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Distributed Optimal Power Flow for Unbalanced Radial Systems with Time-varying Communication

Apostolopoulou, D. ORCID: 0000-0002-9012-9910, Poudineh, R. & Sen, A. (2021). Distributed Optimal Power Flow for Unbalanced Radial Systems with Time-varying Communication. In: 2021 IEEE Power & Energy Society General Meeting (PESGM). IEEE Power and Energy Society General Meeting 2021, 25 -29 Jun 2021, Virtual. doi: 10.1109/PESGM46819.2021.9638227


This paper proposes a distributed multi-period optimal power flow (OPF) formulation for unbalanced three-phase radial distribution systems over time-varying communication networks. To this end, we model the three-phase unbalanced network, distributed generators (DG), and electric vehicles’ (EV) behaviour with inter-temporal constraints. Moreover, we represent the objectives of the distribution system operator and those of prosumers, e.g., who wish to minimise the cost of DG or the degradation cost of the EV batteries. We first formulate the centralised OPF that requires knowledge of DG costs; EV information in terms of desired energy, departure and arrival times that prosumers are reluctant in providing. Moreover, the computational effort required to solve the centralised OPF in cases of numerous DGs and EVs is very intensive. As such, we propose a distributed solution of the OPF over a time-varying communication network. We illustrate the proposed framework through a 33-bus distribution feeder.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments: School of Science & Technology > Engineering
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