面向智能配电网的通信业务逃生策略

doi:10.11959/j.issn.1000-0801.2018117

Abstract

Abstract:

With the development of the smart grid,the communication network for distribution grid plays a more and more importantl supporting role in smart distribution grid.There are various types of communication services in distribution grid,and they differ in communication requirements.A single network cannot meet the needs of all of them.Thus,it is necessary to introduce the heterogeneous network architecture into smart distribution.To improve the reliability of distribution grid,a multi-objective escape strategy based on heterogeneous access networks was proposed,which considered the current state of the communication and services requirements.Based on the network capacity,a multi-objective model subjected to the service functions of real-time (RT) and non-real-time (NRT) services was consouctd by this strategy.And then NSGA-II was adopted to get the Pareto front.The simulation results show that the strategy can guarantee the escape rate and timelines of RT and NRT distribution services.

Key words: smart distribution network, access network, service escape

CLC Number:

TP391.1

Wei DENG,Junyu LIU,Zhe LIU,Shuxian LI. Communication service escape strategy oriented to the smart distribution grid[J]. Telecommunications Science, 2018, 34(3): 162-169.

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References 16

[1]	雷煜卿，李建岐，侯宝素 . 面向智能电网的配用电通信网络研究[J]. 电网技术， 2011,35(12):14-19.
	LEI Y Q , LI J Q , HOU B S . Research on electric communication network for smart grid[J]. Power Grid Technology, 2011,35(12):14-19.
[2]	刘甲男，杜彦洁，孟宪义 . 基于互联网思维的能源互联网发展[J].电信科学[J]. 电信科学， 2016,32(3):176-182.
	LIU J N , DU Y J , MENG X Y . Development of energy internet based on internet thinking[J]. Telecommunications Science, 2016,32(3):176-182.
[3]	岳丽霞 . 基于业务的配电宽带无线通信网络性能测试系统研究与实现[D]. 成都：西南交通大学， 2014.
	YUE L X . Research and implementation of service based performance testing system for distribution broadband wireless communication network[D]. Chengdu: Southwest Jiao Tong University, 2014.
[4]	张媛媛 . 基于QoS保证的异构网关键技术研究[D]. 北京：北京工业大学， 2016.
	ZHANG Y Y . Research on key technologies of heterogeneous network based on QoS guarantee[D]. Beijing: Beijing University of Technology, 2016.
[5]	闫永霞 . 面向智能配电的异构融合通信网络动态负载均衡[J]. 电子测试， 2017(1):85-86.
	YANG Y X . Dynamic load balancing of heterogeneous fusion communication networks for intelligent distribution[J]. Electronic Test, 2017(1):85-86.
[6]	石文孝，张阁，王继红，等. 基于网格的异构无线网络负载均衡算法[J]. 吉林大学学报(工)， 2013,43(3):788-793.
	SHI W X , ZHANG G , WANG J H , et al. Grid based load balancing algorithm for heterogeneous wireless networks[J]. Journal of Jilin University (Engineering and Technology Edition) , 2013,43(3):788-793.
[7]	朱思峰，沈连丰，柴争义 . 基于接入选择和业务转移的异构网络动态负载均衡机制[J]. 高技术通讯， 2014(10):1007-1013.
	ZHU S F , SHEN L F , CHAI Z Y . Dynamic load balancing mechanism of heterogeneous networks based on access selection and service transfer[J]. High Tech Communications, 2014(10):1007-1013.
[8]	钱进，王孝，郭士增 . 基于能效优化的异构网络资源分配算法设计[J]. 通信技术， 2016,49(2):199-204.
	QIAN J , WANG X , GUO S Z . Design of resource allocation algorithm for heterogeneous network based on energy efficiency optimization[J]. Communications Technology, 2016,49(2):199-204.
[9]	崔秀国，刘翔，操时宜，等. 光纤通信系统技术的发展、挑战与机遇[J]. 电信科学， 2016,32(5):34-43.
	CUI X G , LIU X , CAO S Y , et al. Development,challenge and opportunity of optical fiber communication system technologies[J]. Telecommunications Science, 2016,32(5):34-43.
[10]	卢卫，陆希玉 . 4G时代移动互联网的发展趋势[J]. 电信科学， 2014,30(5):51-54.
	LU W , LU X Y . Mobile internet trends in 4G era[J]. Telecommunications Science, 2014,30(5):51-54.
[11]	王海涛 . 应急通信网络中的异构网络互联问题及实现机制研究[J]. 电信科学， 2011,27(3):65-70.
	WANG H T . Research on heterogeneous network interconnection and implementation mechanism in emergency communication network[J]. Telecommunications Science, 2011,27(3):65-70.
[12]	BOUCHER J . Traffic system design handbook:timesaving telecommunication traffic tables and programs[M]. Piscataway: IEEE Press, 1993:33-78.
[13]	LITJENS R ， BOUCHERIE R J . Elastic calls in an integrated services network:the greater the call size variability the better the QoS[J]. Performance Evaluation, 2003,52(4):193-220.
[14]	SHAKKOTTAI S ， STOLYAR A L . Scheduling algorithms for a mixture of real-time and non-real-time data in HDR[J]. Teletraffic Science ＆ Engineering, 2001:793-804.
[15]	张连文，夏人伟 . Pareto最优解及其优化算法[J]. 北京航空航天大学学报， 1997(2):206-211.
	ZHANG L W , XIA R W . Optimal solution and its optimization algorithm of Pareto[J]. Journal of Beihang University, 1997(2):206-211.
[16]	孙卓，刘铁军，张倩倩，等. 异构无线分组网络中的接入选择机制[J]. 系统仿真学报， 2008,20(10):2762-2769.
	SUN Z , LIU T J , ZHANG Q Q , et al. Access selection mechanism in heterogeneous wireless packet networks[J]. Journal of system simulation 2008,20(10):2762-2769.

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