Reliability-Centered Maintenance Task Planning for Overhead Electric Power Distribution Networks
| Autor: | Jose Roberto Sanches Mantovani, Diego Piasson, Jonatas Boas Leite, Antônio R. Misari |
|---|---|
| Přispěvatelé: | Universidade Estadual Paulista (Unesp), State University of Mato Grosso - UNEMAT |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Multi-objective programming
Computer science NSGA-II 020209 energy 0211 other engineering and technologies Energy Engineering and Power Technology Metaheuristic 02 engineering and technology Genetic algorithm 0202 electrical engineering electronic engineering information engineering Overhead (computing) Maintenance tasks Electrical and Electronic Engineering Reliability (statistics) Electric power distribution 021103 operations research business.industry Pareto principle Sorting Reliability Distribution systems Electric distribution network Computer Science Applications Reliability engineering Control and Systems Engineering business |
| Zdroj: | Scopus Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP |
| Popis: | Made available in DSpace on 2020-12-12T02:42:08Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-10-01 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) In this paper, it is presented an approach to match technically and economically the reliability of electricity distribution networks through an optimization methodology consisting of the mathematical model and metaheuristic solution technique to obtain an optimized plan for efficient management of maintenance tasks. The problem of maintenance tasks is formulated as a mixed dynamic nonlinear multi-objective optimization model, in which costs to perform maintenance tasks on equipment and/or components that make up the electric distribution network are minimized, while they have their reliability maximized.The constraints of this model are the individual and group electricity supply interruption duration and frequency indices, and availability of financial and human resources. The solution of this problem is obtained through a specialized non-dominated sorting genetic algorithm multi-objective metaheuristic, which provides a set of non-dominated solutions very close to the optimal Pareto frontier. Each solution at this frontier represents a maintenance plan able to assist the making decision of the operators in distribution companies for managing the maintenance crews. Electrical Engineering Department São Paulo State University - UNESP, Brasil Avenue 56 State University of Mato Grosso - UNEMAT Electrical Engineering Department São Paulo State University - UNESP, Brasil Avenue 56 CAPES: 001 FAPESP: 2015/21972-6 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|