中国电机工程学报2025，Vol.45Issue(4)：1477-1487,中插20,12.DOI:10.13334/j.0258-8013.pcsee.231771
基于跨相式单相逆变器的牵引供电光伏储能系统多层解耦控制策略
Multi-layer Optimal Control Strategy for Traction Photovoltaic and Energy Storage System Based on Interphase Bridging Inverter-railway Energy Router
摘要
Abstract
The railway energy router(RER)is a crucial device in electrified railway systems,serving to improve power quality,recover braking energy,and utilize renewable energy.However,the conventional topology of RER requires transformers and inverters with doubled operational power capacity,leading to high costs and limiting industrial applicability.To tackle this issue,this paper proposes a novel interphase bridging inverter structure-based railway energy router(IBI-RER),with its AC side bridging the α-phase and β-phase traction bus and its DC side integrating photovoltaic power and energy storage.First,the operation principle and energy transfer mode of this structure are analyzed.To address the active and reactive power coupling resulting from the transition of the inverter's traditional two-port mode to the IBI-RER's three-port mode,a hardware decoupling method with reactive power compensation devices is proposed.Additionally,to manage multi-directional energy flows among the three ports for the IBI-RER,a multi-layer optimal control strategy is introduced.Finally,based on the typical operation conditions and the measured data,a comparative analysis with the conventional RER is performed.The results show that,under the same function,the proposed IBI-RER has the advantages of simple structure and lower cost.关键词
牵引供电系统/光伏发电系统/储能系统/再生制动/单逆变器跨相式铁路能量路由器/多层优化控制Key words
traction power supply system/photovoltaic/energy storage system/regenerative braking energy/interphase bridging inverter-railway energy router/multi-layer optimal control strategy分类
信息技术与安全科学引用本文复制引用
廉静如,戴朝华,姚志刚,陈维荣..基于跨相式单相逆变器的牵引供电光伏储能系统多层解耦控制策略[J].中国电机工程学报,2025,45(4):1477-1487,中插20,12.基金项目
北京市自然科学基金(L221002) （L221002）
四川省科技计划项目(2022NSFSC1899) （2022NSFSC1899）
国家自然科学基金项目(52107210). Natural Science Foundation of Beijing(L221002) （52107210）
Science and Technology Program of Sichuan Province(2022NSFSC1899) （2022NSFSC1899）
National Natural Science Foundation of China(52107210). （52107210）
