Multi-objective hierarchically-coordinated volt/var control for active distribution networks with droop-controlled PV inverters
Abstract
Due to increasing installation of photovoltaic (PV) units, reactive power compensation from PV inverters contributes significantly to Volt/Var control (VVC) for active distribution networks. While PV inverters support VVC functions, lack of systematic coordination and heavily varying PV power generation lead to low control efficiency. To maximize benefits of the inverter-based VVC, this paper proposes a multi-objective hierarchically-coordinated VVC method with droop-controlled PV inverters. This method aims to minimize both average bus voltage deviation and network power loss, by simultaneously optimizing PV inverter reactive power setpoints for central control and droop control functions for local control. The droop control characteristics of PV inverters are fully modeled, including voltage ranges of the dead band and control zones, as well as droop slope gradients. In addition, this paper applies a Taguchi’s orthogonal array testing technique to handle random variations of PV power generation in the optimization problem. Moreover, to efficiently solve this optimization problem with integer variables, this paper proposes a solution algorithm based on model relaxation and a feasibility pump method. The proposed method is tested on two distribution systems, and simulation results verify highly efficient control performance in comparison with existing methods.
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The performance of hybrid VVC methods depends on the update rate of the supervisory layer, the fidelity of network models/sensitivities, and the ability to maintain feasibility under forecast errors and fast operational changes.
“nevertheless, their performance depends on the update rate of the supervisory layer, the fidelity of network models/sensitivities, and the ability to maintain feasibility under forecast errors and fast operational changes.”
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 [19]
Hybrid VVC approaches can substantially reduce computation and communication requirements compared with fully centralized OPF, while achieving better voltage regulation than fixed droop control.
“Overall, hybrid methods can substantially reduce computation and communication requirements compared with fully centralized OPF, while achieving better voltage regulation than fixed droop control”
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 [19]
Cited by
Sorted by citations
Voltage Optimization in PV-Rich Distribution Networks—A Review
Dubravac, M., Fekete, K., Topić, D., & Barukčić, M. (2022) · Applied Sciences · doi:10.3390/app122312426 · Cited by 26 · see citing works
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
Self-citation
- Authors
- Xu, R., Zhang, C., Xu, Y., Dong, Z., & Zhang, R.
- Affiliations
- UNSW Sydney (AU)
- Nanyang Technological University (SG)
- School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2022-03
- Volume
- 13
- Issue
- 2
- Pages
- 998-1011
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W3211464879
- Cited by
- 83
- References
- 0
- Citations by year
- 2026: 17 · 2025: 16 · 2024: 24 · 2023: 19 · 2022: 7
- FWCI
- 3.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Smart Grid (publishedVersion)
- DR-NTU (Nanyang Technological University) (submittedVersion)
- Funders
- ARC Research Hub for Integrated Energy Storage Solutions (IH180100020)
- Digital Grid Futures Institute, University of New South Wales Canberra
- Special funding for the Construction of Innovative Hunan Province (2019RS1045)
- Australian Government Research Training Program Scholarship
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Keywords
- volt/var control, active distribution networks, droop control, photovoltaic inverter, hierarchical control, multi-objective optimization, bus voltage deviation, power loss reduction, Taguchi orthogonal array, feasibility pump, integer programming
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