 资源共享 价值链 资源利用率 时均用电效率 

分 类 号：TM73[电气工程—电力系统及自动化]