.png){kind=icon}
返回
Linearizing Power Flow Model: A Hybrid Physical Model-Driven and Data-Driven Approach
.png){kind=icon}
PRE
AI
DOI：10.1109/TPWRS.2020.2975455.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Linear power flow model is advantageous for the fast operational analysis and the efficient optimization of the power systems. In this letter, we propose a hybrid physical model-driven and data-driven approach for linearizing power flow model. In this proposed approach, the linear power flow model contains two parts, i.e., the existing physical-equation-based linear power flow model and the linearized error model. The linearized errors are obtained by the partial least squares regression based data-driven approach. The proposed linear power flow model can retain the useful inherent information from the physical model and utilize the ability of data analysis to extract the inexplicit linear relationship. Simulations on the four test systems have validated that the proposed hybrid linear model exhibits a much better performance on the branch power flow calculation than other linear power flow models.
Keyword:
Load flow
Reactive power
Mathematical model
Analytical models
Hybrid power systems
Data models
Linear model
data-driven modelling
hybrid modelling
power flow
physical model-driven approach
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.2
论文数:
1.1W
被引数:
5.0W
机构
引用论文
.png){kind=icon}
分享收藏MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and EducationMATPOWER: 用于电力系统研究和教育的稳态操作，规划和分析工具
OAAI
OAAI分享收藏A State-Independent Linear Power Flow Model With Accurate Estimation of Voltage Magnitude具有精确电压幅值估计的状态无关线性潮流模型
PREAI
分享收藏 没有更多内容
没有更多内容