Journal article
Grid influenced peer-to-peer energy trading
- Abstract:
- This paper proposes a peer-to-peer (P2P) energy trading scheme that can help a centralized power system to reduce the total electricity demand of its customers at the peak hour. To do so, a cooperative Stackelberg game is formulated, in which the centralized power system acts as the leader that needs to decide on a price at the peak demand period to incentivize prosumers to not seek any energy from it. The prosumers, on the other hand, act as followers and respond to the leader's decision by forming suitable coalitions with neighboring prosumers in order to participate in P2P energy trading to meet their energy demand. The properties of the proposed Stackelberg game are studied. It is shown that the game has a unique and stable Stackelberg equilibrium, as a result of the stability of prosumers' coalitions. At the equilibrium, the leader chooses its strategy using a derived closed-form expression, while the prosumers choose their equilibrium coalition structure. An algorithm is proposed that enables the centralized power system and the prosumers to reach the equilibrium solution. Numerical case studies demonstrate the beneficial properties of the proposed scheme.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 889.3KB, Terms of use)
-
- Publisher copy:
- 10.1109/tsg.2019.2937981
Authors
+ National Natural Science Foundation of China
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- Funder identifier:
- https://ror.org/01h0zpd94
- Grant:
- 61750110529
+ Queensland Government
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- Funder identifier:
- https://ror.org/037405308
- Grant:
- AQRF11016-17RD2
+ U.S. National Science Foundation
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- Funder identifier:
- https://ror.org/021nxhr62
- Grant:
- ECCS-1824710
- Publisher:
- IEEE
- Journal:
- IEEE Transactions on Smart Grid More from this journal
- Volume:
- 11
- Issue:
- 2
- Pages:
- 1407-1418
- Publication date:
- 2019-08-28
- Acceptance date:
- 2019-08-24
- DOI:
- EISSN:
-
1949-3061
- ISSN:
-
1949-3053
- Language:
-
English
- Keywords:
- Pubs id:
-
1090156
- Local pid:
-
pubs:1090156
- Deposit date:
-
2025-12-19
- ARK identifier:
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2019
- Rights statement:
- © 2019 IEEE.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from IEEE at https://dx.doi.org/10.1109/tsg.2019.2937981
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