Karagiannopoulos, S, Aristidou, P orcid.org/0000-0003-4429-0225 and Hug, G (2018) A Centralised Control Method for Tackling Unbalances in Active Distribution Grids. In: 2018 Power Systems Computation Conference (PSCC). PSCC 2018, 11-15 Jun 2018, Dublin, Ireland. IEEE ISBN 978-1-910963-10-4
Abstract
Traditional distribution network operators are gradually being transformed to system operators, using modern technologies to ensure a secure and efficient operation in a rapidly changing and uncertain environment. One of their most challenging tasks is to tackle the unbalanced operation of low-voltage networks, traditionally caused by unequal loading and structural asymmetries, and exacerbated by the increased penetration of single-phase distributed energy resources. This paper proposes a centralized operation scheme based on a multi-period optimal power flow algorithm used to compute optimal set-points of the controllable distributed energy resources located in the system. The algorithm reduces the operational cost while satisfying the appropriate security and power quality constraints. Furthermore, the computational tractability of the algorithm and the incremental cost of tackling imbalances in the network are addressed. Finally, the performance of the proposed method is tested on an unbalanced low-voltage distribution network.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author produced version of a paper which has been accepted to the 20th Power Systems Computation Conference (PSCC 2018). |
Keywords: | active distribution network, three-phase multiperiod optimal power flow, backward forward sweep power flow, unbalanced operation, distributed energy resources |
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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Apr 2018 13:12 |
Last Modified: | 11 Oct 2018 11:50 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.23919/PSCC.2018.8442493 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:129149 |