Risk management of overhead electric power lines

Abstract

A Right-of-Way (ROW) is a piece of land over which electric power lines are stationed irrespective of AC and DC Transmission systems. Vegetation (dense forests) within the right of way poses the most serious threat to power lines structures. Atmospheric snow is also considered as one of the hazards but it has reduced threat. It is important to monitor levels of these hazards to avoid failure of power interruptions. Remote sensing and Geographic Information systems have the capability to assess hazards around electric Power lines. The Normalized difference vegetation Index is used to assess the vegetation level at the desired target where as the Normalized Difference Snow Index indicator represents snow level. Artificial intelligence (AI) techniques, such as expert system (ES), fuzzy logic (FL), and artificial neural network (ANN), and genetic algorithm (GA), techniques can solve complex engineering problems which are difficult to solve by traditional methods. This research focuses on developing a fuzzy logic model suitable for the risk assessment of Electric power lines against hazards specially vegetation atmospheric snow with the help of multispectral satellite image.