Cited by 83Optimal Power Flow DistributionMicrogrid Control and OptimizationSmart Grid Energy Management

Multi-objective hierarchically-coordinated volt/var control for active distribution networks with droop-controlled PV inverters

Xu, Ruipeng, Zhang, Cuo, Xu, Yan, Dong, Zhaoyang, Zhang, Rui·2022·IEEE Transactions on Smart Grid

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.

Integrity signals

Registry

Crossref · 10.1109/tsg.2021.3126761

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cited by

Sorted by citations

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
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review