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ADMM-based Distributed OPF Problem Meets Stochastic Communication Delay

Xu, Jiangjiao; Sun, Hongjian; Dent, Chris

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Jiangjiao Xu

Chris Dent


An increasing number of distributed generators (DGs) will penetrate into the distribution power system in future smart grid, thus a centralized control strategy cannot effectively optimize the power loss problem in real-time. This paper examines the idea of a fully distributed Optimal Power Flow (OPF) approach, based on the alternating direction multiplier method (ADMM), to optimize the power loss. The objectives are not only to effectively obtain the minimization of power loss, but also to analyze the effect of communication time-delay on optimization performance. Both synchronous and asynchronous iterative algorithms are proposed to solve the OPF problem. In addition, four different strategies are proposed to improve convergence speed when delay occurs. The proposed weighted autoregressive (AR) strategy can reduce the fluctuation effectively. In comparison with synchronous algorithm, simulation results show that the asynchronous algorithm has a better optimization result.


Xu, J., Sun, H., & Dent, C. (2019). ADMM-based Distributed OPF Problem Meets Stochastic Communication Delay. IEEE Transactions on Smart Grid, 10(5), 5046-5056.

Journal Article Type Article
Acceptance Date Sep 25, 2018
Online Publication Date Oct 3, 2018
Publication Date Sep 30, 2019
Deposit Date Sep 27, 2018
Publicly Available Date Sep 28, 2018
Journal IEEE Transactions on Smart Grid
Print ISSN 1949-3053
Electronic ISSN 1949-3061
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 10
Issue 5
Pages 5046-5056


Accepted Journal Article (956 Kb)

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