A Modified Strength Pareto Evolutionary Algorithm 2 based Environmental /Economic Power Dispatch
A Strength Pareto Evolutionary Algorithm 2 (SPEA 2) approach for solving the multi-objective Environmental / Economic Power Dispatch (EEPD) problem is presented in this paper. In the past fuel cost consumption minimization was the aim (a single objective function) of economic power dispatch problem...
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| Format: | Article |
| Language: | English |
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University of Baghdad
2023-05-01
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| Series: | Journal of Engineering |
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| Online Access: | https://joe.uobaghdad.edu.iq/index.php/main/article/view/2043 |
| _version_ | 1797782915431530496 |
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| author | Hassan Abdullah Kubba Saif Sabah Sami |
| author_facet | Hassan Abdullah Kubba Saif Sabah Sami |
| author_sort | Hassan Abdullah Kubba |
| collection | DOAJ |
| description |
A Strength Pareto Evolutionary Algorithm 2 (SPEA 2) approach for solving the multi-objective Environmental / Economic Power Dispatch (EEPD) problem is presented in this paper. In the past fuel cost consumption minimization was the aim (a single objective function) of economic power dispatch problem. Since the clean air act amendments have been applied to reduce SO2 and NOX emissions from power plants, the utilities change their strategies in order to reduce pollution and atmospheric emission as well, adding emission minimization as other objective function made economic power dispatch (EPD) a multi-objective problem having conflicting objectives. SPEA2 is the improved version of SPEA with better fitness assignment, density estimation, and modified archive truncation. In addition fuzzy set theory is employed to extract the best compromise solution. Several optimization run of the proposed method are carried out on 3-units system and 6-units standard IEEE 30-bus test system. The results demonstrate the capabilities of the proposed method to generate well-distributed Pareto-optimal non-dominated feasible solutions in single run. The comparison with other multi-objective methods demonstrates the superiority of the proposed method.
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| first_indexed | 2024-03-13T00:18:41Z |
| format | Article |
| id | doaj.art-be1949264d3a469bb5a3a2d770d62954 |
| institution | Directory Open Access Journal |
| issn | 1726-4073 2520-3339 |
| language | English |
| last_indexed | 2024-03-13T00:18:41Z |
| publishDate | 2023-05-01 |
| publisher | University of Baghdad |
| record_format | Article |
| series | Journal of Engineering |
| spelling | doaj.art-be1949264d3a469bb5a3a2d770d629542023-07-11T18:34:47ZengUniversity of BaghdadJournal of Engineering1726-40732520-33392023-05-0120310.31026/j.eng.2014.03.10A Modified Strength Pareto Evolutionary Algorithm 2 based Environmental /Economic Power DispatchHassan Abdullah KubbaSaif Sabah Sami A Strength Pareto Evolutionary Algorithm 2 (SPEA 2) approach for solving the multi-objective Environmental / Economic Power Dispatch (EEPD) problem is presented in this paper. In the past fuel cost consumption minimization was the aim (a single objective function) of economic power dispatch problem. Since the clean air act amendments have been applied to reduce SO2 and NOX emissions from power plants, the utilities change their strategies in order to reduce pollution and atmospheric emission as well, adding emission minimization as other objective function made economic power dispatch (EPD) a multi-objective problem having conflicting objectives. SPEA2 is the improved version of SPEA with better fitness assignment, density estimation, and modified archive truncation. In addition fuzzy set theory is employed to extract the best compromise solution. Several optimization run of the proposed method are carried out on 3-units system and 6-units standard IEEE 30-bus test system. The results demonstrate the capabilities of the proposed method to generate well-distributed Pareto-optimal non-dominated feasible solutions in single run. The comparison with other multi-objective methods demonstrates the superiority of the proposed method. https://joe.uobaghdad.edu.iq/index.php/main/article/view/2043Genetic algorithm, multi-objectives optimization, power generation dispatch, power generation economic, pareto distributions. |
| spellingShingle | Hassan Abdullah Kubba Saif Sabah Sami A Modified Strength Pareto Evolutionary Algorithm 2 based Environmental /Economic Power Dispatch Journal of Engineering Genetic algorithm, multi-objectives optimization, power generation dispatch, power generation economic, pareto distributions. |
| title | A Modified Strength Pareto Evolutionary Algorithm 2 based Environmental /Economic Power Dispatch |
| title_full | A Modified Strength Pareto Evolutionary Algorithm 2 based Environmental /Economic Power Dispatch |
| title_fullStr | A Modified Strength Pareto Evolutionary Algorithm 2 based Environmental /Economic Power Dispatch |
| title_full_unstemmed | A Modified Strength Pareto Evolutionary Algorithm 2 based Environmental /Economic Power Dispatch |
| title_short | A Modified Strength Pareto Evolutionary Algorithm 2 based Environmental /Economic Power Dispatch |
| title_sort | modified strength pareto evolutionary algorithm 2 based environmental economic power dispatch |
| topic | Genetic algorithm, multi-objectives optimization, power generation dispatch, power generation economic, pareto distributions. |
| url | https://joe.uobaghdad.edu.iq/index.php/main/article/view/2043 |
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