摘要
配电网状态监测系统建设是构建泛在电力物联网的重要内容,准确预测通信网络带宽对明确业务需求、优化资源配置具有重要意义。针对当前配用电基于排队论的通信带宽预测方法在混合业务并存时带宽计算过程复杂的局限性,提出了一种基于G/M/1/N队列模型的通信带宽预测方法。从状态监测系统架构和数据业务特点出发,分析混合数据业务到达时间间隔的统计描述以及基本传输速率,并给出了满足服务质量(quality of service,QoS)要求的系统带宽最优化化求解方法。以典型配电网状态监测应用为例,讨论了业务带宽、服务质量和带宽利用率之间的量化评价过程;验证了配电网状态监测网络信息流的"小数据"特征,为低功耗广域物联网通信技术在配电网状态监测中的应用提供了理论支撑。
The construction of condition monitoring system in distribution network is an important part of constructing ubiquitous power internet of things. Accurate estimation of communication bandwidth is of great significance to identity business requirements and to optimize resource allocation. In view of current communication bandwidth estimation method based on queuing theory results in the limitation of bandwidth computation complexity when hybrid services coexist, a method based on G/M/1/N queue model is proposed. On the basis of the architecture of condition monitoring system and the characteristics of data service, this paper analyzes the statistical description and basic transmission rate of the inter-arrival time of mixed data service, and gives the optimal solution method of bandwidth to meet the requirements of QoS. Taking the typical condition monitoring application as an example, the quantitative evaluation process among service bandwidth, QoS and bandwidth utilization is discussed. The "small data" characteristics of the information flow in the condition monitoring network of distribution network are verified, which provides a theoretical support for the application of low-power wide-area IoT communication technology in condition monitoring.
作者
王志伟
李建岐
黄毕尧
WANG Zhiwei;LI Jianqi;HUANG Biyao(School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China;Global Energy Interconnection Research Institute Co.,Ltd.,Beijing 102209,China)
出处
《电力建设》
北大核心
2019年第11期1-7,共7页
Electric Power Construction
基金
国家电网公司科技项目(SGGR0000XTJS1800957)~~
关键词
配电网状态监测
混合队列
G/M/1/N模型
带宽预测
status monitoring in distribution network
hybrid queue
G/M/1/N model
bandwidth prediction
