Study of different mathematical approaches in determining the dynamic rating of overhead power lines and a comparison with real time monitoring data
Description
Highlights: • Study of dynamic rating of overhead lines obtained by CIGRE and IEEE standards. • Results validated with real-time monitoring of an overhead line for more than a year. • Precise measurements significantly improve the accuracy of estimated temperature. • An equilibrium between accuracy and mathematical complexity should be reached. - Abstract: Electricity generation is changing as new, renewable and smaller generation facilities are created, and classic topologies have to accommodate this distributed generation. These changes lead to the creation of smart grids in which advanced generation, information and communication technologies are needed. Information metering is important, and one of the most important grid parameters to be measured and controlled is the temperature of overhead conductors due to their relation to the maximum allowable sag of the line. The temperature and current of an overhead conductor and the weather conditions surrounding the cable are measured every 8 min for more than a year. With these data, the accuracies of the different algorithms presented in the standards (CIGRE TB601 and IEEE 738) are studied by implementing them in MATLAB®. The use of precise measurements of solar radiation and low wind speeds with ultrasonic anemometers, improves the accuracy of the estimated temperature compared with the real measured conductor temperature. Additionally, using dynamic algorithms instead of assuming a steady state analysis increases the accuracy. However, an equilibrium between the accuracy and mathematical complexity should be obtained depending on the specific needs.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.applthermaleng.2016.09.081Additional details
Identifiers
- DOI
- 10.1016/j.applthermaleng.2016.09.081;
- PII
- S1359-4311(16)31689-1;
Publishing Information
- Journal Title
- Applied Thermal Engineering
- Journal Volume
- 111
- Journal Page Range
- p. 95-102
- ISSN
- 1359-4311
- CODEN
- ATENFT
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 48063327
- Subject category
- S14: SOLAR ENERGY;
- Descriptors DEI
- ALGORITHMS; ANEMOMETERS; ELECTRICITY; POWER GENERATION; SMART GRIDS; SOLAR RADIATION; STEADY-STATE CONDITIONS; TIME MEASUREMENT; WEATHER; WIND
- Descriptors DEC
- ENERGY SYSTEMS; MATHEMATICAL LOGIC; MEASURING INSTRUMENTS; POWER SYSTEMS; RADIATIONS; STELLAR RADIATION
Optional Information
- Copyright
- Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.