Low-voltage distribution network reconfiguration considering high penetration of electric vehicles:a UK case study


Network reconfiguration is one of the electricity network optimization techniques for losses reduction and load balancing by changing the open-closed status of sectionalized switches. In this paper, an application of network reconfiguration in low-voltage (LV) domestic distribution network with high penetration of electric vehicles (EVs) is presented. Firstly, high resolution time-series domestic load profiles are generated and validated with measured data at substation. Electric vehicle charging profiles at both fast and slow charging modes are modelled and produced. Then the impact of increasing penetration of EVs on the network thermal and voltage constraints is quantified. To optimize the network topology, suitable locations of newly-installed switches and their operational time are identified by branch-exchange method and exhaustive search algorithm (ESA) due to the small size of network and less potential location. The proposed approach is applied to two practical 400V LV distribution networks interconnected by underground linkboxes which are used to provide back-feeds during routine maintenances or emergency conditions. By adding new sectionalized switches, the LV network will obtain more operational flexibility and could better explore its potential for further study under Smart Grid scenarios.

Publication DOI: https://doi.org/10.1109/ICRERA.2016.7884426
Divisions: College of Engineering & Physical Sciences > Power Electronics, Machines and Power System (PEMPS)
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Event Title: 5th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2016
Event Type: Other
Event Dates: 2016-11-20 - 2016-11-23
Uncontrolled Keywords: distribution networks,electric vehicles,loss reduction,network reconfiguration,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment
ISBN: 978-1-5090-3388-1
Last Modified: 08 Jan 2024 09:53
Date Deposited: 26 Apr 2017 11:15
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2017-03-23
Accepted Date: 2016-11-01
Authors: Qiao, Zhi
Yang, Jin (ORCID Profile 0000-0002-1026-8495)



Version: Accepted Version

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