Abstract

The aim of this paper is to present a novel phasor measurement unit (PMU) data-based cable temperature monitoring method with an intended application towards facilitating dynamic line rating. First part of the paper presents the method to estimate and track the temperature of a 3-phase cable segment. The benefit of this temperature monitoring method is that no additional temperature measurement sensors are required to be placed along the cable. The method is based on a novel algorithm which gives accurate resistance estimates for 3-phase cable segments even in the presence of random and bias errors in the grid measurements. The performance of the method is demonstrated by utilizing data from PMUs in a distribution grid. The results from the grid data show that the method is capable of monitoring the cable temperature up to an accuracy of ±5 °C. The later part of the paper presents a system to utilize the temperature estimates given by the monitoring method to predict the dynamic thermal state of the cable for forecasted power-flow scenarios. This is demonstrated by using the available temperature estimates to initialize and solve the system of equations given by the thermoelectric equivalent (TEE) model of the cable.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.