{"title":"Robust electric bus charging in photovoltaic-energy storage systems with dual uncertainties","authors":"Hong Gao , Kai Liu , Jian Zhao , Liyuan Zhao","doi":"10.1016/j.trd.2025.104888","DOIUrl":null,"url":null,"abstract":"<div><div>This study optimizes the charging schedule of electric buses (EBs) within a photovoltaic-energy storage system (PESS) to address dual uncertainties in energy consumption and photovoltaic generation. Both deterministic and robust models are developed to minimize costs related to grid electricity, energy storage, and carbon emissions. Uncertainty sets with budget parameters are employed to control solution conservativeness. Case studies using real data from Zhengzhou, China reveal that the deterministic model with PESS reduces daily total costs by 25.04% and carbon emissions by 94.35% compared to traditional charging systems (TCS). The two uncertainties demonstrate significant cumulative effects, with photovoltaic uncertainty showing greater impact than consumption uncertainty. Sensitivity analyses provide operational insights, including maintaining additional 200 kWh storage capacity during photovoltaic uncertainty periods, setting off-peak electricity prices above storage costs to promote photovoltaic self-consumption, and prioritizing PESS implementation at stations with space-constrained charging facilities where vehicle-to-charging pile ratios exceed 9.5:1.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104888"},"PeriodicalIF":7.3000,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920925002986","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
This study optimizes the charging schedule of electric buses (EBs) within a photovoltaic-energy storage system (PESS) to address dual uncertainties in energy consumption and photovoltaic generation. Both deterministic and robust models are developed to minimize costs related to grid electricity, energy storage, and carbon emissions. Uncertainty sets with budget parameters are employed to control solution conservativeness. Case studies using real data from Zhengzhou, China reveal that the deterministic model with PESS reduces daily total costs by 25.04% and carbon emissions by 94.35% compared to traditional charging systems (TCS). The two uncertainties demonstrate significant cumulative effects, with photovoltaic uncertainty showing greater impact than consumption uncertainty. Sensitivity analyses provide operational insights, including maintaining additional 200 kWh storage capacity during photovoltaic uncertainty periods, setting off-peak electricity prices above storage costs to promote photovoltaic self-consumption, and prioritizing PESS implementation at stations with space-constrained charging facilities where vehicle-to-charging pile ratios exceed 9.5:1.
期刊介绍:
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.