A distributed communication framework for smart Grid control applications based on data distribution service

被引:6
|
作者
Saxena, Shivam [2 ]
Farag, Hany E. Z. [1 ,2 ]
El-Taweel, Nader [2 ]
机构
[1] King Fahd Univ, Acad Belt Rd, Dhahran 31261, Saudi Arabia
[2] York Univ, Dept Elect Engn & Comp Sci, 4700 Keele St, Toronto, ON M3J 1P3, Canada
关键词
Data distribution service; Voltage regulation; Software-in-the-loop; Internet of Things (IoT); Multi-agent; Smart grid; SYSTEM; DISPATCH; HEAT;
D O I
10.1016/j.epsr.2021.107547
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
The successful implementation of multi-agent control strategies (MAS) within smart grid applications is heavily reliant on communication frameworks that enable robust inter-agent messaging. In this regard, a promising communication framework is Data Distribution Service (DDS), which is fully distributed, enables low-latency messaging, and provides configurable Quality of Service (QoS) profiles that customize messaging parameters. As such, this paper proposes a DDS-based, fully distributed communication framework (DCF) for smart grid applications. The proposed DCF is configured with QoS profiles that discard outdated messages when agents experience intermittent connection issues, thereby preventing the misaligned execution of distributed control strategies. The performance of the proposed DCF is validated by developing a Software-In-The-Loop platform, where agents utilize the DCF to execute the Asynchronous Weak Commitment (AWC) control strategy within the application of distributed voltage regulation. Experimental results show that the proposed DCF delivers messages at latencies between 4-36 milliseconds, which is sufficient for smart grid applications. The proposed DCF also enhances the efficacy of the AWC strategy when performing voltage regulation by discarding outdated messages and preventing unnecessary control actions in resolving voltage violations. The proposed DCF is validated at a real-world Canadian microgrid, where overvoltage violations are resolved in a timely manner.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Evolution of Communication Technologies for Smart Grid applications
    Usman, Ahmad
    Shami, Sajjad Haider
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 19 : 191 - 199
  • [32] A Stackelberg Game-Based Optimization Framework of the Smart Grid With Distributed PV Power Generations and Data Centers
    Wang, Yanzhi
    Lin, Xue
    Pedram, Massoud
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2014, 29 (04) : 978 - 987
  • [33] Distributed Algorithm for Tree-Structured Data Aggregation Service Placement in Smart Grid
    Lu, Zongqing
    Wen, Yonggang
    IEEE SYSTEMS JOURNAL, 2014, 8 (02): : 553 - 561
  • [34] Knowledge Based Architecture Serving As a Rigid Framework for Smart Grid Applications
    Mak, Sioe T.
    2010 INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2010,
  • [35] Cloud Computing Framework for Smart Grid Applications
    Bitzer, Berthold
    Gebretsadik, Enyew Sileshi
    2013 48TH INTERNATIONAL UNIVERSITIES' POWER ENGINEERING CONFERENCE (UPEC), 2013,
  • [36] DIRECTOR: A Distributed Communication Transport Manager for the Smart Grid
    Wilcox, James
    Kaleshi, Dritan
    Sooriyabandara, Mahesh
    2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2014, : 4227 - 4232
  • [37] A Distributed Control Paradigm for Smart Grid to Address Attacks on Data Integrity and Availability
    Farraj, Abdallah
    Hammad, Eman
    Kundur, Deepa
    IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2018, 4 (01): : 70 - 81
  • [38] Smart grid sensor data collection, communication, and networking: a tutorial
    Kayastha, Nipendra
    Niyato, Dusit
    Hossain, Ekram
    Han, Zhu
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2014, 14 (11) : 1055 - 1087
  • [39] SGsim: a Simulation Framework for Smart Grid Applications
    Awad, Abdalkarim
    Bazan, Peter
    German, Reinhard
    2014 IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON 2014), 2014, : 730 - 736
  • [40] Strategic Honeypot Game Model for Distributed Denial of Service Attacks in the Smart Grid
    Wang, Kun
    Du, Miao
    Maharjan, Sabita
    Sun, Yanfei
    IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (05) : 2474 - 2482