光伏系统
调度(生产过程)
汽车工程
储能
整数规划
网格
计算机科学
电动汽车
充电站
数学优化
可靠性工程
工程类
功率(物理)
电气工程
算法
物理
量子力学
数学
几何学
作者
Yijun He,Jinhua Shen,Chengwu Liu,Zi‐Feng Ma,Yijun He
出处
期刊:Energy
[Elsevier]
日期:2024-02-01
卷期号:289: 129991-129991
被引量:3
标识
DOI:10.1016/j.energy.2023.129991
摘要
The implementation of an optimal power scheduling strategy is vital for the optimal design of the integrated electric vehicle (EV) charging station with photovoltaic (PV) and battery energy storage system (BESS). However, traditional design methods always neglect accurate PV power modeling and adopt overly simplistic EV charging strategies, which might result in suboptimal and infeasible designs. This study proposes a novel simultaneous capacity configuration and scheduling optimization model for PV/BESS integrated EV charging stations, which combines hybrid modeling for PV power prediction and optimal scheduling method for charging piles. The original model is then converted to a mixed integer linear programming problem by the Big-M method to greatly reduce the computational complexity. A typical scenario of commercial region is employed to demonstrate the effectiveness of the proposed approach. The results indicate that the approach could improve economic benefits by 15.67 % and reduce carbon emissions by 37.14 % compared with the entire grid-based mode. Besides, integrating the PV hybrid modeling method and optimal charging scheduling strategy could achieve superior capacity configurations and greatly improve the comprehensive performance of the system. It is thus illustrated that the approach could provide a promising solution for the optimal design and scheduling of PV/BESS integrated EV charging stations.
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