Real-Time Dynamic Line Rating of Transmission Lines Using Live Simulation Model and Tabu Search
Autor: | Yangchun Cheng, Peixuan Liu, Zhenliang Zhang, Yuan Dai |
---|---|
Rok vydání: | 2021 |
Předmět: |
Observational error
Computer science 020209 energy Energy Engineering and Power Technology 02 engineering and technology Temperature measurement Tabu search Field (computer science) Electric power transmission Transmission line Line (geometry) 0202 electrical engineering electronic engineering information engineering Overhead (computing) Electrical and Electronic Engineering Algorithm |
Zdroj: | IEEE Transactions on Power Delivery. 36:1785-1794 |
ISSN: | 1937-4208 0885-8977 |
DOI: | 10.1109/tpwrd.2020.3014911 |
Popis: | We have previously proposed a live simulation model (LSM) that simulates the heat-balance of high-voltage overhead transmission lines during high-temperature operation without requiring meteorological parameters. This can be used to calculate the dynamic line rating (DLR) in real time, although the accuracy of this approach is significantly influenced by measurement errors in the real-time monitoring system. This paper describes how the nonlinear parameter estimation method can be combined with the tabu search algorithm to determine the optimal solutions for systematic deviation corrections in a practical application of LSM. The effects of this optimal solution on LSM are verified using data from a 110-kV transmission line. The accuracy of the deviation corrections is verified through comparisons with field measurements. After correcting the measurement errors, the average error in the real-time DLR calculated by LSM is expected to be less than 1% and the root mean-squared error is expected to be less than 10%. |
Databáze: | OpenAIRE |
Externí odkaz: |