A multi-objective algorithm to determine patrol sequences for out-of-service nodes in power distribution feeders

Autor(es)

Fanucchi, Rodrigo Z. ^[1] ; Bessani, Michel ^[2] ; Camillo, Marcos H. M. ^[1] ; Desuo Neto, Luiz ^[3] ; da S. Soares, Anderson ^[4] ; de Lima, Telma W. ^[4] ; London Jr, Joao B. A. ; Dantas, Luciano B. ^[1] ; Maciel, Carlos D. ^[5]

Afiliação do(s) autor(es)

^[1] Copel Distribuicao SA, Curitiba, Parana - Brazil

^[2] Univ Fed Minas Gerais, Dept Elect Engn, Belo Horizonte, MG - Brazil

^[3] Univ Sao Paulo, Sch Engn Sao Carlos, Sao Carlos - Brazil

^[4] Univ Fed Goias, Informat Inst, Goiania, Go - Brazil

^[5] London Jr, Jr., Joao B. A., Univ Sao Paulo, Sch Engn Sao Carlos, Sao Carlos - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Electric Power Systems Research; v. 196, JUL 2021.
• Citações Web of Science: 0

Resumo

During outages, Distribution Operation Centers establish a restoration plan to isolate the area that is probably faulty and reconnect all functioning components of a feeder. Despite all technological advances made in the last few decades, the final step to locate the faulty point is taken visually by repair field crews based on a patrol sequence. There is a lack of procedures to determine patrol sequences in literature, which is usually performed by the repair crew itself. Therefore, this paper offers an introduction to define patrol sequences in a multi-objective context. Furthermore, the Multi-Objective Discrete Particle Swarm Optimization has been proposed by using the 3-Opt algorithm and initialization heuristics based on an RNN algorithm - MODPSO+RNN+LS(3-Opt)-, which emulates the decisions made by the repair crew in the field. Lastly, the MODPSO+RNN+LS(3-Opt) was evaluated based on the IEEE 37-node and 123-node test feeders. The obtained results cast light upon how the initialization heuristics and local search method improve the final set of patrol sequence. In addition, it is also possible to find how the multi-objective context of the problem increases its complexity and how likely decisions that are typically made by the field repair crew could be improved by an optimization technique. (AU)

• Processo FAPESP: 14/50851-0 - INCT 2014: Instituto Nacional de Ciência e Tecnologia para Sistemas Autônomos Cooperativos Aplicados em Segurança e Meio Ambiente
• Beneficiário: Marco Henrique Terra
• Linha de fomento: Auxílio à Pesquisa - Temático
• Processo FAPESP: 18/19150-6 - Resiliência de sistemas complexos com o uso de redes bayesianas dinâmicas: uma abordagem probabilística
• Beneficiário: Carlos Dias Maciel
• Linha de fomento: Bolsas no Exterior - Pesquisa