A-based optimal coordination of vehicle-to-grid batteries and renewable generators in a distribution network
A-based optimal coordination of vehicle-to-grid batteries and renewable generators in a distribution network
The increasing integration of Electric vehicles (EVs) and renewable generators (RGs) is an inevitable trend in power system development to control the release of greenhouse gases and pollution and reduce dependence on fossil fuels. This will challenge distribution networks, which have constrained capacities, due to the intrinsic intermittence of renewable power and additional charging load demand of EVs. However, appropriate dispatch of EVs via vehicle-to-grid (V2G) operation in coordination with RGs can solve the stability issues and provide operational support for the power grid and benefit both environment and EV users. This paper utilizes the A∗ search procedure for the first time to solve the optimal decentralized coordinated dispatch problem of RGs and EVs, which is formulated as a distributed multi-objective constraint optimisation problem using the Analytic Hierarchy Process. Both power grid and EV users' concerns and priorities are taken into account. The proposed algorithm is tested on a radial distribution network, a modified UK generic distribution system (UKGDS). The simulation results demonstrate the feasibility and stability of the proposed A∗-based optimal coordinated dispatch strategy.
A∗, Decentralized dispatch, Renewable energy, Vehicle-to-grid
43-50
Wang, Lu
a67c8d01-75e7-45f9-84a6-b879eafbf4f8
Sharkh, Suleiman
c8445516-dafe-41c2-b7e8-c21e295e56b9
Chipperfield, Andy
524269cd-5f30-4356-92d4-891c14c09340
3 August 2017
Wang, Lu
a67c8d01-75e7-45f9-84a6-b879eafbf4f8
Sharkh, Suleiman
c8445516-dafe-41c2-b7e8-c21e295e56b9
Chipperfield, Andy
524269cd-5f30-4356-92d4-891c14c09340
Wang, Lu, Sharkh, Suleiman and Chipperfield, Andy
(2017)
A-based optimal coordination of vehicle-to-grid batteries and renewable generators in a distribution network.
In Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017.
IEEE.
.
(doi:10.1109/ISIE.2017.8001221).
Record type:
Conference or Workshop Item
(Paper)
Abstract
The increasing integration of Electric vehicles (EVs) and renewable generators (RGs) is an inevitable trend in power system development to control the release of greenhouse gases and pollution and reduce dependence on fossil fuels. This will challenge distribution networks, which have constrained capacities, due to the intrinsic intermittence of renewable power and additional charging load demand of EVs. However, appropriate dispatch of EVs via vehicle-to-grid (V2G) operation in coordination with RGs can solve the stability issues and provide operational support for the power grid and benefit both environment and EV users. This paper utilizes the A∗ search procedure for the first time to solve the optimal decentralized coordinated dispatch problem of RGs and EVs, which is formulated as a distributed multi-objective constraint optimisation problem using the Analytic Hierarchy Process. Both power grid and EV users' concerns and priorities are taken into account. The proposed algorithm is tested on a radial distribution network, a modified UK generic distribution system (UKGDS). The simulation results demonstrate the feasibility and stability of the proposed A∗-based optimal coordinated dispatch strategy.
This record has no associated files available for download.
More information
Published date: 3 August 2017
Additional Information:
Publisher Copyright:
© 2017 IEEE.
Venue - Dates:
26th IEEE International Symposium on Industrial Electronics, ISIE 2017, , Edinburgh, Scotland, United Kingdom, 2017-06-18 - 2017-06-21
Keywords:
A∗, Decentralized dispatch, Renewable energy, Vehicle-to-grid
Identifiers
Local EPrints ID: 470270
URI: http://eprints.soton.ac.uk/id/eprint/470270
PURE UUID: eccfe0d9-b354-43fe-8bcf-6f4e4e72ecf2
Catalogue record
Date deposited: 05 Oct 2022 16:40
Last modified: 17 Mar 2024 02:56
Export record
Altmetrics
Contributors
Author:
Lu Wang
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
