ADMM-based Distributed OPF Problem Meets Stochastic Communication Delay

Xu, Jiangjiao; Sun, Hongjian; Dent, Chris

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
• Public URL: https://durham-repository.worktribe.com/output/1313293