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Lookup NU author(s): Dr Ilias Sarantakos, Dr Meltem Peker Sarhan, Dr Natalia Zografou-Barredo, Dr Matthew Deakin, Dr Haris Patsios, Professor Phil Taylor, Dr David Greenwood
This is the authors' accepted manuscript of an article that has been published in its final definitive form by IEEE, 2022.
For re-use rights please refer to the publisher's terms and conditions.
Soft open points (SOPs) are power electronic devices which can replace conventional normally open points in distribution networks. SOPs enable full control of active power flow between the interconnected feeders and can inject reactive power at each node to which they are connected. SOPs integrated with energy storage (ES) have been recently proposed to realize both spatial and temporal flexibility in active distribution networks. The flexibility provided by integrated ES-SOP devices will allow network operators to run their networks closer to their limits, but only if there is appropriate management of the uncertainty arising from demand and renewable generation. The only existing model of an ES-SOP uses nonconvex nonlinear equations, neglects uncertainty, and represents converter losses in an oversimplistic manner. This paper presents a robust mixedinteger convex model for the optimal scheduling of integrated ES-SOPs to ensure a zero probability of constraint violation. Losses of the subsystems comprising the ES-SOP are modelled using a proposed binary-polynomial model, enabling efficient scheduling of the energization state of subsystems to reduce no-load losses. The ES-SOP is considered in this paper to be owned by the network operator to: 1) manage power flow constraints, 2) minimize cost of losses, and 3) maximize arbitrage profit.
Author(s): Sarantakos I, Peker M, Zografou-Barredo N, Deakin M, Patsios C, Sayfutdinov T, Taylor P, Greenwood D
Publication type: Article
Publication status: Published
Journal: IEEE Transactions on Smart Grid
Year: 2022
Pages: E-Pub ahead of Print
Online publication date: 24/01/2022
Acceptance date: 14/01/2022
Date deposited: 27/01/2022
ISSN (print): 1949-3053
ISSN (electronic): 1949-3061
Publisher: IEEE
URL: https://doi.org/10.1109/TSG.2022.3145709
DOI: 10.1109/TSG.2022.3145709
ePrints DOI: 10.57711/nwen-m586
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