SDN Based Dynamic and Autonomous Bandwidth Allocation as ACSI Services of IEC61850 Communications in Smart Grid

被引:0
|
作者
Li, Gaolei [1 ]
Wu, Jun [1 ]
Guo, Longhua [1 ]
Li, Jianhua [1 ]
Wang, Hongkai [2 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai, Peoples R China
[2] State Grid Zhejiang Elect Power Corp, Informat & Telecommu Branch, Hangzhou, Zhejiang, Peoples R China
来源
2016 THE 4TH IEEE INTERNATIONAL CONFERENCE ON SMART ENERGY GRID ENGINEERING (SEGE) | 2016年
关键词
smart grid; SDN; IEC61850; bandwidth allocation; ACSI services;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Fine-grained multiple dimensional monitoring and control of power infrastructures enables the scale of network traffic to grow at an exponential way in smart grid. However, bandwidth remains a constrained resource which is infeasible to provision at liberty in IEC61850 based substation. Motivated by the observation that it is important to allocate appropriate bandwidth for each terminal device according to the whole network states and service priority, we propose a novel dynamic bandwidth allocation scheme, which is based on software defined networks (SDN) and IEC61850 to guarantee high bandwidth utilization in substation networks. In the proposed scheme, network elements are interconnected and interoperated with power infrastructures seamlessly through the general abstract communication service interfaces (ACSI). Moreover, a modified SDN controller is designated to monitor and control states of both station-level network and process-level, in which dynamic bandwidth allocation policy are formulated to ACSI services. On one hand, the controller serves for diverse applications of Intelligence Electric Devices (IEDs) autonomously. On the other hand, every IED needs to report its bandwidth requirements to controller. Besides, an efficient communication mechanism is also proposed for information exchange between IEDs and modified controller. Therefore, bandwidth for each traffic flow can be configured according to the whole network states in real time. Moreover, traffic flows can be forwarded through multiple routing paths. To evaluate the performance of proposed scheme, bandwidth utilization of MMS, GOOSE and SAV communications are simulated. Simulation results show bandwidth utilization for MMS, GOOSE and SAV is improved significantly.
引用
收藏
页码:342 / 346
页数:5
相关论文
共 49 条
  • [41] Event-based reinforcement learning algorithm for dynamic resource allocation in smart grid
    Wang, Jiayi
    Hu, Wenfeng
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2025,
  • [42] SCAN-CogRSG: Secure Channel Allocation by Dynamic Cluster Switching for Cognitive Radio Enabled Smart Grid Communications
    Monisha, M.
    Rajendran, V.
    IETE JOURNAL OF RESEARCH, 2022, 68 (04) : 2826 - 2847
  • [43] Dynamic bandwidth allocation based on adaptive predictive for low latency communications in changing passive optical networks environment
    Cao, Bingyao
    Zheng, Xin
    Yuan, Kechen
    Qin, Deli
    Hong, Yiming
    OPTICAL FIBER TECHNOLOGY, 2021, 64
  • [44] Dynamic inter-SLA resources sharing in differentiated services networks based on effective bandwidth allocation
    Cheng, Y
    Zhuang, WH
    COMMUNICATIONS, INFORMATION AND NETWORK SECURITY, 2003, 712 : 361 - 382
  • [45] SDN enabled flexible optical data center network with dynamic bandwidth allocation based on photonic integrated wavelength selective switch
    Xue, Xuwei
    Nakamura, Fumi
    Prifti, Kristif
    Pan, Bitao
    Yan, Fulong
    Wang, Fu
    Guo, Xiaotao
    Tsuda, Hiroyuki
    Calabretta, Nicola
    OPTICS EXPRESS, 2020, 28 (06): : 8949 - 8958
  • [46] RESOURCE ALLOCATION MANAGEMENT IN PATIENT-TO-PHYSICIAN COMMUNICATIONS BASED ON DEEP REINFORCEMENT LEARNING IN SMART HEALTHCARE SERVICES
    Alelaiwi, Abdulhameed
    2020 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO WORKSHOPS (ICMEW), 2020,
  • [47] Energy-Efficient Resource Allocation for Machine-Type Communications in Smart Grid Based on a Matching With Externalities Approach
    Huang, Biyao
    Zhang, Chuntian
    Bai, Xiaomin
    Li, Jianqi
    Sun, Meng
    Kong, Wenxuan
    IEEE ACCESS, 2019, 7 : 104354 - 104364
  • [48] Co-Allocation of Service Routing in SDN-driven 5G IP+Optical Smart Grid Communication Networks based on Deep Reinforcement Learning
    Ma, Qingliu
    Xiong, Ao
    Yu, Peng
    Guo, Shaoyong
    Xing, Ningzhe
    Li, Wenjing
    Feng, Lei
    Xue-Song, Qiu
    2020 16TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE, IWCMC, 2020, : 868 - 873
  • [49] AI Services-Oriented Dynamic Computing Resource Scheduling Algorithm Based on Distributed Data Parallelism in Edge Computing Network of Smart Grid
    Zou, Jing
    Xin, Peizhe
    Wang, Chang
    Zhang, Heli
    Wei, Lei
    Wang, Ying
    FUTURE INTERNET, 2024, 16 (09)