Computer Science ›› 2020, Vol. 47 ›› Issue (6A): 289-293.doi: 10.11896/JsJkx.190800050

• Computer Network • Previous Articles     Next Articles

Research on Intelligent Multi-mode Gonverged Gateway Device Based on AMI

XIAO Yong1, JIN Xin1, WANG Li-bo2 and LUO Hong-xuan1   

  1. 1 Electric Power Research Institute,CSG,Guangzhou 510663,China2 School of Aeronautics & Astronautics,University of Electronic Science and Technology of China,Chengdu 611731,China
  • Published:2020-07-07
  • About author:XIAO Yong, Ph.D, senior engineer.His main research interests include electric energy measurement, and intelligent electricity.
    WANG Li-bo, postgraduate.His main research interests include heterogeneous integrated network.

Abstract: With the development of smart grid and the improvement of customer’s demand for power quality requirements,nowdays,a variety of communication technologies are suitable for automatic meter reading systems of power grid systems,and diffe-rent communication technologies have their own advantages and disadvantages,so they respectively support mainstream services of the power grid.This leads to problems that it is difficult to form mutual communication between different communication systems in the power grid system,and it is in convenient for unified management and resource scheduling.In response to these problems,this paper studied the multi-service multi-mode convergede gateway device based on AMI (Advanced Metering Infrastructure) intelligent measurement system.Firstly,it introduces the hardware and interface design of the converged gateway,and realizes unified access of various modules in different communication system through common interfaces.Secondly,the fusion gateway protocol system is analyzed,and the protocol parsing below layer L2 and the unified network transport protocol above layer L2 are designed.Finally,device implementation and related network testing are performed in typical application scenarios.

Key words: Advanced metering infrastructure, Automatic meter reading, Converged gateway, Intelligent measurement system, Multi-service, Smart grid

CLC Number: 

  • TN8
[1] HOU X Z,LIU X Z,ZHENG K.Technical prospect of a new generation smart meter in the ubiquitous power internet of things enviroment.Electrical Measurement & Instrumentation:1-4.http://kns.cnki.net/kcms/detail/23.1202.TH.20190719.1435.008.html.
[2] XIAO Y,ZHANG J,DANG S L.Design of Power Line Carrier Communication Testing System for Smart Metering.Electrical Measurement & Instrumentation,2014,51(13):14-20.
[3] MARIMUTHU K P,DURAIRAJ D,SRINIVASAN S K.Development and implementation of advanced metering infrastructure for efficient energy utilization in smart grid environment.International Transactions on Electrical Energy Systems,2018,28(3).
[4] RODRIGUEZ-CALVO A,COSSENT R,FRAS P.Integration of PV and EVs in unbalanced residential LV networks and implications for the smart grid and advanced metering infrastructure deployment.International Journal of Electrical Power and Energy Systems,2017,91.
[5] MAO X J,ZHENG G H,WU R Q.Research on Mobile Multi-protocol Fusion Gateway Technology.Computer Engineering,2013,39(10):110-115.
[6] LI J Q,AN C Y,LI X.Research on Virtual MAC-based Power Lines and Wireless Communication Network Fusion and Traffic Allocation Strategy.High Voltage Engineering,2019,45(6):1689-1696.
[7] LIU Z,OU Q H.Research on Power Line Carrier and Wireless Integrated Communication for Smart Distribution Network.Electric Power Information and Communication Technology,2016,14(2):1-6.
[8] SUN Y Z,HU J S,LIU Y N.Research on Power Communication Network Based on LORA.Information & Communications,2018(2):218-220.
[9] LI D,YANG Z,LIU H X.Design of LoRaWAN Integrated Gateway System Based on Embedded Linux.Microcontrollers & Embedded Systems,2019,19(7):10-14.
[10] WANG H.Research on Application of Wireless Communication Technology in Intelligent Distribution Network.Electronic Test,2019(11):92-93,87.
[1] XIAO Ding, ZHANG Yu-fan, JI Hou-ye. Electricity Theft Detection Based on Multi-head Attention Mechanism [J]. Computer Science, 2022, 49(1): 140-145.
[2] XIAO Yong, JIN Xin, FENG Jun-hao. Cross-layer Matching Mechanism of Link Communication Rate for Heterogeneous Communication in Power System [J]. Computer Science, 2021, 48(11A): 495-499.
[3] WANG Yi-rou,ZHANG Da-min,XU Hang,SONG Ting-ting,FAN Ying. Spectrum Allocation Strategy for Neighborhood Network Based Cognitive Smart Grid [J]. Computer Science, 2020, 47(3): 267-272.
[4] ZHAN Xiong, GUO Hao, HE Xiao-yun, LIU Zhou-bin, SUN Xue-jie, CHEN Hong-song. Research on Security Risk Assessment Method of State Grid Edge Computing Information System [J]. Computer Science, 2019, 46(11A): 428-432.
[5] ZHANG Yan-yu. On Packet Detection Algorithm of G3-PLC Specification with Narrow-band Powerline Noise Interference [J]. Computer Science, 2015, 42(Z11): 310-312.
[6] WU Zhe-fu,JIN Teng-fei and ZHU Jian-jun. Multi-service QoS-based Cross-layer Scheduling Algorithm in LTE System [J]. Computer Science, 2014, 41(Z6): 312-315.
[7] YAO Ji-ming,LIANG Yun,LI Bin-lin and HUANG Li. Research Progress and Development Trend of Cognitive Radio for Smart Grid [J]. Computer Science, 2013, 40(Z11): 50-52.
[8] . Research on Data Storage for Smart Grid Condition Monitoring Using Hadoop [J]. Computer Science, 2013, 40(1): 81-84.
[9] . Classi行ing Communication Dispatch System Logs of Smart Grid Based on Active Semi-supervised Learning [J]. Computer Science, 2012, 39(12): 171-176.
[10] LI Qi-lin, ZHOU Ming-tian. Research on Cloud Computing in Smart Grid [J]. Computer Science, 2011, 38(Z10): 432-433.
[11] GENG Wei-jian,XU Xiao-long,Li Ling-juan,CHEN Jian-xin,YANG Geng. Data Model for Intelligent Community Power [J]. Computer Science, 2011, 38(Z10): 412-415.
[12] QIU Gong-an,ZHANG Shi-bing,ZHOU Li-heng. Dynamic Decision Domain Based Admission Control Algorithm for Multi-service Network [J]. Computer Science, 2010, 37(8): 92-94.
[13] ZHANG Xiao-tong LI Pei-ya WANG Qin DU Li-guo (Information Engineering School,University of Science and Technology Beijing, Beijing 100083,China). [J]. Computer Science, 2009, 36(1): 68-70.
[14] . [J]. Computer Science, 2005, 32(10): 27-30.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!