电力系统保护与控制2024，Vol.52Issue(13)：25-34,10.DOI:10.19783/j.cnki.pspc.231193
基于数据模型双驱动的电动公交车多时段负荷建模和调节潜力评估
Multi-period load modeling and regulation potential assessment for electric buses based on data-driven and model-driven
摘要
Abstract
With the increase of the penetration rate of electric buses,it is more and more practical to study its charging load modeling and adjustable potential.Therefore,a multi-period load modeling and adjustable potential evaluation method for electric buses based on data-driven and model-driven is proposed.First,by analyzing the factors affecting the load characteristics,electric buses are classified based on their operational status,and a basis for period division is proposed.Secondly,the fitting function model is determined based on the historical data,and the parameters of the load model are determined in combination with the multi period charging characteristics of electric buses,and the multi period load analytical model of electric buses is established.Then,considering the demand constraints of the grid and user sides comprehensively,the changes in the number of electric buses that can participate in the regulation in each period are analyzed,and an analytical evaluation model of the multi-period adjustable potential is proposed.Finally,an example is verified with the actual historical data of the electric buses in a certain place.The results show that the load modeling and adjustable potential evaluation method has strong applicability and effectiveness,providing strong support for grid peak shaving and valley filling.关键词
电动公交车/曲线拟合/解析模型/多时段/调节潜力Key words
electric bus/curve fitting/mathematical model/multi-period/adjustable potential引用本文复制引用
何聪,耿建,刘建涛,徐鹏,朱凯文,张俊芳..基于数据模型双驱动的电动公交车多时段负荷建模和调节潜力评估[J].电力系统保护与控制,2024,52(13):25-34,10.基金项目
This work is supported by the Science and Technology Project of the Headquarters of State Grid Corporation of China"Research on Multiple Flexible Resources Collaborative Regulation Decision-making Technology for Promoting Distributed New Energy Consumption Capability"(No.5100-202119576A-0-5-SF). 国家电网公司总部科技项目资助"提升分布式新能源消纳能力的多元灵活资源协同调控决策技术研究"(5100-202119576A-0-5-SF) （No.5100-202119576A-0-5-SF）
