Network reconfiguration of distribution systems using metaheuristics and reliability measures


Autoria(s): Da Silva, Armando M. Leite; Nascimento, Luiz C.; Cassula, Agnelo M.; Sacramento, Cleber E.; Ávila, Afonso F.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

27/05/2014

27/05/2014

09/12/2009

Resumo

In an evermore competitive environment, power distribution companies need to continuously monitor and improve the reliability indices of their systems. The network reconfiguration (NR) of a distribution system is a technique that well adapts to this new deregulated environment for it allows improvement of system reliability indices without the onus involved in procuring new equipment. This paper presents a reliability-based NR methodology that uses metaheuristic techniques to search for the optimal network configuration. Three metaheuristics, i.e. Tabu Search, Evolution Strategy, and Differential Evolution, are tested using a Brazilian distribution network and the results are discussed. © 2009 IEEE.

Identificador

http://dx.doi.org/10.1109/ISAP.2009.5352859

2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09.

http://hdl.handle.net/11449/71477

10.1109/ISAP.2009.5352859

2-s2.0-76549109235

Idioma(s)

eng

Relação

2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09

Direitos

closedAccess

Palavras-Chave #Differential evolution #Distribution system reliability #Distribution systems #Evolution strategy #Network reconfiguration #Tabu search #Competitive environment #Deregulated environments #Differential Evolution #Distribution network #Evolution strategies #Meta heuristics #Meta-heuristic techniques #Network re-configuration #Optimal network configuration #Power distribution company #Reliability Index #Reliability measure #System reliability index #Distributed parameter networks #Evolutionary algorithms #Intelligent systems #Local area networks #Pumps #Reliability
Tipo

info:eu-repo/semantics/conferencePaper