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  5. Open-DSOPF: An open-source optimal power flow formulation integrated with OpenDSS
 
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Open-DSOPF: An open-source optimal power flow formulation integrated with OpenDSS

Author(s)
Rigoni, Valentin  
Keane, Andrew  
Uri
http://hdl.handle.net/10197/26357
Date Issued
2020-08-06
Date Available
2024-06-25T16:18:50Z
Abstract
It has been widely demonstrated that active network management (ANM) strategies will be required to avoid the violation of network operational limits in distribution networks with a rich presence of distributed energy resources (DERs). With the characteristics of different ANM strategies been varied, e.g. centralized or decentralized, a platform where the benefits and drawbacks of multiple approaches can be easily quantified and benchmarked is required. This work introduces an open-source python-based package with a three-phase unbalanced optimal power flow (OPF) model that is automatically created by extracting the data available from any network modelled in OpenDSS. This OPF formulation is flexible, enabling to incorporate any DER model and modify the objective function and constraints, opening many simulation opportunities.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2020 IEEE
Subjects

Distributed energy re...

Distribution networks...

Optimization

Smart grids

Unbalanced power flow...

DOI
10.1109/PESGM41954.2020.9282125
Web versions
https://pes-gm.org/2020/
Language
English
Status of Item
Peer reviewed
Journal
2020 IEEE Power & Energy Society General Meeting (PESGM)
Conference Details
The 2020 IEEE Power & Energy Society (PES) General Meeting, Virtual Conference, 3-6 August 2020
ISBN
9781728155081
ISSN
1944-9925
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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Open-DSOPF research gate.pdf

Size

1.39 MB

Format

Adobe PDF

Checksum (MD5)

60392c1b30337c6ff2bccb0422369748

Owning collection
Electrical and Electronic Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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