Fairness-Oriented Volt–Watt Control Methods of PV Units for Over-Voltage Suppression in PV-Enriched Smart Cities

The higher integration of photovoltaic (PV) units is an inevitable component of smart city development. Thanks to smart meter devices that can record the exchange of power between the grid and customers, it is expected that homeowners and businesses will tend to install PV arrays on their rooftops and parking lots to benefit from selling power back to the grid. However, the overvoltage issue resulting from high PV penetration is a major challenge that necessitates the active power curtailment of PV units to ensure power grid stability. Fairness-oriented methods aim to minimize the active power of PV units as much as possible, adopting a fairer approach, and then address the PV owner’s satisfaction with fair profit and loss. Maintaining voltage within a limited standard range under very low load conditions while prioritizing PV inverters’ participation in reactive power contribution and attempting to ensure fairer curtailment of active power presents challenges to existing control design approaches. This paper presents twelve new volt–watt curve design methods to achieve these goals and address the challenges. The methods yield polynomial curves, piecewise linear curves, and single linear curves. A unique voltage sensitivity value for each PV inverter is used to determine the control region area and the slope of the curve at the starting point in certain instances. The effectiveness of the proposed methods is discussed by evaluating their capabilities on the 37-bus IEEE system.

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Publication Details

Journal
Smart Cities
Published
2025-05-26
DOI
https://doi.org/10.3390/smartcities8030088
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Fairness-Oriented Volt–Watt Control Methods of PV Units for Over-Voltage Suppression in PV-Enriched Smart Cities

Chris Diduch, Tohid Rahimi, Julián Cárdenas-Barrera, Shafait Ahmed
Smart Cities
Smart Grid Energy Management
article

Fairness-Oriented Volt–Watt Control Methods of PV Units for Over-Voltage Suppression in PV-Enriched Smart Cities

Chris Diduch, Tohid Rahimi, Julián Cárdenas-Barrera, Shafait Ahmed
article en

Abstract

The higher integration of photovoltaic (PV) units is an inevitable component of smart city development. Thanks to smart meter devices that can record the exchange of power between the grid and customers, it is expected that homeowners and businesses will tend to install PV arrays on their rooftops and parking lots to benefit from selling power back to the grid. However, the overvoltage issue resulting from high PV penetration is a major challenge that necessitates the active power curtailment of PV units to ensure power grid stability. Fairness-oriented methods aim to minimize the active power of PV units as much as possible, adopting a fairer approach, and then address the PV owner’s satisfaction with fair profit and loss. Maintaining voltage within a limited standard range under very low load conditions while prioritizing PV inverters’ participation in reactive power contribution and attempting to ensure fairer curtailment of active power presents challenges to existing control design approaches. This paper presents twelve new volt–watt curve design methods to achieve these goals and address the challenges. The methods yield polynomial curves, piecewise linear curves, and single linear curves. A unique voltage sensitivity value for each PV inverter is used to determine the control region area and the slope of the curve at the starting point in certain instances. The effectiveness of the proposed methods is discussed by evaluating their capabilities on the 37-bus IEEE system.

Smart CitiesVol. 8(3)
University of New Brunswick (CA)
Mitacs, Atlantic Canada Opportunities Agency, Emera
Openalex Percentile: Top 90%
Smart Grid Energy Management
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Fairness-Oriented Volt–Watt Control Methods of PV Units for Over-Voltage Suppression in PV-Enriched Smart Cities — Chris Diduch, Tohid Rahimi, et al. · Smart Cities (2025) | TGRS Research Map | TGRS