RESEARCH ON PLANNING METHOD FOR PHOTOVOLTAIC-STORAGE-CHARGING INTEGRATED ELECTRIC VEHICLE CHARGING STATIONS

被引：0

作者：

Shi, Ruifeng ^{[1
,2
]}

Chang, Tai ^{[1
]}

He, Zhe ^{[3
]}

Peng, Shuaikang ^{[1
]}

Ma, Xiaolei ^{[4
]}

Jia, Limin ^{[2
]}

机构：

[1] School of Control and Computer Engineering, North China Electric Power University, Beijing

[2] China Institute of Energy and Transportation Integrated Development, North China Electric Power University, Beijing

[3] Beijing Smartchip Microelectronics Technology Company Limited, Beijing

[4] College of Transportation Science and Engineering, Beihang University, Beijing

来源：

Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2025年 / 46卷 / 05期

关键词：

charging stations; energy storage; highway service areas; planning; queuing theory; solar energy;

D O I：

10.19912/j.0254-0096.tynxb.2024-0023

中图分类号：

学科分类号：

摘要：

Based on the realistic operation scenario of the photovoltaic-storage-charging integrated EV charging stations in western highway service areas，we establish a dynamic queuing optimization model for the charging stations based on queuing theory，predict the charging load of charging stations by the Monte Carlo method，and construct a multi-objective optimization model for capacity allocation of photovoltaic units，energy storage units and charging piles with the objectives of minimizing the charging station’s equal annual economic cost and maximizing user satisfaction. Finally，a case study is carried out in Jinda Service Area of Lalin Expressway，and the model is solved using the improved MOPSO，successfully demonstrating the effectiveness of the proposed method. © 2025 Science Press. All rights reserved.

引用

页码：109 / 118

页数：9

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