当前位置: X-MOL 学术IEEE Trans. Sustain. Energy › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Operational Planning of Centralized Charging Stations Utilizing Second-Life Battery Energy Storage Systems
IEEE Transactions on Sustainable Energy ( IF 8.6 ) Pub Date : 2020-06-09 , DOI: 10.1109/tste.2020.3001015
Youjun Deng , Yongxi Zhang , Fengji Luo , Yunfei Mu

Centralized Charging Station (CCS) provides a convenient charging and maintenance platform for providing battery charging and delivery services to serve Electric Vehicles (EVs)’ battery swapping demands at battery swapping points. This article proposes an operational planning framework for a CCS with integration of photovoltaic solar power sources and an Echelon Battery System (EBS) comprising batteries retired from EVs (known as CCS-PV-EBS). The system is characterized by secondary using retired batteries to support the centrally charging services to the serving batteries. A rolling horizon-based operation strategy is proposed for the CCS-PV-EBS, which consists of a battery charging demand determination process and a multi-objective optimization process. An effective solving approach based on Multi-Objective Natural Aggregation Algorithm (MONAA) is developed for the proposed model. Extensive numerical simulations are conducted to validate the proposed method.

中文翻译:

利用二次电池储能系统的中央充电站的运行计划

中央充电站(CCS)提供了一个便利的充电和维护平台,用于提供电池充电和交付服务,以满足电动汽车(EV)在电池交换点的电池交换需求。本文为CCS提出了一个运营计划框架,该CCS集成了光伏太阳能电源和包括从EV退役的电池(称为CCS-PV-EBS)的梯形电池系统(EBS)。该系统的特点是辅助使用退役电池来支持对服务电池的集中充电服务。针对CCS-PV-EBS,提出了基于滚动视野的运行策略,该策略由电池充电需求确定过程和多目标优化过程组成。针对该模型,提出了一种基于多目标自然聚集算法(MONAA)的有效求解方法。进行了广泛的数值模拟,以验证所提出的方法。
更新日期:2020-06-09
down
wechat
bug