Experimentally validated partial least squares model for dynamic line rating. Issue 3 (1st April 2014)

• Record Type: Journal Article
• Authors: Morrow, David John; Fu, Jiao; Abdelkader, Sobhy Mohamed
• Is Part Of: IET renewable power generation. Volume 8:Issue 3(2014)
• Page Start: 260
• Page End: 268
• Publication Date: 2014-04-01
• Subjects: least squares approximations -- power transmission lines -- regression analysis; experimentally‐validated partial least square model -- dynamic line rating -- PLS regression -- field measurement -- lab test -- outdoor experiment -- model‐predicted DLR -- weather forecast reliability -- statistical model -- parameter predetermination -- physical modelling technique -- conductor temperature prediction -- measurement sets -- linear model -- conductor ampacity -- PLS‐estimated ampacity; Renewable energy sources -- Periodicals; 333.79405
• DOI: 10.1049/iet-rpg.2013.0097
• Languages: English
• ISSNs: 1752-1416

Abstract

Abstract : This study presents a model based on partial least squares (PLS) regression for dynamic line rating (DLR). The model has been verified using data from field measurements, lab tests and outdoor experiments. Outdoor experimentation has been conducted both to verify the model predicted DLR and also to provide training data not available from field measurements, mainly heavily loaded conditions. The proposed model, unlike the direct measurement based DLR techniques, enables prediction of line rating for periods ahead of time whenever a reliable weather forecast is available. The PLS approach yields a very simple statistical model that accurately captures the physical performance of the conductor within a given environment without requiring a predetermination of parameters as required by many physical modelling techniques. Accuracy of the PLS model has been tested by predicting the conductor temperature for measurement sets other than those used for training. Being a linear model, it is straightforward to estimate the conductor ampacity for a set of predicted weather parameters. The PLS estimated ampacity has proven its accuracy through an outdoor experiment on a piece of the line conductor in real weather conditions.