Reliability-Centered Maintenance Task Planning for Overhead Electric Power Distribution Networks
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Reliability-Centered Maintenance Task Planning for Overhead Electric Power Distribution Networks Antônio R. Misari1 · Jonatas B. Leite1
· Diego Piasson2 · José Roberto Sanches Mantovani1
Received: 9 January 2020 / Revised: 30 March 2020 / Accepted: 4 May 2020 © Brazilian Society for Automatics--SBA 2020
Abstract 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. Keywords NSGA-II · Metaheuristic · Multi-objective programming · Reliability · Maintenance tasks · Distribution systems
List of symbols Sets Ns Number of consumers connected to the sth feeder section ph Planning horizon E Equipment installed in the system S Number of feeder sections in the system
Parameters t Cost x(e,m)
B
Cost of maintenance task of level m at the equipment e in the time t
Jonatas B. Leite [email protected]
1
Electrical Engineering Department, São Paulo State University - UNESP, Brasil Avenue 56, Ilha Solteira, SP 15385-000, Brazil
2
State University of Mato Grosso - UNEMAT, Barra do Bugres, MT 78390-000, Brazil
t TMP[x(e,m) ]
Average preparation time to a maintenance task of level m at the equipment e in the time t t ] Average travel time of the field crew to perTMDe [x(e,m) form the maintenance task of level m, at the equipment e in the time t t ] Average time to perform the maintenance TME[x(e,m) task of level m at the equipment e in the time t Available time to the maintenance crew Tfact (minutes) t Time interval into planning horizon (months) e Type of equipment installed in the system r Interest rate TMAE Average time to the emergency attending by utility field crews (hours) DIC System interruption duration per consumption unit FIC System interruption frequency per consumption unit Number of maintenance tasks allowed per Me equipment e Reliability of the sth feeder section Cs Active power in the sth feeder section Ps
123
Journal of Control, Automation and Electrical Systems
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