This paper presents the main results regarding the presence of corona on 138 kV lines. Although the study and analysis was mainly focused on the obtention of corona activity through a UV camera, results stemming from an IR camera will also be presented. The substitution of suspected flawed insulators represent to most of the distribution utilities one of the causes of major concern. The results performed in both a HV laboratory and field tests are presented herein. It was not found a similar behaviour and intensity of the corona activity between both cases. However, both type of tests agreed in that the faulty insulator(s) that have its leakage current increased, does not show corona activity.
Brazil has a big network of energy transmission. Most of the transmission lines are located far from the urban centers and in areas of difficult access. This makes inspection and maintenance more expensive and complex. In this sense, it is important to monitor and apply technological innovations in terms of equipment (sensors, cameras), telecommunication systems and vessels, which aim at reducing costs, reducing environmental impacts and increasing reliability. This work will investigate the use of 3D modeling of a training transmission line using RGB images and data from the LiDAR sensor [6]. Both sensors are coupled in an unmanned aerial vehicle. The main objective is the detection, with high precision, of the vegetation along the right-of-way.
Currently the capacity of the circuit is calculated taking into account assumptions that turn out to underutilize the actual capacity of distribution networks with underground cables out, that due to the unavailability of information "on line" of each individual circuit and temperature at the time, length, arrangement in conduits, etc.. The loading of a cable or conductor is commonly called ampacity. Due to economic constraints and limitations because of lack of space, many dealers in the world are striving to increase the carrying capacity of cables in service and the new designed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.