天气影响下基于风险评估的电动汽车光伏充电站需求响应
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作者单位:

长沙理工大学 电气与信息工程学院,长沙 410114

作者简介:

颜勤(1988—),女,博士,讲师,主要从事电动汽车及新能源接入电力系统运行优化研究,(E-mail) qin.yan@csust.edu.cn。

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基金项目:

卡塔尔国家研究基金资助项目(NPRP 8-241-2-095)。


Demand response of photovoltaic electric vehicle charging stations based on weather-impact risk assessment
Author:
Affiliation:

School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, P. R. China

Fund Project:

Supported by the Qatar National Research Fund (NPRP 8-241-2-095).

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    摘要:

    在“碳达峰、碳中和”背景下,新能源发电逐渐占主导地位,电动汽车数量增长显著,电动汽车光伏充电站将在需求响应方面有重要作用。该文提出一种天气影响下基于风险评估的电动汽车光伏充电站的需求响应方案,根据构建的“预测—预防—响应”三阶段流程图,结合电网及天气的地理信息系统(geographic information system, GIS)数据进行多层时空数据整合分析,作出风险地图;并据此进行天气对用户影响的风险评估,对装备有光伏发电的电动汽车充电站的运行成本进行建模,优化充电站资源在日前储备市场的参与方案;在用户参与下分别进行需求侧管理(demand side management, DSM)和停电应急管理(outage management, OM),并进行案例研究。该文研究能有效预测天气对电力用户影响并将其可视化,并验证了带有光伏发电的电动汽车充电站,有助于减轻天气对电力供应造成负面影响的作用。

    Abstract:

    In the context of achieving “carbon peak and carbon neutrality” target in China, renewable energy is gradually taking the dominant role and the number of electric vehicle (EV) is growing significantly. The photovoltaic (PV) EV charging stations will play an important role in demand response of EV. This paper proposes a demand response plan of PV charging stations for EVs under the influence of weather based on risk assessment. According to the “predictive-preventive-corrective” framework, firstly, a risk map is produced by integrating and analyzing the multi-layer spatial-temporal data combing the GIS data of power grid and weather. Next, risk assessment considering the impact of the predicted weather on the customers is performed, the operating cost of PV charging station including the charging/discharging expense is modeled, and the day-ahead reserve market participation strategy of the aggregated resources is optimized. Finally, demand side management and outage management involving PV and charging/discharging of EVs are discussed and case studies are carried out. This paper effectively predicts and visualizes the weather impact on the electricity users, and verifies the roles of PV EV charging stations on mitigating the negative impact of weather on the power supply.

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颜勤,涂晓帆.天气影响下基于风险评估的电动汽车光伏充电站需求响应[J].重庆大学学报,2023,46(4):37-45.

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  • 收稿日期:2022-02-14
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  • 在线发布日期: 2023-05-12
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