Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27494
Title: Modelling Smart Grid Technologies in Optimisation Problems for Electricity Grids
Authors: Giannelos, S
Borozan, S
Aunedi, M
Zhang, X
Ameli, H
Pudjianto, D
Konstantelos, I
Strbac, G
Keywords: coordinated voltage control;demand side response;dynamic line rating;electric vehicles;energy storage;grid to vehicle;vehicle to building;soft open point
Issue Date: 30-Jun-2023
Citation: Giannelos, S. et al. (2023) 'Modelling Smart Grid Technologies in Optimisation Problems for Electricity Grids', Energies, 16 (13), 5088, pp. 1 - 15. doi: 10.3390/en16135088.
Abstract: Copyright © 2023 by the authors. The decarbonisation of the electricity grid is expected to create new electricity flows. As a result, it may require that network planners make a significant amount of investments in the electricity grids over the coming decades so as to allow the accommodation of these new flows in a way that both the thermal and voltage network constraints are respected. These investments may include a portfolio of infrastructure assets consisting of traditional technologies and smart grid technologies. One associated key challenge is the presence of uncertainty around the location, the timing, and the amount of new demand or generation connections. This uncertainty unavoidably introduces risk into the investment decision-making process as it may lead to inefficient investments and inevitably give rise to excessive investment costs. Smart grid technologies have properties that enable them to be regarded as investment options, which can allow network planners to hedge against the aforementioned uncertainty. This paper focuses on key smart technologies by providing a critical literature review and presenting the latest mathematical modelling that describes their operation.
URI: https://bura.brunel.ac.uk/handle/2438/27494
DOI: https://doi.org/10.3390/en16135088
Other Identifiers: ORCID iD: Spyros Giannelos https://orcid.org/0000-0001-5299-9408
ORCID iD: Marko Aunedi https://orcid.org/0000-0002-8195-7941
ORCID iD: Hossein Ameli https://orcid.org/0000-0003-4056-9819
5088
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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