ADMM-based Distributed OPF Problem Meets Stochastic Communication Delay

Jiangjiao Xu, Hongjian Sun, Christopher Dent

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)5046-5056
Number of pages11
JournalIEEE Transactions on Smart Grid
Issue number5
Early online date3 Oct 2018
Publication statusPublished - 30 Sep 2019


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