Cyber-Physical Modeling of Distributed Resources for Distribution System Operations

被引:32
|
作者
Chatzivasileiadis, Spyros [1 ]
Bonvini, Marco [2 ]
Matanza, Javier [3 ]
Yin, Rongxin [4 ]
Nouidui, Thierry S. [4 ]
Kara, Emre C. [4 ]
Parmar, Rajiv [4 ,5 ]
Lorenzetti, David [4 ]
Wetter, Michael [4 ]
Kiliccote, Sila [6 ]
机构
[1] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[2] Whiskerlabs, Oakland, CA 94612 USA
[3] Comillas Pontifical Univ, Madrid 28015, Spain
[4] Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Berkeley, CA 94720 USA
[5] Univ Calgary, Calgary, AB T1Y 4Z9, Canada
[6] SLAC Natl Accelerator Lab, Menlo Pk, CA 94025 USA
关键词
Cosimulation; demand response (DR); DigSILENT PowerFactory; functional mockup interface (FMI); load flow; modelica; OMNeT plus; SIMULATION; POWER; BUILDINGS;
D O I
10.1109/JPROC.2016.2520738
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
Cosimulation platforms are necessary to study the interactions of complex systems integrated in future smart grids. The Virtual Grid Integration Laboratory (VirGIL) is a modular cosimulation platform designed to study interactions between demand-response (DR) strategies, building comfort, communication networks, and power system operation. This paper presents the coupling of power systems, buildings, communications, and control under a master algorithm. There are two objectives: first, to use a modular architecture for VirGIL, based on the functional mockup interface (FMI), where several different modules can be added, exchanged, and tested; and second, to use a commercial power system simulation platform, familiar to power system operators, such as DIgSILENT PowerFactory. This will help reduce the barriers to the industry for adopting such platforms, investigate and subsequently deploy DR strategies in their daily operation. VirGIL further introduces the integration of the quantized state system (QSS) methods for simulation in this cosimulation platform. Results on how these systems interact using a real network and consumption data are also presented.
引用
收藏
页码:789 / 806
页数:18
相关论文
共 50 条
  • [1] Cyber-physical event reasoning for distributed energy resources
    Mueller, Nils
    Bao, Kaibin
    Heussen, Kai
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2024, 39
  • [2] System Modeling and Co-Emulation for Distributed Cyber-Physical System Environments
    Puryear, Nathan
    2023 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING, SMARTCOMP, 2023, : 245 - 246
  • [3] Fully Distributed Robust Optimal Control of Cyber-Physical Distribution System
    Chen, Guanhong
    Liu, Dong
    2022 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (I&CPS ASIA 2022), 2022, : 1747 - 1753
  • [4] Refined Modeling and Evaluation of Reliability for Cyber-Physical System of Distribution Network
    Lin D.
    Liu Q.
    Zeng G.
    Wang Z.
    Yu T.
    Yu, Tao (taoyu1@scut.edu.cn), 1600, Automation of Electric Power Systems Press (45): : 92 - 101
  • [5] Modeling Distributed Automation Systems in Cyber-Physical View
    Dai, Wenbin
    Chen, Cailian
    Vyatkin, Valeriy
    Guan, Xinping
    PROCEEDINGS OF THE 2015 10TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, 2015, : 989 - 994
  • [6] Analytical reliability assessment of cyber-physical distribution system with distributed feeder automation
    Zeng, Guangxuan
    Yu, Tao
    Wang, Ziyao
    Lin, Dan
    ELECTRIC POWER SYSTEMS RESEARCH, 2022, 208
  • [7] Survey of modeling methods in cyber-physical system
    Li R.-F.
    Yang F.
    Xie G.-Q.
    Huang J.
    Duan M.-Q.
    2016, Editorial Board of Journal on Communications (37): : 165 - 175
  • [8] SimConnect and SimTalk for distributed cyber-physical system simulation
    Pfeifer, Dylan
    Valvano, Jonathan
    Gerstlauer, Andreas
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2013, 89 (10): : 1254 - 1271
  • [9] Optimal Decomposition of Control of Distributed Cyber-physical System
    Dubovoi, Volodymyr
    Sembrat, Demian
    Yukhymchuk, Mariia
    PROCEEDINGS OF THE 11TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS (IDAACS'2021), VOL 2, 2021, : 601 - 605
  • [10] Vulnerability Assessment for Cyber-Physical System of Distribution Network in Distributed Cooperative Control Mode
    Li P.
    Liu Y.
    Xin H.
    Qi D.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2018, 42 (10): : 22 - 29and59