journal article·2026-04-10Open access

Phase-Aware Predictive Scheduling for Harmonic Hosting in Low-Voltage EV Feeders: An Integrated Decision Framework

Paul Arévalo-Cordero, Danny Ochoa-Correa, Dario Benavides, Esteban Albornoz-Vintimilla, Juan L. Espinoza

Applied Sciences· Volume 16· Issue 8

Abstract

Fast charging of electric vehicles can introduce phase-dependent harmonic distortion and voltage unbalance in low-voltage feeders, which may reduce admissible charging capacity even when voltage magnitudes remain within conventional limits. This paper proposes a phase-aware predictive scheduling framework for harmonic hosting management in feeders with a high penetration of electric vehicle charging. The proposed method formulates feeder operation as a predictive decision problem that jointly determines charging power levels, phase allocation, and the selective activation of multifunctional compensation resources under harmonic distortion, voltage unbalance, and neutral-current constraints. Unlike previous studies centered on harmonic characterization, static hosting assessment, or local converter-level mitigation, the proposed approach treats harmonic hosting as an active feeder-level network management problem. The framework is evaluated through time-series harmonic power-flow simulations using charger harmonic emission profiles and realistic feeder parameters. The numerical results indicate that coordinated phase-aware scheduling can increase admissible charging capacity, improve compliance margins for power-quality indices, and reduce mitigation efforts with respect to uncontrolled charging and non-coordinated compensation strategies. Overall, the results support the use of phase-aware scheduling as a feeder-level strategy to improve electric vehicle charging integration under harmonic and unbalanced constraints.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Electric Vehicles and Infrastructure · Power Quality and Harmonics · Wireless Power Transfer Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical Engineering, Electronics and Telecommunications, Universidad de Cuenca, Cuenca 010101, Ecuador

Department of Electrical Engineering, University of Jaén, 23700 Linares, Spain

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