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An agent-based approach to virtual power plants of wind generators and electric vehicles

An agent-based approach to virtual power plants of wind generators and electric vehicles
An agent-based approach to virtual power plants of wind generators and electric vehicles
Wind power is gaining in significance as an important renewable source of clean energy. However, due to their inherent uncertainty, wind generators are often unable to participate in the forward electricity markets like the more predictable and controllable conventional generators. Given this, virtual power plants (VPPs) are being advocated as a solution for increasing the reliability of such intermittent renewable sources. In this paper, we take this idea further by considering VPPs as coalitions of wind generators and electric vehicles, where wind generators seek to use electric vehicles (EVs) as a storage medium to overcome the vagaries of generation. Using electric vehicles in this manner has the advantage that, since the number of EVs is increasing rapidly, no initial investment in dedicated storage is needed. In more detail, we first formally model the VPP and then, through an operational model based on linear programming, we show how the supply to the Grid and storage in the EV batteries can be scheduled to increase the profit of the VPP, while also paying for the storage using a novel scheme. The feasibility of our approach is examined through a realistic case-study, using real wind power generation data, corresponding electricity market prices and electric vehicles’ characteristics.
1949-3053
1314-1322
Vasirani, M.
09d5a301-d0d1-42f3-8cd8-ccb3dfc30872
Kota, R.
533595f6-c1bc-48fc-b661-fa08aa69daf8
Cavalcante, R.L.G.
f0e12e72-9fd8-4599-ac09-19cd2e887d31
Ossowski, S
f893bbde-7db0-4cb0-a92e-02fbaa0253f7
Jennings, N.R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Vasirani, M.
09d5a301-d0d1-42f3-8cd8-ccb3dfc30872
Kota, R.
533595f6-c1bc-48fc-b661-fa08aa69daf8
Cavalcante, R.L.G.
f0e12e72-9fd8-4599-ac09-19cd2e887d31
Ossowski, S
f893bbde-7db0-4cb0-a92e-02fbaa0253f7
Jennings, N.R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30

Vasirani, M., Kota, R., Cavalcante, R.L.G., Ossowski, S and Jennings, N.R. (2013) An agent-based approach to virtual power plants of wind generators and electric vehicles. IEEE Transactions on Smart Grid, 4 (3), 1314-1322.

Record type: Article

Abstract

Wind power is gaining in significance as an important renewable source of clean energy. However, due to their inherent uncertainty, wind generators are often unable to participate in the forward electricity markets like the more predictable and controllable conventional generators. Given this, virtual power plants (VPPs) are being advocated as a solution for increasing the reliability of such intermittent renewable sources. In this paper, we take this idea further by considering VPPs as coalitions of wind generators and electric vehicles, where wind generators seek to use electric vehicles (EVs) as a storage medium to overcome the vagaries of generation. Using electric vehicles in this manner has the advantage that, since the number of EVs is increasing rapidly, no initial investment in dedicated storage is needed. In more detail, we first formally model the VPP and then, through an operational model based on linear programming, we show how the supply to the Grid and storage in the EV batteries can be scheduled to increase the profit of the VPP, while also paying for the storage using a novel scheme. The feasibility of our approach is examined through a realistic case-study, using real wind power generation data, corresponding electricity market prices and electric vehicles’ characteristics.

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More information

Published date: 2013
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 351001
URI: http://eprints.soton.ac.uk/id/eprint/351001
ISSN: 1949-3053
PURE UUID: 2eb4bfc9-5cc8-4b61-8f9d-26906d35db2b

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Date deposited: 12 Apr 2013 10:56
Last modified: 09 Dec 2019 20:03

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Contributors

Author: M. Vasirani
Author: R. Kota
Author: R.L.G. Cavalcante
Author: S Ossowski
Author: N.R. Jennings

University divisions

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