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
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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)
Turkish CoHE Thesis Center URL
Fields of Science
02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering
Citation
WoS Q
Q3
Scopus Q
Q1

OpenCitations Citation Count
22
Source
IEEE Journal of Photovoltaics
Volume
11
Issue
Start Page
1105
End Page
1113
PlumX Metrics
Citations
Scopus : 29
Captures
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
Google Scholar™

OpenAlex FWCI
2.29203557
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