Gestão Inteligente de Podas de Árvores em Redes de Distribuição de Energia Elétrica
Authors
Hannah W. L. Cardoso
Programa de Pós-Graduação em Engenharia Elétrica, Universidade Federal de Minas Gerais, Av. Antônio Carlos 6627, 31270-901, Belo Horizonte, MG, Brazil
Miguel M. Costa
Programa de Pós-Graduação em Engenharia Elétrica, Universidade Federal de Minas Gerais, Av. Antônio Carlos 6627, 31270-901, Belo Horizonte, MG, Brazil
Lucas S. Batista
Departamento de Engenharia Elétrica, Operations Research and Complex Systems Laboratory (ORCS Lab.), Universidade Federal de Minas Gerais, Av. Antônio Carlos 6627, 31270-901, Belo Horizonte, MG, Brazil
Pruning management, Energy distribution networks, Decision making, S-OWA, Reliability
Abstract
This paper proposes a methodology for intelligent pruning management in electric power distribution networks. This methodology is based on a multi-criteria decision-making aid tool, whose attributes are defined based on several indices of practical interest, ranging from reliability indicators to specific information on vegetation throughout the distribution network. The proposed decision tool is characterized by the S-OWA ordering operator, used to aggregate information on the attributes considered and make a decision. The results obtained for different scenarios show the effectiveness of the tool in prioritizing tree pruning, thus suggesting its potential for use by energy distribution companies.
