Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Felipe G. Duque"'
Autor:
Camile Arêdes Moraes, L. W. de Oliveira, Bruno Henriques Dias, E. J. de Oliveira, Felipe G. Duque
Publikováno v:
Springer Tracts in Nature-Inspired Computing ISBN: 9789811521324
This chapter presents applications of the bio-inspired metaheuristic known as monkey search (MS) to the planning of electrical energy distribution systems (EEDS). The technique is inspired by the behavior of a monkey searching for food in a jungle th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ada09ca756063da7a257345eab56bf70
https://doi.org/10.1007/978-981-15-2133-1_11
https://doi.org/10.1007/978-981-15-2133-1_11
Publikováno v:
Electric Power Systems Research. 152:122-129
State estimation (SE) has become an important aspect of real-time management of electrical distribution systems (EDS). However, it is a challenging problem, mainly due to the network model complexity and the lack of a reliable measurement infrastruct
Autor:
Leonardo W. de Oliveira, Felipe G. Duque, Julio Cesar Stacchini de Souza, Edimar J. de Oliveira
Publikováno v:
Electric Power Systems Research. 191:106897
The present work proposes a multiobjective approach for optimal allocation of metering devices in Electrical Distribution Systems. The proposed approach seeks to obtain solutions that represent attractive investment options for utilities, while provi
Publikováno v:
Journal of Control, Automation and Electrical Systems. 27:212-227
This work presents an algorithm based on the bio-inspired optimization technique known as monkey search (MS) for the optimal allocation of fixed and switched capacitor banks in distribution systems. The objectives are to minimize the energy loss, to
Autor:
Felipe G. Duque, André L. M. Marcato, Edimar J. de Oliveira, Leonardo W. de Oliveira, Ivo C. Silva
Publikováno v:
International Journal of Electrical Power & Energy Systems. 73:420-432
This work presents a methodology for the allocation of fixed capacitor banks in electrical power distribution systems by applying a bio-inspired optimization technique. The goal is to optimize the distribution network operation over a planning horizo