Nodal Sensitivity-Based Smart Inverter Control for Voltage Regulation in Distribution Feeder

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Date

2021

Authors

Ceylan, Oğuzhan
Paudyal, Sumit
Pisica, Ioana

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE Electron Devices Society

Open Access Color

BRONZE

Green Open Access

Yes

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Publicly Funded

No
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Top 10%
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Top 10%
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Top 10%

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Abstract

Overvoltage is one of the issues in distribution grids with high penetration of photovoltaics (PVs). Centralized or droop-based methods of active power curtailment (APC) and/or reactive power control of PVs are viable solutions to prevent overvoltage. This article proposes two distributed methods to control PV inverters, which are based on nodal sensitivities. Then, the performance of the proposed methods is compared with two commonly used control methods, i.e., a distributed method that follows IEEE-1547 but uses arbitrarily chosen droops and a centralized optimal power flow (OPF) based method. Performance is evaluated using a 730-node feeder with up to 100% penetration of inverters. Based on the case studies, the key findings are: first, local droop setting as per IEEE-1547, whether the droops are arbitrarily chosen or systematically calculated using sensitivities, can eliminate overvoltage if reactive power control and APC are coordinated, second, the proposed sensitivity-based approach yields the best voltage performance index computed based on voltage profile compared to the maximum allowed upper bound, and third, OPF-based method is desirable if communication infrastructure exists and minimum energy curtailment is sought.

Description

Keywords

Distribution grid, Inverters, Load modeling, optimal power flow (OPF), overvoltage, photovoltaic (PV), Reactive power, Reactive power control, Sensitivity, smart inverter, Voltage control, Voltage measurement, smart inverter, Load modeling, distribution grid, Reactive power control, voltage control, Distribution grid, Reactive power, Voltage measurement, Inverters, photovoltaic (PV), 620, overvoltage, Sensitivity, Voltage control, optimal power flow (OPF)

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Fields of Science

02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering

Citation

WoS Q

Q3

Scopus Q

Q1
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OpenCitations Citation Count
22

Source

IEEE Journal of Photovoltaics

Volume

11

Issue

Start Page

1105

End Page

1113
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Citations

Scopus : 29

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Mendeley Readers : 27

SCOPUS™ Citations

29

checked on Feb 06, 2026

Web of Science™ Citations

25

checked on Feb 06, 2026

Page Views

3

checked on Feb 06, 2026

Downloads

139

checked on Feb 06, 2026

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