电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2014年
14期
77-83,125
,共8页
路欣怡%刘念%汤庆峰%张建华
路訢怡%劉唸%湯慶峰%張建華
로흔이%류념%탕경봉%장건화
电动汽车换电站%充电机%动力电池%优化配置
電動汽車換電站%充電機%動力電池%優化配置
전동기차환전참%충전궤%동력전지%우화배치
electric vehicle battery swapping station%battery charger%electric vehicle battery%optimal configuration
动力电池换电模式由于其换电过程所需时长远小于充电过程、动力电池充电便于统一管理等优点,成为电动汽车能量补充的重要方式,推进换电站的建设有利于电动汽车的普及。针对可就地向动力电池组充电的换电站容量优化配置展开研究。首先介绍换电站的系统结构和“即换即充”的运行策略,提出服务可用性的评价指标;然后分析换电站运行状态的时序仿真模型,根据模型的输出量计算服务可用性指标;构建以设备年成本为目标函数、以换电站规模和服务可用性要求为约束的数学模型;采用微分进化(DE)算法对数学模型进行求解;最后对算例进行优化配置,随机抽取两日换电需求,计算换电站的可用性指标并分析各时段运行状态,对配置结果敏感性进行分析。
動力電池換電模式由于其換電過程所需時長遠小于充電過程、動力電池充電便于統一管理等優點,成為電動汽車能量補充的重要方式,推進換電站的建設有利于電動汽車的普及。針對可就地嚮動力電池組充電的換電站容量優化配置展開研究。首先介紹換電站的繫統結構和“即換即充”的運行策略,提齣服務可用性的評價指標;然後分析換電站運行狀態的時序倣真模型,根據模型的輸齣量計算服務可用性指標;構建以設備年成本為目標函數、以換電站規模和服務可用性要求為約束的數學模型;採用微分進化(DE)算法對數學模型進行求解;最後對算例進行優化配置,隨機抽取兩日換電需求,計算換電站的可用性指標併分析各時段運行狀態,對配置結果敏感性進行分析。
동력전지환전모식유우기환전과정소수시장원소우충전과정、동력전지충전편우통일관리등우점,성위전동기차능량보충적중요방식,추진환전참적건설유리우전동기차적보급。침대가취지향동력전지조충전적환전참용량우화배치전개연구。수선개소환전참적계통결구화“즉환즉충”적운행책략,제출복무가용성적평개지표;연후분석환전참운행상태적시서방진모형,근거모형적수출량계산복무가용성지표;구건이설비년성본위목표함수、이환전참규모화복무가용성요구위약속적수학모형;채용미분진화(DE)산법대수학모형진행구해;최후대산례진행우화배치,수궤추취량일환전수구,계산환전참적가용성지표병분석각시단운행상태,대배치결과민감성진행분석。
Battery swapping has become one of the most important ways to supply energy to electric vehicles (EVs),since it takes a very short time to replace fully recharged EV battery (EVB) packs and is convenient to manage.It leads to growing market penetration of the EVs to develop the battery swapping station (BSS).The optimal capacity configuration of electric vehicle battery swapping station,which is able to recharge the depleted EVB packs locally,is studied.Firstly,the system structure of the swapping station system as well as the operation strategy of“charge and swap"is described and two evaluation indices of service availability are proposed.Secondly,the timing simulation model for swapping station operation states is analyzed.According to the output of the model,service availability indices are calculated.A mathematical model is developed, with the equipment annual cost as the objective function and the scale and service availability as the constraints.The differential evolution(DE) algorithm is used to solve the mathematical model.Finally,the optimal configuration of a case in point is made.With two different days” swapping demand randomly taken,the indices of swapping service availability are calculated and the state of the BSS in each period is analyzed.And the sensitivity of the result of configuration is briefly treated. This work is supported by National Natural Science Foundation of China(No.5 1277067)and the Project of Capital SCI &TEC Resources Platform (No.Z131 1 10000613053).