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Title: Cyber–Physical Modeling of Distributed Resources for Distribution System Operations

Journal Article · · Proceedings of the IEEE

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 work 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.

Research Organization:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office; USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Science (SC)
Contributing Organization:
Univ. of California, Berkeley, CA (United States)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1839456
Alternate ID(s):
OSTI ID: 1459370
Journal Information:
Proceedings of the IEEE, Journal Name: Proceedings of the IEEE Vol. 104 Journal Issue: 4; ISSN 0018-9219
Publisher:
Institute of Electrical and Electronics EngineersCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 28 works
Citation information provided by
Web of Science