Planning of Active Distribution Systems: Assessing the Impact of PV Inverter Volt-VAR Control on Reinforcement Strategies

Abstract The increasing photovoltaic (PV) penetration in distribution systems poses technical and economic challenges for both operation and planning. This paper proposes a short-term planning model formulated as a mixed-integer linear programming (MILP) problem that coordinates line reconductoring, allocation of fixed and switched capacitor banks (CBs), and installation of voltage regulators (VRs). The model incorporates PV inverters with Volt-VAR control (VVC), in accordance with the IEEE 1547-2018 standard, and represents the progressive evolution of load and distributed generation across three operational stages. The framework is validated on two distribution test systems with distinct characteristics: a 135-bus and the IEEE 123-bus feeders. The results show that, although both systems benefit from VVC, the effects on investment decisions are system-dependent. In the 135-bus feeder, the reactive support provided by smart inverters allows VRs to be eliminated once PV multiplying factor exceeds 1.6, while also reducing energy loss costs. In the IEEE 123-bus system, which exhibits a more pronounced voltage drop, the VR is installed regardless of VVC considerations; nonetheless, adopting PV-provided VVC allows deferral of investment in switched CBs, thereby reducing total planning costs. The proposed model, therefore, offers a flexible decision-support tool that adapts its reinforcement recommendations to each network.

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Publication Details

Journal
Journal of Control Automation and Electrical Systems
Published
2026-07-16
DOI
https://doi.org/10.1007/s40313-026-01305-6
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
0.00

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article

Planning of Active Distribution Systems: Assessing the Impact of PV Inverter Volt-VAR Control on Reinforcement Strategies

Benvindo R. Pereira Júnior, João Vitor G. De Araújo, João R. Muniz, Wandry R. Faria
Journal of Control Automation and Electrical Systems
Optimal Power Flow Distribution
article

Planning of Active Distribution Systems: Assessing the Impact of PV Inverter Volt-VAR Control on Reinforcement Strategies

Benvindo R. Pereira Júnior, João Vitor G. De Araújo, João R. Muniz, Wandry R. Faria
article en

Abstract

Abstract The increasing photovoltaic (PV) penetration in distribution systems poses technical and economic challenges for both operation and planning. This paper proposes a short-term planning model formulated as a mixed-integer linear programming (MILP) problem that coordinates line reconductoring, allocation of fixed and switched capacitor banks (CBs), and installation of voltage regulators (VRs). The model incorporates PV inverters with Volt-VAR control (VVC), in accordance with the IEEE 1547-2018 standard, and represents the progressive evolution of load and distributed generation across three operational stages. The framework is validated on two distribution test systems with distinct characteristics: a 135-bus and the IEEE 123-bus feeders. The results show that, although both systems benefit from VVC, the effects on investment decisions are system-dependent. In the 135-bus feeder, the reactive support provided by smart inverters allows VRs to be eliminated once PV multiplying factor exceeds 1.6, while also reducing energy loss costs. In the IEEE 123-bus system, which exhibits a more pronounced voltage drop, the VR is installed regardless of VVC considerations; nonetheless, adopting PV-provided VVC allows deferral of investment in switched CBs, thereby reducing total planning costs. The proposed model, therefore, offers a flexible decision-support tool that adapts its reinforcement recommendations to each network.

Journal of Control Automation and Electrical Systems
Universidade de São Paulo (BR), Borgess Medical Center (US)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Affordable and clean energy
Openalex Percentile: Top 15%
Optimal Power Flow Distribution
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