Leveraging Electric School Buses for Peak Load Reduction in Distribution Systems: A Stochastic Two-Stage Optimization Model

Electric school buses (ESBs) are becoming increasingly widespread due to their health benefits, environmental friendliness, and incentives supporting the transition to net-zero emissions. This study proposes a novel stochastic two-stage optimization-based model to minimize the peak currents in a distribution system (DS) by leveraging the flexibility provided by vehicle-to-grid (V2G)-enabled ESBs. The model reduces peak current levels in a two-stage process, delaying potential upgrades within the DS while also accounting for the associated system costs. The proposed model’s performance is evaluated using real-world data and scenario-based simulations. Results demonstrate that peak current levels can be significantly reduced with only a 1.88% increase in total costs, highlighting the model’s effectiveness in optimizing DS operations.

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Publication Details

Published
2025-06-29
DOI
https://doi.org/10.1109/powertech59965.2025.11180228
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
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article

Leveraging Electric School Buses for Peak Load Reduction in Distribution Systems: A Stochastic Two-Stage Optimization Model

Javier Contreras, Pablo Diaz-Cachinero, Gregorio Muñoz-Delgado, Hilmi Cihan Güldorum
Smart Grid Energy Management
article

Leveraging Electric School Buses for Peak Load Reduction in Distribution Systems: A Stochastic Two-Stage Optimization Model

Javier Contreras, Pablo Diaz-Cachinero, Gregorio Muñoz-Delgado, Hilmi Cihan Güldorum
article en

Abstract

Electric school buses (ESBs) are becoming increasingly widespread due to their health benefits, environmental friendliness, and incentives supporting the transition to net-zero emissions. This study proposes a novel stochastic two-stage optimization-based model to minimize the peak currents in a distribution system (DS) by leveraging the flexibility provided by vehicle-to-grid (V2G)-enabled ESBs. The model reduces peak current levels in a two-stage process, delaying potential upgrades within the DS while also accounting for the associated system costs. The proposed model’s performance is evaluated using real-world data and scenario-based simulations. Results demonstrate that peak current levels can be significantly reduced with only a 1.88% increase in total costs, highlighting the model’s effectiveness in optimizing DS operations.

Universidad Carlos III de Madrid (ES), University of Castilla-La Mancha (ES)
Openalex Percentile: Top 72%
Smart Grid Energy Management
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