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Optimal coordination of vehicle-to-grid batteries and renewable generators in a distribution system

Optimal coordination of vehicle-to-grid batteries and renewable generators in a distribution system
Optimal coordination of vehicle-to-grid batteries and renewable generators in a distribution system
The increasing penetration of electric vehicles (EVs) and renewable generators (RGs) in the power grid is an inevitable trend to combat air pollution and reduce the usage of fossil fuels. This will challenge distribution networks, which have constrained capacity. However, appropriate dispatch of electric vehicles via vehicle-to-grid (V2G) operation in coordination with the distributed renewable generators can provide support for the grid, reduce the reliance on traditional fossil-fuel generators and benefit EV users. This paper develops a novel agent-based coordinated dispatch strategy for EVs and distributed renewable generators, taking into account both grid's and EV users' concerns and priorities. This optimal dispatch problem is formulated as a distributed multi-objective constraint optimisation problem utilizing the Analytic Hierarchy Process and is solved using a dynamic-programming-based algorithm. The proposed strategy is tested on a modified UK Generic Distribution System (UKGDS). The electricity network model is simplified using a virtual sub-node concept to alleviate the computation burden of a node's agent. Simulation results demonstrate the feasibility and stability of this dispatch strategy.
vehicle-to-grid, distributed generators, optimal coordination, decentralized dispatch, dynamic programming
0360-5442
1250-1264
Wang, Lu
22f5289e-46aa-418f-bdf7-95b76c40d4ee
Sharkh, Suleiman
c8445516-dafe-41c2-b7e8-c21e295e56b9
Chipperfield, Andrew
524269cd-5f30-4356-92d4-891c14c09340
Wang, Lu
22f5289e-46aa-418f-bdf7-95b76c40d4ee
Sharkh, Suleiman
c8445516-dafe-41c2-b7e8-c21e295e56b9
Chipperfield, Andrew
524269cd-5f30-4356-92d4-891c14c09340

Wang, Lu, Sharkh, Suleiman and Chipperfield, Andrew (2016) Optimal coordination of vehicle-to-grid batteries and renewable generators in a distribution system. Energy, 113, 1250-1264. (doi:10.1016/j.energy.2016.07.125).

Record type: Article

Abstract

The increasing penetration of electric vehicles (EVs) and renewable generators (RGs) in the power grid is an inevitable trend to combat air pollution and reduce the usage of fossil fuels. This will challenge distribution networks, which have constrained capacity. However, appropriate dispatch of electric vehicles via vehicle-to-grid (V2G) operation in coordination with the distributed renewable generators can provide support for the grid, reduce the reliance on traditional fossil-fuel generators and benefit EV users. This paper develops a novel agent-based coordinated dispatch strategy for EVs and distributed renewable generators, taking into account both grid's and EV users' concerns and priorities. This optimal dispatch problem is formulated as a distributed multi-objective constraint optimisation problem utilizing the Analytic Hierarchy Process and is solved using a dynamic-programming-based algorithm. The proposed strategy is tested on a modified UK Generic Distribution System (UKGDS). The electricity network model is simplified using a virtual sub-node concept to alleviate the computation burden of a node's agent. Simulation results demonstrate the feasibility and stability of this dispatch strategy.

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More information

Accepted/In Press date: 29 July 2016
e-pub ahead of print date: 6 August 2016
Published date: 15 October 2016
Keywords: vehicle-to-grid, distributed generators, optimal coordination, decentralized dispatch, dynamic programming
Organisations: Mechatronics

Identifiers

Local EPrints ID: 398698
URI: http://eprints.soton.ac.uk/id/eprint/398698
ISSN: 0360-5442
PURE UUID: 9a348134-1245-421a-af22-b9372244a5d1
ORCID for Suleiman Sharkh: ORCID iD orcid.org/0000-0001-7335-8503
ORCID for Andrew Chipperfield: ORCID iD orcid.org/0000-0002-3026-9890

Catalogue record

Date deposited: 01 Aug 2016 09:01
Last modified: 15 Mar 2024 05:46

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Contributors

Author: Lu Wang
Author: Suleiman Sharkh ORCID iD

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