三峡大学学报（自然科学版）2024，Vol.46Issue(3)：91-98,8.DOI:10.13393/j.cnki.issn.1672-948X.2024.03.014
基于支持向量回归数据驱动的配电网潮流回归
Date-driven Power Flow Regression Using SVR in Distribution Grid
摘要
Abstract
With the connection of a large number of distributed generators to distribution grid,the power flow distribution has changed from the original one-way flow to the two-way flow,and the problems of uneven power flow distribution and the over-limit voltage in distribution grid have frequently appeared.Therefore,it is more important to study the power flow calculation applicable to the active distribution grid.Because the electrical parameters of the medium and low voltage distribution grid are often not collected,and the measurement system is not as complete as transmission network,the topological changes caused by the switching action are difficult to reflect to the monitoring system in real time.In practice,it is difficult to apply the power flow method of transmission grid based on admittance matrix to medium and low voltage distribution grids.In view of this point,a data-driven linear regression model of power flow to realize the calculation and analysis of power flow independent of the physical model of the distribution grid is proposed in this paper.Firstly,the mapping relationship between the known quantity and the unknown quantity of different types of bus bars is established.Secondly,the update method of the bus type transformation of the model is further derived.Then,a power flow regression model based on support vector regression(SVR)is constructed.The non-linear power flow is better fitted by embedding Gaussian kernel function and clustering samples.Finally,simulations on multiple IEEE standard systems and improved IEEE33 node systems verify the effectiveness of the proposed method.关键词
数据驱动/潮流计算/支持向量回归/母线类型变换/机器学习Key words
data-driven/power flow calculation/support vector regression/bus type transformation/machine learning分类
动力与电气工程引用本文复制引用
张泰源,周云海,陈潇潇,郑培城..基于支持向量回归数据驱动的配电网潮流回归[J].三峡大学学报（自然科学版）,2024,46(3):91-98,8.基金项目
国网冀北电力有限公司科技项目(SGJBDK00DZJS2310065) （SGJBDK00DZJS2310065）
