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Distributed adaptive primal algorithm for P2P-ETS over unreliable communication links

Jogunola, O; Adebisi, B; Anoh, K; Ikpehai, A; Hammoudeh, M; Harris, GD; Gacanin, H

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Authors

O Jogunola

B Adebisi

K Anoh

A Ikpehai

M Hammoudeh

GD Harris

H Gacanin



Abstract

Algorithms for distributed coordination and control are increasingly being used in smart grid applications including peer-to-peer energy trading and sharing to improve reliability and efficiency of the power system. However, for realistic deployment of these algorithms, their designs should take into account the suboptimal conditions of the communication network, in particular the communication links that connect the energy trading entities in the energy network. This study proposes a distributed adaptive primal (DAP) routing algorithm to facilitate communication and coordination among proactive prosumers in an energy network over imperfect communication links. The proposed technique employs a multi-commodity flow optimization scheme in its formulation with the objective to minimize both the communication delay and loss of energy transactional messages due to suboptimal network conditions. Taking into account realistic constraints relating to network delay and communication link capacity between the peers, the DAP routing algorithm is used to evaluate network performance using various figures of merit such as probability of signal loss, message delay, congestion and different network topologies. Further, we address the link communication delay problem by redirecting traffic from congested links to less utilized ones. The results show that the proposed routing algorithm is robust to packet loss on the communication links with a 20% reduction in delay compared with hop-by-hop adaptive link state routing algorithm.

Citation

Jogunola, O., Adebisi, B., Anoh, K., Ikpehai, A., Hammoudeh, M., Harris, G., & Gacanin, H. (2018). Distributed adaptive primal algorithm for P2P-ETS over unreliable communication links. Energies, 11(9), 2331. https://doi.org/10.3390/en11092331

Journal Article Type Article
Acceptance Date Aug 31, 2018
Publication Date Sep 4, 2018
Deposit Date Oct 14, 2020
Publicly Available Date Oct 14, 2020
Journal Energies
Publisher MDPI
Volume 11
Issue 9
Pages 2331
DOI https://doi.org/10.3390/en11092331
Publisher URL https://doi.org/10.3390/en11092331
Related Public URLs http://www.mdpi.com/journal/energies
Additional Information Funders : Engineering and Physical Sciences Research Council (EPSRC);Manchester Metropolitan University
Grant Number: EP/N03466X/1

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