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高级量测电气信息流多服务质量传输约束路由算法
引用本文:杨挺,盆海波,陈培丽,孙雨耕.高级量测电气信息流多服务质量传输约束路由算法[J].电子与信息学报,2012,34(11):2694-2699.
作者姓名:杨挺  盆海波  陈培丽  孙雨耕
作者单位:1. 天津大学电气与自动化工程学院 天津 300072
2. 天津电力公司 天津 300010
基金项目:国家自然科学基金(61172014,60702037);天津市自然科学基金重点项目(12JCZDJC21300);面上项目(09JCYBJC00800)资助课题
摘    要:智能微电网是实现可再生能源高效利用的有效途径,系统要求具有鲁棒自愈性。高级量测和可靠通信技术是实现以上目标的核心支持技术。基于流量工程理论和分布式代理技术,该文提出一种应用于智能微电网高级量测(AMI)系统的电气信息流传输多服务质量(QoS)保证路由算法(EIF-MQC)。首先设计了基于IEC61850电气标准的信息分形差分服务代码点(DSCP)映射模型,实现异构电气参量数据整形标记。并通过电气信息流多服务质量传输约束路由算法(EIF-MQC)选择满足流量QoS需求的最优路由。理论证明算法计算传输路径是有效最短路径。仿真实验采用电气可靠性技术解决方案联合会(CERTS)微网系统结构进行算法性能评价,在轻度和重度通信负载条件下,算法均具有较好带宽利用率,并比基于链路状态路由协议(OSPF)和负载均衡最短路径路由协议(LB-SPR)配置路径传输延迟低且丢包率小,从而有效避免网络拥塞,提升AMI系统传输性能。

关 键 词:服务质量    路由算法    高级量测    流量均衡
收稿时间:2012-05-24

Multi-QoS Constraints Routing Algorithm for Advance Measurement Infrastructure Electric Information Flow Transmission
Yang Ting Pen Hai-bo Chen Pei-li Sun Yu-geng.Multi-QoS Constraints Routing Algorithm for Advance Measurement Infrastructure Electric Information Flow Transmission[J].Journal of Electronics & Information Technology,2012,34(11):2694-2699.
Authors:Yang Ting Pen Hai-bo Chen Pei-li Sun Yu-geng
Affiliation:Yang Ting① Pen Hai-bo① Chen Pei-li② Sun Yu-geng① ①(School of Electrical Engineering and Automation,Tianjin University,Tianjin 300072,China) ②(Tianjin Electric Power Corporation,Tianjin 300010,China)
Abstract:Smart Micro Grid (SMG), the system integrating distributed renewable generation, energy storage devices and intelligent inverter, provides efficient approach to utilize energy and decrease carbon emission. To achieve the reliable automated operation, intelligent control and transmission models should be employed in SMG system. Based on the theory of traffic engineering and distributed agent techniques, this paper proposes a novel Electric Information Flow Multi-QoS Constraints routing algorithm (EIF-MQC) applying to SMG advance measurement infrastructure. A Differentiated Services Code Point (DSCP) mapping model to abstract variety electric information from intelligent electronic devices into different QoS class traffic is designed. EIF-MQC computing optimal routing paths for each QoS class flow. In the paper, the mathematical proof to show the routing path computed by EIF-MQC is the shortest path is presented. Based on the infrastructure of Consortium for Electric Reliability Technology Solutions (CERTS) smart micro grid, the computer simulation to evaluate EIF-MQC is finished, compared with Open Shortest Path First (OSPF) and a routing protocol that is based on Load Balancing and a commonly used Shortest Path Routing protocol (LB-SPR). In both of the light communication load period and severe load ones, EIF-MQC has the excellent performance with balance bandwidth utilization rate, short transmission delay and low loss packets rate, all of which will be benefit to avoid transmitting congestion and improve the capability of Advance Measurement Infrastructure (AMI) system.
Keywords:
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