Abstract
The Association of the Coal Industry of Santa Catarina (SATC), together with the State Electric Energy Company (CEEE/Equatorial) of the Brazilian state of Rio Grande do Sul (RS), seeks solutions to reduce conflicts between vegetation and electrical networks. This study was carried out having as an area for pilot the city of Porto Alegre, RS, where the distributor is responsible for the supply of electricity. The objective of this proposal was to define locations for carrying out a vegetation inventory through a predictive model. From satellite images, the existing vegetation in the distribution network was digitally extracted and, from this, five prioritization factors were associated via Hierarchical Process Analysis (HPA), resulting in an equation with consistency ratio where each factor is given a specific weight, resulting in a priority map. The final model is explained by 36% by the number of power outages, 21.5% by vegetation close to the grid, 21% by the affected population, 16.9% by the type of consumer, and 4.6% by the area from the neighborhood. This combination of factors resulted in ‘red zones’ in the pilot area, of which 100 points were chosen for carrying out a forest inventory, with an expected sampling significance of at least 97%. This makes it possible to develop a more assertive and spatially oriented forest inventory, and this model can be replicated in different urban centers.
Highlights
The contact of vegetation with the electrical grid is a widespread problem in urban areas; it can be avoided if diagnosed, with a view to planning the correct cities’ afforestation
The methodology proposed in this study allows for a mapping and prioritization of mandatory locations for carrying out a confirmatory forest inventory in loco, integrating the occurrence of disconnections, number and type of affected users, and extension of the neighborhood, among others
The mapping of critical zones is represented in different nuclei where the places with priority for visitation are represented in the hot nuclei, with orange being the places that deserve secondary attention and red the places that have priority for the realization of the posterior forest inventory
Summary
This research consisted of the forest inventory idealization’s stage regarding the research and development project, titled “Computer Tool for On-line and Automated. The objective was to propose a computational tool that integrates data from aerial images, field surveys, and a predictive model of tree growth, for the main species, components of afforestation in the municipality of Porto Alegre, state of Rio Grande do Sul, Brazil This integration of multiple data will allow us to identify conflict points between vegetation and the energy network, ensuring automated and online forest management, optimizing tree pruning services, and observing environmental, economic, and safety issues [1]. A forestry inventory in an urban area must follow specific criteria [4], emphasizing the spatial character, while seeking the representativeness of the surveys, requiring the development of a sampling plan The objective of this proposition was precisely to present the strategies adopted for the accurate realization of this inventory of the vegetation that conflicts with the electrical network, in the municipality of Porto Alegre, serving as input for a larger project. Distribution network history of occurrences of interruption of energy supply in the neighborhoods of Porto Alegre (Study Area)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
