Meiting Tu , Xiyang Chu , Tongtong Shi , Dominique Gruyer , Ye Li
{"title":"智能光伏微电网调度共享自主网约车的潜力","authors":"Meiting Tu , Xiyang Chu , Tongtong Shi , Dominique Gruyer , Ye Li","doi":"10.1016/j.trd.2025.104822","DOIUrl":null,"url":null,"abstract":"<div><div>The integration of renewable energy, particularly solar power, has resulted in the “duck curve,” characterized by midday surpluses and evening demand peaks. The rise of electric vehicles (EVs) has further exacerbated this issue. However, few studies have optimized the charging and scheduling strategies of electric ride-hailing services in coordination with green energy. This study selects a typical research scenario of SAEVs (Shared Autonomous Electric Vehicles) and proposes a framework that incorporates dynamic charging and ride-hailing dispatching, with a focus on the impact of SAEVs on the power grid, photovoltaic power companies, and ride-hailing platforms under varying regional demands and weather conditions. The results demonstrate that photovoltaic utilization and total platform benefits can be increased by 32.8% and 6.62%, while achieving a peak-shaving and valley-filling benefit of 8.82% on sunny days. These findings underscore the potential of coordinated EV dispatching for grid stability and provide valuable insights for carbon neutrality strategies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104822"},"PeriodicalIF":7.3000,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Potential of scheduling shared autonomous ride-hailing in intelligent photovoltaic microgrids\",\"authors\":\"Meiting Tu , Xiyang Chu , Tongtong Shi , Dominique Gruyer , Ye Li\",\"doi\":\"10.1016/j.trd.2025.104822\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The integration of renewable energy, particularly solar power, has resulted in the “duck curve,” characterized by midday surpluses and evening demand peaks. The rise of electric vehicles (EVs) has further exacerbated this issue. However, few studies have optimized the charging and scheduling strategies of electric ride-hailing services in coordination with green energy. This study selects a typical research scenario of SAEVs (Shared Autonomous Electric Vehicles) and proposes a framework that incorporates dynamic charging and ride-hailing dispatching, with a focus on the impact of SAEVs on the power grid, photovoltaic power companies, and ride-hailing platforms under varying regional demands and weather conditions. The results demonstrate that photovoltaic utilization and total platform benefits can be increased by 32.8% and 6.62%, while achieving a peak-shaving and valley-filling benefit of 8.82% on sunny days. These findings underscore the potential of coordinated EV dispatching for grid stability and provide valuable insights for carbon neutrality strategies.</div></div>\",\"PeriodicalId\":23277,\"journal\":{\"name\":\"Transportation Research Part D-transport and Environment\",\"volume\":\"145 \",\"pages\":\"Article 104822\"},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2025-05-23\",\"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/S1361920925002329\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920925002329","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}
Potential of scheduling shared autonomous ride-hailing in intelligent photovoltaic microgrids
The integration of renewable energy, particularly solar power, has resulted in the “duck curve,” characterized by midday surpluses and evening demand peaks. The rise of electric vehicles (EVs) has further exacerbated this issue. However, few studies have optimized the charging and scheduling strategies of electric ride-hailing services in coordination with green energy. This study selects a typical research scenario of SAEVs (Shared Autonomous Electric Vehicles) and proposes a framework that incorporates dynamic charging and ride-hailing dispatching, with a focus on the impact of SAEVs on the power grid, photovoltaic power companies, and ride-hailing platforms under varying regional demands and weather conditions. The results demonstrate that photovoltaic utilization and total platform benefits can be increased by 32.8% and 6.62%, while achieving a peak-shaving and valley-filling benefit of 8.82% on sunny days. These findings underscore the potential of coordinated EV dispatching for grid stability and provide valuable insights for carbon neutrality strategies.
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.