ADMM-based Distributed OPF Problem Meets Stochastic Communication Delay

Xu, Jiangjiao; Sun, Hongjian; Dent, Chris

doi:10.1109/tsg.2018.2873650

ADMM-based Distributed OPF Problem Meets Stochastic Communication Delay

Xu, Jiangjiao; Sun, Hongjian; Dent, Chris

Authors

Jiangjiao Xu

Professor Hongjian Sun hongjian.sun@durham.ac.uk
Professor

Chris Dent

Abstract

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.

Citation

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. https://doi.org/10.1109/tsg.2018.2873650

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
DOI	https://doi.org/10.1109/tsg.2018.2873650

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