Efficient Simulation of Temperature Evolution of Overhead Transmission Lines Based on Analytical Solution and NWP

TL;DR

This paper introduces an efficient analytical approach combined with weather data to simulate the temperature evolution of overhead transmission lines, enabling rapid risk assessment and decision-making in power system operations.

Contribution

It develops an approximate analytical solution for line temperature evolution and integrates NWP data for fast, accurate simulation under various operational conditions.

Findings

Achieves over 1000 times efficiency improvement over traditional methods.

Accurately predicts temperature evolution under different environmental conditions.

Enables real-time risk assessment and decision support for power system security.

Abstract

Transmission lines are vital components in power systems. Tripping of transmission lines caused by over-temperature is a major threat to the security of system operations, so it is necessary to efficiently simulate line temperature under both normal operation conditions and foreseen fault conditions. Existing methods based on thermal-steady-state analyses cannot reflect transient temperature evolution, and thus cannot provide timing information needed for taking remedial actions. Moreover, conventional numerical method requires huge computational efforts and barricades system-wide analysis. In this regard, this paper derives an approximate analytical solution of transmission-line temperature evolution enabling efficient analysis on multiple operation states. Considering the uncertainties in environmental parameters, the region of over-temperature is constructed in the environmental parameter space to realize the over-temperature risk assessment in both the planning stage and real-time operations. A test on a typical conductor model verifies the accuracy of the approximate analytical solution. Based on the analytical solution and numerical weather prediction (NWP) data, an efficient simulation method for temperature evolution of transmission systems under multiple operation states is proposed. As demonstrated on an NPCC 140-bus system, it achieves over 1000 times of efficiency enhancement, verifying its potentials in online risk assessment and decision support.