Vega-Fuentes, E. , Yang, J. , Lou, C. and Meena, N. K. (2021) Transaction-oriented dynamic power flow tracing for distribution networks – definition and implementation in GIS environment. IEEE Transactions on Smart Grid, 12(2), pp. 1303-1313. (doi: 10.1109/TSG.2020.3033625)
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Abstract
There is a growing interest from owners of distributed energy resources (DERs) to actively participate in the energy market through peer-to-peer (P2P) energy trading. Many strategies have been proposed to base P2P energy trading on. However, in those schemes neither the costs of assets usage nor the losses incurred are so far taken into account. This paper presents a transaction-oriented dynamic power flow tracing (PFT) platform for distribution networks (DNs) implemented in a geographic information system (GIS) environment. It introduces a new transaction model that quantifies the use of the DN, apportions the losses and unlocks a flexible use of the surplus generation enabling that prosumers can adopt simultaneously different mechanisms for participation in energy trading, maximizing renewable energy usage. The platform is also helpful for future distribution system operators (DSOs) to overcome the status invisibility of low voltage (LV) DNs, determine who makes use of the assets, debit the losses on them and explore the effects from new connections. A case study is conducted over the IEEE European LV Test Feeder. The tool provides a clear, intuitive, temporal and spatial assessment of the network operation and the resulting power transactions, including losses share and efficiency of DERs.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Yang, Dr Jin and Vega, Mr Eduardo and Lou, Chengwei |
Authors: | Vega-Fuentes, E., Yang, J., Lou, C., and Meena, N. K. |
College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
Journal Name: | IEEE Transactions on Smart Grid |
Publisher: | IEEE |
ISSN: | 1949-3053 |
ISSN (Online): | 1949-3061 |
Published Online: | 26 October 2020 |
Copyright Holders: | Copyright © 2020 The Authors |
First Published: | First published in IEEE Transactions on Smart Grid 12(2): 1303-1313 |
Publisher Policy: | Reproduced under a Creative Commons License |
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