Multiperiod der coordination using admm-based three-block distributed ac optimal power flow considering inverter volt-var control
Abstract
The uptake of behind-the-meter distributed energy resources (DER) raises the likelihood of voltage problems in low-voltage distribution networks. Network operators increasingly require solar inverters to provide reactive power support using Volt-Var control (VVC) to reduce voltage stress. However, VVC can cause instability in real-time control because of its instantaneous response to voltage deviations, which has been previously addressed using delayed control methods. Coincidentally, optimization-based multiperiod DER coordination faces a similar problem, where numerical oscillations can prevent the convergence of a distributed algorithm. This paper aims to fill this gap by proposing a distributed three-block algorithm, based on the alternating direction method of multipliers (ADMM), for solving the DER coordination problem using AC optimal power flow (OPF) with VVC constraints. This approach decomposes the network at the prosumer level, resulting in an aggregator, a prosumer, and a VVC block. A key feature of the proposed algorithm is the introduction of carefully tuned delays in the VVC block update to circumvent unstable numerical behavior. This novel approach is numerically demonstrated to solve the distributed OPF problem to feasible solutions with (i) objective function values within less than 2.5% compared to those from centralized computations for tractable cases, (ii) robustness against changes in load/generation profiles and steepness of VVC curves, and (iii) an al…
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Distributed VVC approaches aim to reduce the communication and computational burden of fully centralized OPF while still exploiting network information and coordination among devices.
“These methods aim to reduce the communication and computational burden of fully centralized OPF while still exploiting network information and coordination among devices.”
From Physics-Informed AI-Based EV smart inverter control for two-stage Volt/Var coordination in renewable-rich active distribution networks (2026) · cites this paper as [16]
Cites
Karagiannopoulos, S., Aristidou, P., & Hug, G. (2019) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2019.2905348 · Cited by 162 · see citing works
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Zhong, Y., Qiu, J., Yang, Y., Zhang, C., Tao, Y., Sun, X., & Lai, S. (2026) · Energy and AI · doi:10.1016/j.egyai.2026.100869
- Authors
- Gebbran, D., Mhanna, S., Chapman, A. C., & Verbič, G.
- Affiliations
- Department of Energy Sciences, Equilibrium Energy, Chicago, USA
- The University of Melbourne (AU)
- The University of Queensland (AU)
- The University of Sydney (AU)
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2023-07
- Volume
- 14
- Issue
- 4
- Pages
- 2874-2889
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W4312899259
- Cited by
- 38
- References
- 1
- Citations by year
- 2026: 13 · 2025: 10 · 2024: 7 · 2023: 8
- FWCI
- 1.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Smart Grid (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
- Keywords
- distributed energy resources, behind-the-meter generation, volt/var control, AC optimal power flow, alternating direction method of multipliers, distributed optimization, spurious oscillations, time-delayed control, prosumers, low-voltage distribution networks, voltage regulation, convergence stability
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