光伏-直流智能充电桩有序充电策略与应用效果

doi:10.11930/j.issn.1004-9649.202305101

中国电力 ›› 2024, Vol. 57 ›› Issue (5): 70-77.DOI: 10.11930/j.issn.1004-9649.202305101

• 新型电力系统源网荷储灵活资源运营及关键技术 • 上一篇下一篇

光伏-直流智能充电桩有序充电策略与应用效果

丁屹峰¹(), 曾爽¹(), 张宝群¹(), 王立永¹(), 刘畅¹(), 付智²(), 张吉²()

1. 国网北京市电力公司电力科学研究院，北京　100075
2. 清华大学建筑学院，北京　100084

收稿日期:2023-05-23 接受日期:2023-10-27 出版日期:2024-05-28 发布日期:2024-05-16
作者简介:丁屹峰（1971—），男，博士，高级工程师（教授级），从事综合能源和电能替代研究，E-mail：happytime_2001@163.com
曾爽（1985—），男，硕士，高级工程师，从事综合能源和电能替代研究，E-mail：zengshuang@bj.sgcc.com.cn
张宝群（1982—），男，博士，高级工程师，从事综合能源和电动汽车研究，E-mail：zhangbaoqun@bj.sgcc.com.cn
王立永（1973—），男，博士，高级工程师，从事综合能源和电网调控研究，E-mail：wangliyongb@bj.sgcc.com.cn
刘畅（1993—），女，硕士，助理工程师，从事综合能源和电能替代研究，E-mail：chang121417@hotmail.com
付智（2000—），男，博士研究生，从事V2 B系统研究，E-mail：fuz18@mails.tsinghua.edu.cn
张吉（1993—），女，通信作者，博士，助理研究员，从事建筑新能源系统与建筑节能研究，E-mail：zjthu@tsinghua.edu.cn
基金资助:
国网北京市电力公司科技项目（考虑碳排放责任的光储直柔建筑柔性调控关键技术研究与示范，52022322001T）。

Orderly Charging Strategy and Application Effect of PV-DC Intelligent EV Chargers

Yifeng DING¹(), Shuang ZENG¹(), Baoqun ZHANG¹(), Liyong WANG¹(), Chang LIU¹(), Zhi FU²(), Ji ZHANG²()

1. State Grid Beijing Electric Power Research Institute, Beijing 100075, China
2. School of Architecture, Tsinghua University, Beijing 100084, China

Received:2023-05-23 Accepted:2023-10-27 Online:2024-05-28 Published:2024-05-16
Supported by:
This work is supported by the Science & Technology Project of State Grid Beijing Electric Power Company (Research on Flexible Control Technology of PEDF Buildings Based on Carbon Emission Responsibility Factors, No.52022322001T).

摘要/Abstract

摘要：

在双碳目标的指引下，建筑屋顶可作为分布式光伏的重要场景，同时汽车电动化是交通领域减碳的关键举措。然而，大量光伏出力和电动汽车充电需求在时间上的不匹配，给电网稳定性带来较大压力。提出一种光伏-直流智能充电桩的有序充电策略，在满足充电需求的基础上，减少外网供电，可有效提高光伏自消纳能力和负荷满足率。以北京市某办公建筑为例，通过实验测试和模拟计算，分析了不同天气条件下系统运行效果。结果表明，该充电策略可以完全利用建筑光伏满足电动汽车充电需求，无须向外网取电，即负荷满足率可达100%。与传统恒功率充电方式相比，光伏消纳率提高了42%，光伏最大并网功率下降了54%，为建筑光伏高效利用和交通领域电气化提供借鉴和参考。

关键词: 充电桩, 有序充电策略, 电动汽车, S2V, 直流系统

Abstract:

To achieve the goal of carbon peaking and carbon neutrality , building rooftops can be an important scenario for distributed photovoltaics, and electrification of vehicles is a key measure for carbon reduction in the transportation sector. However, the large amount of photovoltaic output and electric vehicle charging demand are mismatched in time, which puts great pressure on the stability of the power grid. This paper proposes an orderly charging strategy for photovoltaic-direct current (PV-DC) intelligent charging station, which can reduce external power supply while meeting charging demand, thus effectively improving the photovoltaic self-consumption capacity and load satisfaction rate. Taking an office building in Beijing as an example, the system performance and technical advantages under different working conditions were analyzed through actual testing and simulation calculations. The results show that the proposed strategy can fully utilize the building photovoltaics to meet the electric vehicle charging demand without the need for external power supply. The load satisfaction rate can reach 100%. Compared with the traditional constant power charging method, the photovoltaic self-consumption rate increased by 42%, while the maximum photovoltaic grid-connected power decreased by 54%. The proposed strategy can provide a reference and guidance for the efficient utilization of building photovoltaics and the electrification of the transportation industry.

Key words: EV charger, orderly charging strategy, electric vehicle, S2V, DC system

丁屹峰, 曾爽, 张宝群, 王立永, 刘畅, 付智, 张吉. 光伏-直流智能充电桩有序充电策略与应用效果[J]. 中国电力, 2024, 57(5): 70-77.

Yifeng DING, Shuang ZENG, Baoqun ZHANG, Liyong WANG, Chang LIU, Zhi FU, Ji ZHANG. Orderly Charging Strategy and Application Effect of PV-DC Intelligent EV Chargers[J]. Electric Power, 2024, 57(5): 70-77.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202305101

https://www.electricpower.com.cn/CN/Y2024/V57/I5/70

图/表 8

图 1 系统拓扑结构

Fig.1 System topology

图 2 实验系统拓扑与场地实景

Fig.2 Experimental system topology and site photo

图 3 指令功率与实际功率偏差示意

Fig.3 Schematic diagram of deviation between command power and actual power

图 4 光伏充足日系统供用电情况

Fig.4 System power supply and consumption in the scenario of sufficient photovoltaic power

图 5 光伏充足日充电功率与车电池情况

Fig.5 Charging power and vehicle battery condition in the scenario of sufficient photovoltaic power

图 6 光伏不足日系统供用电情况

Fig.6 System power supply and consumption in the scenario of insufficient photovoltaic power

图 7 光伏不足日充电功率与车电池情况

Fig.7 Charging power and vehicle battery condition in the scenario of insufficient photovoltaic power

图 8 模拟的典型日恒功率与变功率数据

Fig.8 Constant power and variable power data simulated of representative day

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光伏-直流智能充电桩有序充电策略与应用效果

Orderly Charging Strategy and Application Effect of PV-DC Intelligent EV Chargers

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光伏-直流智能充电桩有序充电策略与应用效果

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