Multiobjective Optimization of Maintenance Applied in Electric Power Distribution Systems
Abstract Power distribution utilities effort to ensure the quality of energy to their consumers and the reliability of their power distribution system. It is necessary that maintenance activities are planned with the aim of maintaining or improving reliability indicators in supply to consumers. In t...
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| Vydáno v: | Brazilian Archives of Biology and Technology Ročník 67 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Instituto de Tecnologia do Paraná (Tecpar)
2024
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| ISSN: | 1516-8913, 1678-4324 |
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| Abstract | Abstract Power distribution utilities effort to ensure the quality of energy to their consumers and the reliability of their power distribution system. It is necessary that maintenance activities are planned with the aim of maintaining or improving reliability indicators in supply to consumers. In this paper, a computational model based on integer nonlinear multiobjective programming is presented to improve the maintenance of equipment in the power distribution system. Since it is a reliability-centered approach, a probabilistic failure model is first used to obtain equipment reliability values at each time point through fuzzy inference. Three objective functions are optimized: i) minimizing maintenance cost, ii) minimizing failure frequency, and iii) maximizing equipment reliability. The optimization problem is also formed by three sets of constraints: i) individual and collective continuity indicators; ii) task execution time; and iii) maintenance limit for each type of equipment. Lichtenberg's algorithm is used to solve the model. A case study is performed for a feeder section consisting of twenty-eight distribution equipment. The results obtained using the Pareto constraints show scenarios that can help maintenance teams to make decisions and develop the preventive maintenance planning. Adding constraints on the duration and frequency of collective interruptions indicators improves the power quality of the distribution system; however, it requires an increase in investment by 36%. |
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| AbstractList | Abstract Power distribution utilities effort to ensure the quality of energy to their consumers and the reliability of their power distribution system. It is necessary that maintenance activities are planned with the aim of maintaining or improving reliability indicators in supply to consumers. In this paper, a computational model based on integer nonlinear multiobjective programming is presented to improve the maintenance of equipment in the power distribution system. Since it is a reliability-centered approach, a probabilistic failure model is first used to obtain equipment reliability values at each time point through fuzzy inference. Three objective functions are optimized: i) minimizing maintenance cost, ii) minimizing failure frequency, and iii) maximizing equipment reliability. The optimization problem is also formed by three sets of constraints: i) individual and collective continuity indicators; ii) task execution time; and iii) maintenance limit for each type of equipment. Lichtenberg's algorithm is used to solve the model. A case study is performed for a feeder section consisting of twenty-eight distribution equipment. The results obtained using the Pareto constraints show scenarios that can help maintenance teams to make decisions and develop the preventive maintenance planning. Adding constraints on the duration and frequency of collective interruptions indicators improves the power quality of the distribution system; however, it requires an increase in investment by 36%. |
| Author | Gapski, Anderson Luis Luz, Thiago José da Unsihuay-Vila, Clodomiro |
| Author_xml | – sequence: 1 givenname: Thiago José da orcidid: 0000-0002-6018-9429 surname: Luz fullname: Luz, Thiago José da organization: Universidade Federal do Paraná, Brasil – sequence: 2 givenname: Anderson Luis orcidid: 0009-0007-1962-2730 surname: Gapski fullname: Gapski, Anderson Luis organization: Universidade Federal do Paraná, Brasil – sequence: 3 givenname: Clodomiro orcidid: 0000-0002-1639-7765 surname: Unsihuay-Vila fullname: Unsihuay-Vila, Clodomiro organization: Universidade Federal do Paraná, Brasil |
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| References_xml | – volume: 137 start-page: 41 issue: 8 year: 2016 ident: ref21 article-title: A new approach for reliability-centered maintenance programs in electric power distribution systems based on a multiobjective genetic algorithm publication-title: Electric Power Systems Research doi: 10.1016/j.epsr.2016.03.040 – volume: 129 start-page: 255 year: 2017 ident: ref10 article-title: Maintenance strategy selection in electric power distribution systems publication-title: Energy doi: 10.1016/j.energy.2017.04.100 – volume: 187 start-page: 115939 year: 2022 ident: ref20 article-title: Multi-objective lichtenberg algorithm: A hybrid physics-based meta-heuristic for solving engineering problems publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2021.115939 – year: 2017 ident: ref9 – volume: 69 start-page: 6241 issue: 9 year: 2020 ident: ref16 article-title: Optimizing Maintenance Policies for a Yaw System Using Reliability-Centered Maintenance and Data-Driven Condition Monitoring publication-title: IEEE Trans Instrum Meas doi: 10.1109/TIM.2020.2968160 – volume: 255 start-page: 113819 year: 2019 ident: ref19 article-title: 100% Renewable energy planning with complementarity and flexibility based on a multi-objective assessment publication-title: Appl Energy [Internet] doi: 10.1016/j.apenergy.2019.113819 – year: 2021 ident: ref22 – year: 2014 ident: ref8 – volume: 63 start-page: 102483 year: 2020 ident: ref15 article-title: Power supply reliability evaluation based on big data analysis for distribution networks considering uncertain factors publication-title: Sustain Cities Soc doi: 10.1016/j.scs.2020.102483 – volume: 171 start-page: 701 year: 2019 ident: ref12 article-title: A new model for reliability-centered maintenance prioritisation of distribution feeders publication-title: Energy doi: 10.1016/j.energy.2019.01.040 – year: 2020 ident: ref17 – volume: 29 start-page: 1 issue: 1 year: 2019 ident: ref11 article-title: A mathematical framework for reliability-centered maintenance in microgrids publication-title: Int Trans Electr Energy Syst doi: 10.1002/etep.2691 – year: 2011 ident: ref7 – start-page: 174 year: 2021 ident: ref2 – volume: 2 start-page: 319 issue: 4 year: 2019 ident: ref14 article-title: A Practical Approach to Planning Reliability-Centered Maintenance in Distribution System Considering Economic Risk Function and Load Uncertainty publication-title: Int J Ind Electron Control Optim – start-page: 1 year: 2014 ident: ref18 article-title: [The Influence of Regulation Methodology on DEC and FEC Continuity Indicators] publication-title: Sbse – year: 2019 ident: ref13 – year: 2007 ident: ref4 – year: 2008 ident: ref6 – year: 2013 ident: ref1 – volume: 16 start-page: 638 issue: 4 year: 2001 ident: ref3 article-title: The present status of maintenance strategies and the impact of maintenance on reliability publication-title: IEEE Trans Power Syst [Internet] doi: 10.1109/59.962408 – year: 2016 ident: ref5 |
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| SubjectTerms | Continuity Indicators Fuzzy Inference Lichtenberg Algorithm Multiobjective Programming Power Distribution Systems Reliability-Centered Maintenance |
| Title | Multiobjective Optimization of Maintenance Applied in Electric Power Distribution Systems |
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