Overload Risk Assessment of Power Transmission Line Considering Dynamic Line Rating

被引：0
|
作者：
Ding Z. [1 ]
Yu K. [1 ]
Wang C. [1 ]
机构：
[1] School of Electrical and Electronic Engineering, North China Electric Power University, Beijing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2021年 / 45卷 / 09期
关键词：
Column-and-constraint generation algorithm; Dynamic line rating (DLR); Overload risk assessment; Robust optimization;
D O I：
10.7500/AEPS20200716003
中图分类号：
学科分类号：
摘要：
The purpose of dynamic line rating (DLR) technology is using dynamic environment parameters to calculate and set the ampere capacity of transmission lines. Compared with the setting method of the static line rating for transmission lines, the DLR technology can truly reflect the upper limit of real-time transmission power of the transmission line. However, the calculation of DLR values relies on environmental parameters that are highly uncertain and difficult to be accurately predicted, such as wind speed, solar radiation intensity and temperature. In other words, the upper limit of the maximum transmission power of the transmission line which is set according to the DLR mechanism is also uncertain. If the prediction deviation is too large, it may cause the transmission line overload, and even lead to the grid cascading fault. Therefore, this paper proposes a risk assessment method of power transmission line overload considering the DLR uncertainty. The uncertainty of the transmission line rating is described by the box uncertainty set, and the overload risk is taken as the assessment index to optimize the zero overload range of the transmission line. The evaluation problem in this paper mathematically belongs to a kind of two-stage robust optimization problem. The efficient solution of the model is realized by using column-and-constraints generation algorithm. Finally, the validity of the proposed model and algorithm is verified in the built test system. © 2021 Automation of Electric Power Systems Press.
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页码：146 / 152
页数：6
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