Single Objective Optimization Methods in Electrical Power Systems: A Review
Although the scheduling of maintenance tasks for generators is not a new issue, it has recently attracted new attention due to the significant rise in demand for expanding power system size in modern power systems. Generator Maintenance Scheduling (GMS) is a nonlinear optimization problem, highly d...
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| Language: | English |
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middle technical university
2023-03-01
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| Series: | Journal of Techniques |
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| Online Access: | https://journal.mtu.edu.iq/index.php/MTU/article/view/1214 |
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| author | Ali Abdulmunim Ibrahim Al-kharaz Ahmed Bahaaulddin A.Wahhab Mohammed Fadhil Ibrahim Shahab Abdulla |
| author_facet | Ali Abdulmunim Ibrahim Al-kharaz Ahmed Bahaaulddin A.Wahhab Mohammed Fadhil Ibrahim Shahab Abdulla |
| author_sort | Ali Abdulmunim Ibrahim Al-kharaz |
| collection | DOAJ |
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Although the scheduling of maintenance tasks for generators is not a new issue, it has recently attracted new attention due to the significant rise in demand for expanding power system size in modern power systems. Generator Maintenance Scheduling (GMS) is a nonlinear optimization problem, highly dimensional and constrained, and determines when power-producing units must undertake well-planned preventative maintenance. The objective function includes binary variables to indicate whether a generator is undergoing maintenance at a given time and is subject to several restrictions described in this paper. However, the biggest concern of GMS is to produce a precise timetable for preventive maintenance of generating units with low cost and high reliability. Despite that, regrettably, a large volume of research works has accomplished solutions towards a model of GMS with the consideration of either maximizing system reliability or minimizing operation costs as an objective of their research work. This is called Single-Objective Problem (SOP), which involves one objective function that needs to be optimized. SOP is solved by Single-Objective Optimization Method (SOOM). The primary purpose of the research is to present a review of SOOM methods used in solving GMS problems.
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| format | Article |
| id | doaj-art-7bc27a1eae1c43e0aa4246ee3dea2a37 |
| institution | Kabale University |
| issn | 1818-653X 2708-8383 |
| language | English |
| publishDate | 2023-03-01 |
| publisher | middle technical university |
| record_format | Article |
| series | Journal of Techniques |
| spelling | doaj-art-7bc27a1eae1c43e0aa4246ee3dea2a372025-01-19T11:01:55Zengmiddle technical universityJournal of Techniques1818-653X2708-83832023-03-015110.51173/jt.v5i1.1214Single Objective Optimization Methods in Electrical Power Systems: A ReviewAli Abdulmunim Ibrahim Al-kharaz0Ahmed Bahaaulddin A.Wahhab1Mohammed Fadhil Ibrahim2Shahab Abdulla3Technical College of Management - Baghdad, Middle Technical University, Baghdad, Iraq.Technical College of Management - Baghdad, Middle Technical University, Baghdad, Iraq.Technical College of Management - Baghdad, Middle Technical University, Baghdad, Iraq.University of Southern Queensland, Ausrtalia Although the scheduling of maintenance tasks for generators is not a new issue, it has recently attracted new attention due to the significant rise in demand for expanding power system size in modern power systems. Generator Maintenance Scheduling (GMS) is a nonlinear optimization problem, highly dimensional and constrained, and determines when power-producing units must undertake well-planned preventative maintenance. The objective function includes binary variables to indicate whether a generator is undergoing maintenance at a given time and is subject to several restrictions described in this paper. However, the biggest concern of GMS is to produce a precise timetable for preventive maintenance of generating units with low cost and high reliability. Despite that, regrettably, a large volume of research works has accomplished solutions towards a model of GMS with the consideration of either maximizing system reliability or minimizing operation costs as an objective of their research work. This is called Single-Objective Problem (SOP), which involves one objective function that needs to be optimized. SOP is solved by Single-Objective Optimization Method (SOOM). The primary purpose of the research is to present a review of SOOM methods used in solving GMS problems. https://journal.mtu.edu.iq/index.php/MTU/article/view/1214Single-Objective OptimizationGenerator maintenance schedulingHeuristicFuzzy logicGenetic algorithms |
| spellingShingle | Ali Abdulmunim Ibrahim Al-kharaz Ahmed Bahaaulddin A.Wahhab Mohammed Fadhil Ibrahim Shahab Abdulla Single Objective Optimization Methods in Electrical Power Systems: A Review Journal of Techniques Single-Objective Optimization Generator maintenance scheduling Heuristic Fuzzy logic Genetic algorithms |
| title | Single Objective Optimization Methods in Electrical Power Systems: A Review |
| title_full | Single Objective Optimization Methods in Electrical Power Systems: A Review |
| title_fullStr | Single Objective Optimization Methods in Electrical Power Systems: A Review |
| title_full_unstemmed | Single Objective Optimization Methods in Electrical Power Systems: A Review |
| title_short | Single Objective Optimization Methods in Electrical Power Systems: A Review |
| title_sort | single objective optimization methods in electrical power systems a review |
| topic | Single-Objective Optimization Generator maintenance scheduling Heuristic Fuzzy logic Genetic algorithms |
| url | https://journal.mtu.edu.iq/index.php/MTU/article/view/1214 |
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