The Next Generation of Distribution Analysis Tools

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Paper number
2267
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Montenegro, Davis, EPRI, USA
Bello, Mobolaji, EPRI, USA
Dugan, Roger, EPRI, USA
Taylor, Jason, EPRI, USA
Smith, Jeff, EPRI, USA
Abstract
Distribution power systems are evolving due to emerging technologies such as intelligent electronic devices, smart inverters and distributed energy resources, among others. This implies that distribution engineers should have easy access to power system analysis tools that support the changing design, planning and operation of such systems. The power system analysis tools should harmonize the new technologies in a way that autonomous and interconnected systems can be automated, simultaneously operated and visualized for maximum grid benefit by distribution engineers.Classic analysis and planning based on static snapshots of loading is an inadequate practice for scheduling future investments in distribution systems and distribution management systems. This is a common practice that has been used for decades to maintain power systems in time; however, the needs mentioned above require the adoption of the modern computing technologies and interfaces; accelerating the analysis and providing to the distribution engineer the information to make the right choice.In this paper, we discuss the needs mentioned above, and propose a flexible framework to support the future distribution power systems analysis. This multidisciplinary framework is supported by a set of open source tools developed by EPRI for showing a modular approach to enable the next generation of distribution system analysis tools. These tools have been developed to evolve EPRI’s Open Source Distribution System Simulator OpenDSS to cover the needs of the future power system analysis.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/779
http://dx.doi.org/10.34890/1001
ISSN
2032-9644
ISBN
978-2-9602415-0-1