A Bounded Model of the Communication Delay for System Integrity Protection Schemes

被引:32
|
作者
Huang, Can [1 ]
Li, Fangxing [1 ]
Ding, Tao [2 ]
Jiang, Yuming [3 ]
Guo, Jiahui [1 ]
Liu, Yilu [1 ]
机构
[1] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA
[2] Xi An Jiao Tong Univ, Sch Elect Engn, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Shaanxi, Peoples R China
[3] Norwegian Univ Sci & Technol, Dept Telemat, N-7491 Trondheim, Norway
关键词
Communication delay; IEC; 61850; network calculus; system integrity protection scheme (SIPS); wide-area measurement system (WAMS); WIDE-AREA PROTECTION; NETWORK; ARCHITECTURE; TECHNOLOGY; RELAYS; DESIGN; IMPACT;
D O I
10.1109/TPWRD.2016.2528281
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper investigates the latency of system integrity protection schemes (SIPSs) and proposes a bounded model of the communication delay. To be specific, SIPSs can be divided into wide-area protection and substation-area protection. For the former, the data buffering of phasor data concentrators and the automatic protection switching of synchronous optical network/synchronous digital hierarchy are utilized to limit the latency of regional and backbone networks, respectively; then, the communication delay is modeled as bounded, instead of average or stochastic in the literature. For the latter, the network calculus theory is used to restrict the latency in switched Ethernet networks, and the communication delay is modeled as bounded. In practice, SIPSs need to preprogram the time delay of protective relays and expect the communication delay as predictable or predetermined. Hence, the proposed bounded model is more realistic than the average or stochastic model. Further, the bounded model suggests the network dynamics and worst-case performances. It can be a useful tool in the relay setting as well as in the planning, design, and assessment of SIPS networks.
引用
收藏
页码:1921 / 1933
页数:13
相关论文
共 50 条
  • [31] Consensus of Heterogeneous Multiagent Systems with Arbitrarily Bounded Communication Delay
    Li, Xue
    Wu, Huai
    Yang, Yikang
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 2017
  • [32] Communication and Trust in the Bounded Confidence Model
    Krawczyk, M. J.
    Malarz, K.
    Korff, R.
    Kulakowski, K.
    COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS, PT I, 2010, 6421 : 90 - +
  • [33] Bounded Consensus Tracking of Multi-Agent Systems with Communication Delay and Sampling Delay
    Li Li
    Fang Huajing
    PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 6071 - 6074
  • [34] Improvements in Existing System Integrity Protection Schemes Under Stressed Conditions by Synchrophasor Technology-Case Studies
    Ballal, Makarand Sudhakar
    Kulkarni, Amit Ramchandra
    IEEE ACCESS, 2021, 9 : 20788 - 20807
  • [35] Advanced Control and System Integrity Protection Schemes of Croatian Power Transmission Network with Integrated Renewable Energy Sources
    Zbunjak, Zoran
    Kuzle, Igor
    2013 IEEE EUROCON, 2013, : 706 - 711
  • [36] Network communication delay model and communication protocol of distributed real-time database system
    Lu, Yansheng
    Xie, Xiaodong
    Zhu, Yingwu
    Ruan Jian Xue Bao/Journal of Software, 1998, 9 (03): : 227 - 230
  • [37] A reliable, delay bounded and less complex communication protocol for multicluster FANETs
    Wajiya Zafar
    Bilal Muhammad Khan
    Digital Communications and Networks, 2017, 3 (01) : 30 - 38
  • [38] Decentralized control of discrete event systems with bounded or unbounded delay communication
    Tripakis, S
    WODES'02: SIXTH INTERNATIONAL WORKSHOP ON DISCRETE EVENT SYSTEMS, PROCEEDINGS, 2002, : 18 - 25
  • [39] A reliable, delay bounded and less complex communication protocol for multicluster FANETs
    Zafar, Wajiya
    Khan, Bilal Muhammad
    DIGITAL COMMUNICATIONS AND NETWORKS, 2017, 3 (01) : 30 - 38
  • [40] Time synchronization based on consensus in WSN with random bounded communication delay
    Yu S.-M.
    Zhou J.-Y.
    He D.-F.
    Zhao Y.-B.
    Kongzhi yu Juece/Control and Decision, 2020, 35 (05): : 1159 - 1166