摘要
随着大规模需求响应业务的开展,海量用户接入电网导致大量信息汇聚,会造成短时网络拥塞,从而影响需求响应信息交互服务的通信质量。针对海量报文汇聚问题提出一种汇聚流量优化机制,首先在报文层面分析需求响应业务信息交互的特点,确定优化对象;然后对业务汇聚流量进行合并降冗处理;最后,设计一种基于时间窗口的汇聚流量优化机制。经仿真验证,该方法能够获取较高的压缩效率,从而提升需求响应业务信息的传输效率。
With the development of large-scale demand response,massive user access will lead to massive information aggregation,resulting in short-term network congestion,and thus affecting the communication quality of demand response information exchange services.A convergence traffic optimization mechanism is proposed to solve the problem of mass packet aggregation.Firstly,the characteristics of demand response information interaction are analyzed at the packet level,and the optimization object is determined.Then the packets are combined to remove redundant information.Finally,design a funnel flow optimization mechanism based on time window.Simulation results show that this method can obtain higher compression efficiency and improve information transmission efficiency.
作者
李彬
郝一浩
明雨
祁兵
王婧
LI Bin;HAO Yihao;MING Yu;QI Bing;WANG Jing(School of Electric and Electronic Engineering,North China Electric Power University,Beijing 102206,China;State Grid Integrated Energy Services Group Co.,Ltd.,Beijing 100052,China)
出处
《供用电》
2023年第6期84-90,共7页
Distribution & Utilization
基金
国网综合能源服务集团有限公司科技项目“基于综合能源运营的虚拟电厂关键技术应用及运营模式研究”(52789921N00D)。
关键词
综合能源服务
需求响应
信息交互
时间窗口
汇聚流量优化
comprehensive energy services
demand response
information interaction
time window
convergence flow optimization
