Ojo, Y and Schiffer, JF orcid.org/0000-0001-5639-4326 (2017) Towards a time-domain modeling framework for small-signal analysis of unbalanced microgrids. In: 2017 IEEE Manchester PowerTech. 12th IEEE PES PowerTech Conference, 18-22 Jun 2017, Manchester, UK. IEEE ISBN 978-1-5090-4237-1
Abstract
Small-signal analysis is one of the most frequently used techniques to assess the operating conditions of power systems. Typically, this analysis is conducted by employing a phasor-based model of the power network derived under the assumption of balanced operating conditions. However, distribution networks and, amongst these, microgrids are often unbalanced. Hence, their analysis requires the development of tools and methods valid under such conditions. Motivated by this, we propose a modeling approach for generic nonlinear and unbalanced three-phase microgrids, which allows to derive a small-signal model in a standard fashion. The approach is based on a time-domain decomposition of the electrical waveforms in positive and negative synchronous reference frames. The efficacy of the approach is demonstrated via application to an exemplary unbalanced microgrid.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Microgrids, Power system stability, Analytical models, Standards, Stability analysis, Time-domain analysis, Mathematical model; unbalanced power systems, small-signal analysis, time-domain modeling of power systems |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Funding Information: | Funder Grant number EU - European Union GA 734832 |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Apr 2017 12:23 |
Last Modified: | 12 Sep 2017 21:59 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/PTC.2017.7981013 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:114880 |