考虑缺失数据的低压配电网络最佳功率流主动学习本地控制方法

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Shengquan Huang, Jiale Zhang, Xiaoqing Bai
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引用次数: 0

摘要

可再生能源,尤其是太阳能光伏发电的高渗透率给配电网络带来了巨大挑战。数据驱动的本地控制是确保配电网可靠运行的一种有效且预算合理的方式。然而,这种模式将面临计算成本高昂、同一运行期大量历史数据无效等问题。此外,由于测量仪器的误差,数据缺失现象也会加剧。因此,本文提出了一种主动学习局部控制方法,通过多样性选择样本来提高控制方案的效率,并在缺失条件下保持原始样本所设计的性能。首先,考虑到中性线的影响,构建了低压配电网络中的最优功率流模型。然后,采用估算方法处理包含缺失值的历史数据,并引入基于贪婪算法的主动学习方法来选择多样化样本,从而加快局部控制的离线过程。最后,我们制定了光伏逆变器和储能系统的运行规则,它们作为本地设备在实时控制中发挥作用。仿真结果表明,所提出的方法实现了安全运行,节省了训练阶段所需的时间,与原始样本设计的方案相比,性能接近。此外,本文还研究了不同数据缺失率对本地控制的影响,并提出了在任何缺失条件下实现系统安全性和成本效益的建议方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An Active Learning Local Control Method for Optimal Power Flow in Low Voltage Distribution Networks Considering Missing Data

An Active Learning Local Control Method for Optimal Power Flow in Low Voltage Distribution Networks Considering Missing Data

The high penetration of renewable energy sources, especially solar photovoltaic, poses a significant challenge in distribution networks. Data-driven local control is an effective and budgeted way to ensure reliable distribution operation. However, this mode will face computationally expensive and ineffective problems with extensive historical data in the same operational period. In addition, the phenomenon of missing data will worsen due to the errors of measurement instruments. Therefore, an active learning local control method is proposed to select samples with diversity to improve the efficiency of the control scheme and maintain the performance designed by the original samples under the missing condition. Firstly, an optimal power flow model in a low-voltage distribution network is constructed considering the neutral line’s impact. Then, the historical data containing missing values are processed by an imputation method, and an active learning method based on a greedy algorithm is introduced to select diverse samples, which speeds up the offline process of local control. Finally, we formulate the operation rules of the photovoltaic inverter and energy storage systems, which work as local devices in real-time control. The simulation results show that the proposed method realizes safe operation, saves the required time in the training stage, and achieves nearly approximate performance compared to the scheme designed by the original samples. Furthermore, this paper investigates the impact of different rates of missing data on local control and presents the proposed method to achieve the security and cost-effectiveness of the system under any missing condition.

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来源期刊
Journal of Electrical Engineering & Technology
Journal of Electrical Engineering & Technology ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
4.00
自引率
15.80%
发文量
321
审稿时长
3.8 months
期刊介绍: ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies. The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.
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