Skip to main content
eScholarship
Open Access Publications from the University of California

UC Riverside

UC Riverside Electronic Theses and Dissertations bannerUC Riverside

Dynamic Line Rating in Power Systems

Abstract

It is necessary for power operators to determine the capacity constraint of transmission lines to ensure the safety requirement, this process is also called line rating. There are several factors that would affect maximum rating, such as weather and conductor thermal conditions. Compared with existing static conservative line rating, dynamic line rating (DLR) is given to determine the capacity based on real time conditions, thus usually the operators are able to obtain more potential available capacity without exceeding safety margin. Conductor temperature is a significant feature in DLR processing, while measurements from sensors are expensive and inaccurate. Thus this thesis proposes a multi-factor model to calculate conductor temperature with high load current using parameter estimation.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View