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1.东南大学,江苏省南京市 210096
2.国电南瑞南京控制系统有限公司,江苏省南京市 211106
3.南瑞集团有限公司(国网电力科学研究院有限公司),江苏省南京市 211106
4.国网上海市电力公司经济技术研究院,上海市 200233
5.南京邮电大学,江苏省南京市 210023
张卫国(1980—),男,硕士,高级工程师,主要研究方向:电动汽车充换电及虚拟电厂技术。E-mail:8788961@qq.com
宋杰(1981—),男,硕士,高级工程师,主要研究方向:需求响应、综合能源服务、虚拟电厂协调控制。E-mail:song-jie@sgepri.sgcc.com.cn
郭明星(1978—),男,硕士,高级工程师,主要研究方向:电网规划。E-mail:mingxing_guo@163.com
杨璐彤(1997—),女,通信作者,硕士研究生,主要研究方向:虚拟电厂技术。E-mail:1220055914@njupt.edu.cn
收稿:2021-03-18,
修回:2022-01-14,
网络出版:2022-03-04,
纸质出版:2022-05-10
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张卫国,宋杰,郭明星等.考虑电动汽车充电需求的虚拟电厂负荷均衡管理策略[J].电力系统自动化,2022,46(9):118-126.
ZHANG Weiguo,SONG Jie,GUO Mingxing,et al.Load Balancing Management Strategy for Virtual Power Plants Considering Charging Demand of Electric Vehicles[J].Automation of Electric Power Systems,2022,46(9):118-126.
张卫国,宋杰,郭明星等.考虑电动汽车充电需求的虚拟电厂负荷均衡管理策略[J].电力系统自动化,2022,46(9):118-126. DOI: 10.7500/AEPS20210318001.
ZHANG Weiguo,SONG Jie,GUO Mingxing,et al.Load Balancing Management Strategy for Virtual Power Plants Considering Charging Demand of Electric Vehicles[J].Automation of Electric Power Systems,2022,46(9):118-126. DOI: 10.7500/AEPS20210318001.
大规模可再生能源及电动汽车的接入会影响整个电力系统的用电平衡,为提高可再生能源利用率并均衡负荷用电,提出一种面向虚拟电厂并考虑电动汽车充电需求的负荷均衡管理策略。首先,根据各类负荷及分布式电源的电力数据计算电力供需差额及电网的电力平衡关系。在考虑可再生能源使用效率和电动汽车充电需求的基础上,采用所提出的分层电力调度系统对用电负荷进行调度。此外,提出一种实时功率跟踪机制来处理可再生能源发电、电力负荷和电动汽车充电的预测误差。最后,通过算例验证该方案的有效性和适用性,结果表明构建考虑电动汽车充电需求的虚拟电厂并融合多类资源
可发挥互补效应
实现虚拟电厂的负荷均衡管理,从而增强电能交互整体的平稳性
保障系统的安全性和经济性。
The access of large-scale renewable energy and electric vehicles will affect the power balance of the entire power system. In order to improve the utilization rate of renewable energy and balance the load consumption
this paper proposes a load balance management strategy for virtual power plants and the charging demand of electric vehicles is considered. Firstly
electricity demand-supply gap and the power balance of the grid are calculated according to the power data of various loads and distributed power sources. On the basis of considering renewable energy efficiency and electric vehicle charging demand
the proposed hierarchical power dispatching system is used to schedule power load. In addition
a real-time power tracking mechanism is proposed to deal with the prediction errors of renewable energy generation
power load and electric vehicle charging. Finally
an example is given to verify the effectiveness and applicability of the proposed scheme. It is shown that constructing a virtual power plant considering electric vehicle charging demand and integrating multiple resources can give full play to the complementary effect and realize load balance management of the virtual power plant
thus enhancing the overall smoothness of power interaction and ensuring the safety and economy of the system.
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