A Bandwidth Optimization Strategy of Demand Response Services in Electric Power Communication Network

被引：0
|
作者：
Li B. [1 ]
Cao W. [1 ]
Qi B. [1 ]
Sun Y. [1 ]
Cheng Z. [2 ]
机构：
[1] School of Electric and Electronic Engineering, North China Electric Power University, Changping District, Beijing
[2] State grid Gansu information& telecommunication company, Lanzhou
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2020年 / 40卷 / 19期
关键词：
Bandwidth resource; Demand response; Dynamic QoS; Electric power communication network; Optimized strategy;
D O I：
10.13334/j.0258-8013.pcsee.191348
中图分类号：
学科分类号：
摘要：
The number of new services and the amount of converged information are exploding in electric power communication network (EPCN). As one of the new types of services, demand response communication services show differences from other traditional services. The short-term load of the demand response services is huge, the concurrency ratio is fluctuating, and the bandwidth resource is redundant. Those features cause the communication network to be suddenly serious. This kind of service affects the normal operation of the EPCN. For this reason, the future work of management in demand response service puts forward higher requirements on the planning and the configuration of the current communication network. Based on the analysis of the newly issued 13th Five-Year Plan Document of the State Grid Information and Communication Industry Group Co., Ltd., the features of demand response communication services was summarized, and optimized strategy for demand response services was proposed. This strategy can make full use of the routing and protection communication resources. The strategy utilizes the idea of dynamic QoS adjustment and dynamic release of bandwidth resources to the work and backup routes services. It can maximize the use of bandwidth resources while maintaining the quality of information transmission. The simulation results show that the proposed configuration strategy can improve the utilization of bandwidth resources to a certain extent, reduce network redundancy, and achieve a greater number of demand response services to access. © 2020 Chin. Soc. for Elec. Eng.
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页码：6227 / 6237
页数：10
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