Cyber-Physical Modeling of Distributed Resources for Distribution System Operations

• Published in: Proceedings of the IEEE Vol. 104; no. 4; pp. 789 - 806
• Main Authors: Chatzivasileiadis, Spyros, Kiliccote, Sila, Bonvini, Marco, Matanza, Javier, Yin, Rongxin, Nouidui, Thierry S., Kara, Emre C., Parmar, Rajiv, Lorenzetti, David, Wetter, Michael
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); Institute of Electrical and Electronics Engineers
• Subjects: Buildings; Communication networks; Complex systems; Cosimulation; Couplings; demand response (DR); DigSILENT PowerFactory; Electric utilities; functional mockup interface (FMI); load flow; Load modeling; Mathematical model; modelica; OMNeT; Power distribution; Power grids; Power systems; Smart grids; Supply and demand; demand response (DR); functional mockup interface (FMI); OMNeT; modelica; Cosimulation; load flow; DigSILENT PowerFactory
• ISSN: 0018-9219; 1558-2256; 1558-2256
• DOI: 10.1109/JPROC.2016.2520738

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.