Mohsen Khorasany, Yateendra Mishra, Behrouz Babaki and Gerard Ledwich
Article (2019)
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Open Access to the full text of this document Published Version Terms of Use: Creative Commons Attribution Download (643kB) |
Abstract
This paper proposes an adaptive segmentation method as a market clearing mechanism for peer-to-peer (P2P) energy trading scheme with large number of market players. In the proposed method, market players participate in the market by announcing their bids. In the first step, players are assigned to different segments based on their features, where the balanced k-means clustering method is implemented to form segments. These segments are formed based on the similarity between players, where the amount of energy for trade and its corresponding price are considered as features of players. In the next step, a distributed method is employed to clear the market in each segment without any need to private information of players. The novelty of this paper relies on developing an adaptive algorithm for dividing large number of market players into multiple segments to enhance scalability of the P2P trading by reducing data exchange and communication overheads. The proposed approach can be used along with any distributed method for market clearing. In this paper, two different structures including community-based market and decentralized bilateral trading market are used to demonstrate the efficacy of the proposed method. Simulation results show the beneficial properties of the proposed segmentation method.
Uncontrolled Keywords
Subjects: |
2500 Electrical and electronic engineering > 2501 Power systems 2950 Applied mathematics > 2956 Optimization and optimal control theory |
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Department: | Department of Mathematics and Industrial Engineering |
PolyPublie URL: | https://publications.polymtl.ca/4972/ |
Journal Title: | Journal of Modern Power Systems and Clean Energy (vol. 7, no. 4) |
Publisher: | Springer Nature |
DOI: | 10.1007/s40565-019-0510-0 |
Official URL: | https://doi.org/10.1007/s40565-019-0510-0 |
Date Deposited: | 04 Jul 2022 16:13 |
Last Modified: | 11 Apr 2025 04:32 |
Cite in APA 7: | Khorasany, M., Mishra, Y., Babaki, B., & Ledwich, G. (2019). Enhancing scalability of peer-to-peer energy markets using adaptive segmentation method. Journal of Modern Power Systems and Clean Energy, 7(4), 791-801. https://doi.org/10.1007/s40565-019-0510-0 |
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