A Novel Social Spider Optimization Algorithm for Large-Scale Economic Load Dispatch Problem
The paper develops an improved social spider optimization algorithm (ISSO) for finding optimal solutions of economic load dispatch (ELD) problems. Different ELD problem study cases can bring huge challenges for testing the robustness and effectiveness of the proposed ISSO method since discontinuous...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-03-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/12/6/1075 |
| _version_ | 1798040776174731264 |
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| author | Le Chi Kien Thang Trung Nguyen Chiem Trong Hien Minh Quan Duong |
| author_facet | Le Chi Kien Thang Trung Nguyen Chiem Trong Hien Minh Quan Duong |
| author_sort | Le Chi Kien |
| collection | DOAJ |
| description | The paper develops an improved social spider optimization algorithm (ISSO) for finding optimal solutions of economic load dispatch (ELD) problems. Different ELD problem study cases can bring huge challenges for testing the robustness and effectiveness of the proposed ISSO method since discontinuous objective functions as well as complicated constraints are taken into account. The improved method is different from original social spider optimization algorithm (SSSO) by performing several modifications directly related to three processes of new solution generation. Namely, the proposed method keeps one formula for the first and the second generations and modify them effectively while SSSO has two different formulas for each generation. In the third generation, the proposed method applies a new formula for determining the mating radius of dominant males and females with the intent to expand search space and avoid falling into local zones. The modifications can support the proposed ISSO method find better solutions with faster manner than SSSO while the number of control parameters and the number of computational processes can be reduced. As a result, the proposed method can find much less generation cost and achieve faster search speeds than SSSO for all considered systems. On the other hand, the search ability evaluation of the proposed method is also given by comparing results with other existing methods available in previous studies. The proposed method can obtain approximate or better results and faster convergence than nearly all compared methods excluding for the last system. Consequently, the proposed ISSO method can be recommended to be a strong method for ELD problem and it can be tried for other mathematical problems in engineering. |
| first_indexed | 2024-04-11T22:12:20Z |
| format | Article |
| id | doaj.art-fc07753143ce49e5919eedfedd15338c |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T22:12:20Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-fc07753143ce49e5919eedfedd15338c2022-12-22T04:00:32ZengMDPI AGEnergies1996-10732019-03-01126107510.3390/en12061075en12061075A Novel Social Spider Optimization Algorithm for Large-Scale Economic Load Dispatch ProblemLe Chi Kien0Thang Trung Nguyen1Chiem Trong Hien2Minh Quan Duong3Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City 700000, VietnamPower System Optimization Research Group, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, VietnamFaculty of Electrical and Electronic Technology, Ho Chi Minh City University of Food Industry, Ho Chi Minh City 700000, VietnamDepartment of Electrical Engineering, The University of Da Nang, University of Science and Technology, Da Nang city 550000, VietnamThe paper develops an improved social spider optimization algorithm (ISSO) for finding optimal solutions of economic load dispatch (ELD) problems. Different ELD problem study cases can bring huge challenges for testing the robustness and effectiveness of the proposed ISSO method since discontinuous objective functions as well as complicated constraints are taken into account. The improved method is different from original social spider optimization algorithm (SSSO) by performing several modifications directly related to three processes of new solution generation. Namely, the proposed method keeps one formula for the first and the second generations and modify them effectively while SSSO has two different formulas for each generation. In the third generation, the proposed method applies a new formula for determining the mating radius of dominant males and females with the intent to expand search space and avoid falling into local zones. The modifications can support the proposed ISSO method find better solutions with faster manner than SSSO while the number of control parameters and the number of computational processes can be reduced. As a result, the proposed method can find much less generation cost and achieve faster search speeds than SSSO for all considered systems. On the other hand, the search ability evaluation of the proposed method is also given by comparing results with other existing methods available in previous studies. The proposed method can obtain approximate or better results and faster convergence than nearly all compared methods excluding for the last system. Consequently, the proposed ISSO method can be recommended to be a strong method for ELD problem and it can be tried for other mathematical problems in engineering.https://www.mdpi.com/1996-1073/12/6/1075improved social spider optimizationeconomic load dispatchsingle fuel sourcemultiple fuel sourcesvalve effectsthermal generating unit |
| spellingShingle | Le Chi Kien Thang Trung Nguyen Chiem Trong Hien Minh Quan Duong A Novel Social Spider Optimization Algorithm for Large-Scale Economic Load Dispatch Problem Energies improved social spider optimization economic load dispatch single fuel source multiple fuel sources valve effects thermal generating unit |
| title | A Novel Social Spider Optimization Algorithm for Large-Scale Economic Load Dispatch Problem |
| title_full | A Novel Social Spider Optimization Algorithm for Large-Scale Economic Load Dispatch Problem |
| title_fullStr | A Novel Social Spider Optimization Algorithm for Large-Scale Economic Load Dispatch Problem |
| title_full_unstemmed | A Novel Social Spider Optimization Algorithm for Large-Scale Economic Load Dispatch Problem |
| title_short | A Novel Social Spider Optimization Algorithm for Large-Scale Economic Load Dispatch Problem |
| title_sort | novel social spider optimization algorithm for large scale economic load dispatch problem |
| topic | improved social spider optimization economic load dispatch single fuel source multiple fuel sources valve effects thermal generating unit |
| url | https://www.mdpi.com/1996-1073/12/6/1075 |
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