A Battery Energy Storage Sizing Method for Parking Lot Equipped With EV Chargers

被引:10
作者
Bin Irshad, Usama [1 ]
Nizami, Mohammad Sohrab Hasan [1 ]
Rafique, Sohaib [1 ]
Hossain, M. Jahangir [2 ]
Mukhopadhyay, Subhas Chandra [1 ]
机构
[1] Macquarie Univ, Sch Engn, Macquarie Pk, NSW 2109, Australia
[2] Univ Technol Sydney, Sch Elect & Data Engn, Ultimo, NSW 2007, Australia
来源
IEEE SYSTEMS JOURNAL | 2021年 / 15卷 / 03期
关键词
Batteries; Electric vehicle charging; Optimization; Reliability; Degradation; Electric vehicle (EV); battery energy storage; sizing method; shopping center parking lots (SCPLs); ELECTRIC VEHICLES; POWER; CONSUMPTION; BEHAVIOR; SYSTEM;
D O I
10.1109/JSYST.2020.3009695
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Parking lots (PLs) equipped with electric vehicle (EV) chargers will be the most convenient places for EV users to charge their cars. However, there is a high degree of unpredictability around how car parks are used, especially shopping center parking lots (SCPLs). Moreover, the cluster charging of EVs in PLs may destabilise the grid. The application of a battery energy storage system (BESS) in PLs is a potential way to reduce the impact of EV charging on the grid. This article proposes an approach for estimating the size of a stationary BESS for PLs in a constrained grid. At first, the intermittent charging demand of EVs is determined by considering the travel patterns, charging needs, and driver behavior of EVs. Then, a region reduction method combined with nonlinear optimization is proposed to estimate the optimal size of the BESS such that the capital cost and operational cost of the SCPL are minimized. The proposed sizing method 1) ensures the maximum utilization of the stationary BESS; 2) avoids over/undersizing; 3) reduces operational costs; and 4) maintains; the reliability of the system. The applicability of the proposed method is shown by simulating different cases, characterized by real household travel survey data and shopping center car park occupancy data.
引用
收藏
页码:4459 / 4469
页数:11
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