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基于数据驱动预测控制的有源配电网电压控制策略
作者:
作者单位:

四川大学电气工程学院,四川省成都市 610065

摘要:

高比例分布式光伏接入配电网使得系统的不确定性更加严峻,而配电网的网络拓扑与线路参数等数据很难准确获取,使得基于精确物理建模的传统配电网控制方法难以发挥作用。随着配电网量测装置的普及应用,配电网运行数据的获取愈发容易。文中提出一种基于配电网量测数据的有源配电网无模型电压控制方法。首先,基于配电网历史数据构建Hankel矩阵,建立网络节点电压与储能输出功率的关系;其次,利用局部量测数据,在考虑不确定干扰因素以及储能寿命衰减模型的同时,构建数据驱动预测控制下的配电网电压优化框架,实现控制周期内配电网电压的滚动优化;最后,通过IEEE 34节点标准算例与改进的IEEE 123节点算例仿真验证了所提方法的有效性和优越性。

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基金项目:

中央高校基本科研业务费专项资金资助项目(YJ2021163)。

通信作者:

作者简介:

祝泳琪(2001—),女,硕士研究生,主要研究方向:配电网电压控制。E-mail:zhuyongqi@stu.scu.edu.cn
刘友波(1983—),男,博士,教授,博士生导师,主要研究方向:电力系统机器学习算法、主动配电网规划与运行。E-mail:liuyoubo@scu.edu.cn
唐志远(1992—),男,通信作者,博士,特聘副研究员,主要研究方向:电力系统控制、分布式控制、数据驱动控制。E-mail:tangzhiyuan@scu.edu.cn


Voltage Control Strategy for Active Distribution Network Based on Data-enabled Predictive Control
Author:
Affiliation:

College of Electrical Engineering, Sichuan University, Chengdu 610065, China

Abstract:

The integration of a high proportion of distributed photovoltaic into distribution networks exacerbates the system uncertainty. Moreover, it is difficult to accurately acquire data such as the network topology and line parameters of distribution networks, rendering traditional control methods for distribution networks based on precise physical modeling ineffective. With the widespread application of measurement devices in distribution networks, it becomes increasingly easier to obtain operation data of distribution networks. This paper proposes a model-free voltage control method for active distribution networks based on measurement data of distribution networks. Firstly, a Hankel matrix is constructed based on the historical data of the distribution network to establish the relationship between the node voltages of the network and the output power of energy storage. Secondly, using local measurement data and considering uncertain disturbance factors and the attenuation model of the energy storage lifespan, an optimization framework for distribution network voltage under data-enabled predictive control is constructed to achieve the rolling optimization of distribution network voltage within the control cycle. Finally, the effectiveness and superiority of the proposed method are verified through simulations using the IEEE 34-bus standard case and the modified IEEE 123-bus case.

Keywords:

Foundation:
This work is supported by the Fundamental Research Funds for the Central Universities (No. YJ2021163).
引用本文
[1]祝泳琪,刘友波,唐志远,等.基于数据驱动预测控制的有源配电网电压控制策略[J].电力系统自动化,2024,48(20):100-108. DOI:10.7500/AEPS20240409006.
ZHU Yongqi, LIU Youbo, TANG Zhiyuan, et al. Voltage Control Strategy for Active Distribution Network Based on Data-enabled Predictive Control[J]. Automation of Electric Power Systems, 2024, 48(20):100-108. DOI:10.7500/AEPS20240409006.
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  • 收稿日期:2024-04-09
  • 最后修改日期:2024-09-20
  • 录用日期:2024-09-23
  • 在线发布日期: 2024-10-21
  • 出版日期: