Energy peer-to-peer trading in virtual microgrids in smart grids: a game-theoretic approach

Anoh, Kelvin ORCID: 0000-0002-2538-6945, Maharjan, Sabita, Ikpehai, Augustine, Zhang, Yan and Adebisi, Bamidele (2019) Energy peer-to-peer trading in virtual microgrids in smart grids: a game-theoretic approach. IEEE Transactions on Smart Grid. ISSN 1949-3053

[img]
Preview
Text
Accepted.pdf - Accepted Version

Download (904kB) | Preview
Official URL: https://ieeexplore.ieee.org/document/8796424

Abstract

Traditionally, energy consumers pay non-commodity charges (e.g. transmission, environmental and network costs) as a major component of their energy bills. With the distributed energy generation, enabling energy consumption close to producers can minimize such costs. The physically constrained energy prosumers in power networks can be logically grouped into virtual microgrids (VMGs) using communication systems. Prosumer benefits can be optimised by modelling the energy trading interactions among producers and consumers in a VMG as a Stackelberg game in which producers lead and consumers follow. Considering renewable (RES) and non-renewable energy (nRES) resources, and given that RES are unpredictable thus unschedulable, we also describe cost and utility models that include load uncertainty demands of producers. The results show that under Stackelberg equilibrium (SE), the costs incurred by a consumer for procuring either the RES or nRES are significantly reduced while the derived utility by producer is maximized. We further show that when the number of prosumers in the VMG increases, the CO2 emission cost and consequently the energy cost are minimized at the SE. Lastly, we evaluate the peer-to-peer (P2P) energy trading scenario involving noncooperative energy prosumers with and without Stackelberg game. The results show that the P2P energy prosumers attain 47% higher benefits with Stackelberg game.

Item Type: Article
Additional Information: Authors accepted version of article to be published in IEEE Transactions on Smart Grid,2019 © Copyright 2019 IEEE
Uncontrolled Keywords: CO2 emission, communication, energy trading, non-cooperative game, non-renewable energy, peer-to-peer, Stackelberg game, virtual microgrid.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: School of Engineering
Depositing User: Dr Kelvin Anoh
Date Deposited: 12 Nov 2019 08:33
Last Modified: 13 Nov 2019 08:35
Identification Number: 10.1109/TSG.2019.2934830
URI: http://ubir.bolton.ac.uk/id/eprint/2437

Actions (login required)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics

>