D-distance Risk Factor for Transmission Line Maintenance Management and Cost Analysis

Abstract

In this paper, a D-distance risk factor was proposed to prioritize high-voltage transmission lines from high to low risk in transmission line maintenance and renovation management. Various conditions and importance assessment criteria together with the weighting and scoring method were proposed to calculate both the renovation and importance indices of transmission lines. The scores of different test methods and visual inspection were differentiated from zero to five as end-of-life to very good condition to evaluate the condition of the line and its components. Additionally, the scores of different importance criteria were modified to assess the line importance from low to high importance. Moreover, the analytic hierarchy process was applied to determine the important weight of all test methods and importance criteria, which were evaluated by utility experts. The renovation and importance indices were combined in a risk matrix to finally determine the risk of the line by using the D-distance technique. Later, the risk of every transmission line was plotted in a risk matrix to prioritize and manage maintenance tasks. Finally, a maintenance cost was analyzed by applying the D-distance risk factor and compared with the replacement cost of a new transmission line for maintenance planning and cost minimization. Twenty out of 115, 230 and 500 kV transmission lines fleet in Thailand were practically analyzed with actual data. The results were realistic to feasibly implement in a transmission system for sustainable management.

Age Estimation of Transmission Line Using Statistical Health Index and Failure Probability Curve-Fitting Method

“…To work with a normal distribution, it is essential to identify the mean and standard deviation of the data. Specifically, for the %HI values and transmission line failure probability values, the mean and standard deviation were determined using the standard normal distribution denoted as per [29] in Equation (2).…”

“…Consequently, the effective utilization of tools and technology is imperative for risk management and the enhancement of power transmission system reliability. In a power transmission system, its components can be categorized into eight groups: conductors, conductor accessories, insulators, steel structures, foundations, lightning protection, tower accessories, and the right of way [1,2], as illustrated in Figure 1.…”

“…In a power transmission system, its components can be categorized into eight groups: conductors, conductor accessories, insulators, steel structures, foundations, lightning protection, tower accessories, and the right of way [1,2], as illustrated in Figure 1. These components degrade over time due to various factors, including percentage load, system utilization, voltage levels, contingency analysis, historical failure records, age, societal considerations, pollution, and human impact [3,4].…”

Research on the Prediction Model of the Used Car Price in View of the PSO-GRA-BP Neural Network

“…The expert scoring approach, hierarchical analysis method, and principal component analysis method are some of the other ways of determining the weights of the characteristic variables. These methods typically require the artificial derivation of indicator weight coefficients or rely on a huge amount of sample data, resulting in less objective outcomes [24][25][26]. However, grey relation analysis (GRA) is used to make up for the shortcomings of these methods.…”