Performance of the Walrus Optimizer for solving an economic load dispatch problem
A new metaheuristic called the Walrus Optimizer (WO) is inspired by the ways in which walruses move, roost, feed, spawn, gather, and flee in response to important cues (safety and danger signals). In this work, the WO was used to address the economic load dispatch (ELD) issue, which is one of the es...
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AIMS Press
2024-03-01
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| Online Access: | https://aimspress.com/article/doi/10.3934/math.2024494?viewType=HTML |
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| author | Mokhtar Said Essam H. Houssein Eman Abdullah Aldakheel Doaa Sami Khafaga Alaa A. K. Ismaeel |
| author_facet | Mokhtar Said Essam H. Houssein Eman Abdullah Aldakheel Doaa Sami Khafaga Alaa A. K. Ismaeel |
| author_sort | Mokhtar Said |
| collection | DOAJ |
| description | A new metaheuristic called the Walrus Optimizer (WO) is inspired by the ways in which walruses move, roost, feed, spawn, gather, and flee in response to important cues (safety and danger signals). In this work, the WO was used to address the economic load dispatch (ELD) issue, which is one of the essential parts of a power system. One type of ELD was designed to reduce fuel consumption expenses. A variety of methodologies were used to compare the WO's performance in order to determine its reliability. These methods included rime-ice algorithm (RIME), moth search algorithm (MSA), the snow ablation algorithm (SAO), and chimp optimization algorithm (ChOA) for the identical case study. We employed six scenarios: Six generators operating at two loads of 700 and 1000 MW each were employed in the first two cases for the ELD problem. For the ELD problem, the second two scenarios involved ten generators operating at two loads of 2000 MW and 1000 MW. Twenty generators operating at a 3000 MW load were the five cases for the ELD issue. Thirty generators operating at a 5000 MW load were the six cases for the ELD issue. The power mismatch factor was the main cause of ELD problems. The ideal value of this component should be close to zero. Using the WO approach, the ideal power mismatch values of 4.1922E−13 and 4.5119E−13 were found for six generator units at demand loads of 700 MW and 1000 MW, respectively. Using metrics for the minimum, mean, maximum, and standard deviation of fitness function, the procedures were evaluated over thirty separate runs. The WO outperformed all other algorithms, as seen by the results generated for the six ELD case studies. |
| first_indexed | 2024-04-24T21:40:24Z |
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| language | English |
| last_indexed | 2024-04-24T21:40:24Z |
| publishDate | 2024-03-01 |
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| series | AIMS Mathematics |
| spelling | doaj.art-56010327a3ae4df2b15d2cf50e5cfc652024-03-21T05:55:58ZengAIMS PressAIMS Mathematics2473-69882024-03-0194100951012010.3934/math.2024494Performance of the Walrus Optimizer for solving an economic load dispatch problemMokhtar Said0 Essam H. Houssein1Eman Abdullah Aldakheel2Doaa Sami Khafaga3Alaa A. K. Ismaeel41. Electrical Engineering Department, Faculty of Engineering, Fayoum University, Fayoum 43518, Egypt2. Faculty of Computers and Information, Minia University, Minia 61519, Egypt3. Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia3. Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia4. Faculty of Computer Studies (FCS), Arab Open University (AOU), Muscat 130, Oman 5. Faculty of Science, Minia University, Minia 61519, EgyptA new metaheuristic called the Walrus Optimizer (WO) is inspired by the ways in which walruses move, roost, feed, spawn, gather, and flee in response to important cues (safety and danger signals). In this work, the WO was used to address the economic load dispatch (ELD) issue, which is one of the essential parts of a power system. One type of ELD was designed to reduce fuel consumption expenses. A variety of methodologies were used to compare the WO's performance in order to determine its reliability. These methods included rime-ice algorithm (RIME), moth search algorithm (MSA), the snow ablation algorithm (SAO), and chimp optimization algorithm (ChOA) for the identical case study. We employed six scenarios: Six generators operating at two loads of 700 and 1000 MW each were employed in the first two cases for the ELD problem. For the ELD problem, the second two scenarios involved ten generators operating at two loads of 2000 MW and 1000 MW. Twenty generators operating at a 3000 MW load were the five cases for the ELD issue. Thirty generators operating at a 5000 MW load were the six cases for the ELD issue. The power mismatch factor was the main cause of ELD problems. The ideal value of this component should be close to zero. Using the WO approach, the ideal power mismatch values of 4.1922E−13 and 4.5119E−13 were found for six generator units at demand loads of 700 MW and 1000 MW, respectively. Using metrics for the minimum, mean, maximum, and standard deviation of fitness function, the procedures were evaluated over thirty separate runs. The WO outperformed all other algorithms, as seen by the results generated for the six ELD case studies.https://aimspress.com/article/doi/10.3934/math.2024494?viewType=HTMLwalrus optimizereconomic load dispatchpower system |
| spellingShingle | Mokhtar Said Essam H. Houssein Eman Abdullah Aldakheel Doaa Sami Khafaga Alaa A. K. Ismaeel Performance of the Walrus Optimizer for solving an economic load dispatch problem AIMS Mathematics walrus optimizer economic load dispatch power system |
| title | Performance of the Walrus Optimizer for solving an economic load dispatch problem |
| title_full | Performance of the Walrus Optimizer for solving an economic load dispatch problem |
| title_fullStr | Performance of the Walrus Optimizer for solving an economic load dispatch problem |
| title_full_unstemmed | Performance of the Walrus Optimizer for solving an economic load dispatch problem |
| title_short | Performance of the Walrus Optimizer for solving an economic load dispatch problem |
| title_sort | performance of the walrus optimizer for solving an economic load dispatch problem |
| topic | walrus optimizer economic load dispatch power system |
| url | https://aimspress.com/article/doi/10.3934/math.2024494?viewType=HTML |
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