M. S. M. Shokri, F. Kasran, Muhammad Hanif Abdul Aziz, N. Miswan, Mohd Noorfazly Noran, Azlan Abd Rahim
{"title":"Dynamic Line Rating (DLR) by Weather-Based Calculation for Power Grid Optimization in Tenaga Nasional Berhad (TNB)","authors":"M. S. M. Shokri, F. Kasran, Muhammad Hanif Abdul Aziz, N. Miswan, Mohd Noorfazly Noran, Azlan Abd Rahim","doi":"10.1109/HONET50430.2020.9322810","DOIUrl":null,"url":null,"abstract":"Dynamic line rating (DLR) is a practical solution for line optimization in power transmission by dynamically increase and decrease line rating. Instead of limiting the line rating to the fixed value in Static Line Rating (SLR) based on worst conditions, DLR uses the line monitoring sensor and weather monitoring system to provide the actual line operating condition. TNB, as the power utility operator in Malaysia, always aims to find the best solution to improve overhead line performance. To date, two DLR sensors have been installed at selected line spans and the DLR data for these lines is accessible via a web portal of the system. However, the current DLR data is limited only to the line span with the installed sensors. Therefore, this paper attempts to provide the DLR data based on weather parameters that will be useful for line rating indication without line sensor installation. A detailed comparison of DLR data is analyzed between the weather-based calculation and the existing system at the line with sensor and it shows a consistent pattern between both DLR data. This work will then serve as a base for future research in the weather-based calculation to obtain DLR value for TNB grid optimization.","PeriodicalId":245321,"journal":{"name":"2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)","volume":"433 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HONET50430.2020.9322810","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Dynamic line rating (DLR) is a practical solution for line optimization in power transmission by dynamically increase and decrease line rating. Instead of limiting the line rating to the fixed value in Static Line Rating (SLR) based on worst conditions, DLR uses the line monitoring sensor and weather monitoring system to provide the actual line operating condition. TNB, as the power utility operator in Malaysia, always aims to find the best solution to improve overhead line performance. To date, two DLR sensors have been installed at selected line spans and the DLR data for these lines is accessible via a web portal of the system. However, the current DLR data is limited only to the line span with the installed sensors. Therefore, this paper attempts to provide the DLR data based on weather parameters that will be useful for line rating indication without line sensor installation. A detailed comparison of DLR data is analyzed between the weather-based calculation and the existing system at the line with sensor and it shows a consistent pattern between both DLR data. This work will then serve as a base for future research in the weather-based calculation to obtain DLR value for TNB grid optimization.