The Multiobjective Control Based on Tolerance Optimization in a Multienergy System
To address the issue of multiobjective control in multienergy systems with diverse operational objectives, a two-stage optimization framework based on expected point tolerance has been proposed in this paper. In the first stage, a single objective function is used for optimization control to obtain...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2024/9991046 |
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| author | Suliang Ma Yaxin Li Yuan Jiang Yiwen Wu Guanglin Sha |
| author_facet | Suliang Ma Yaxin Li Yuan Jiang Yiwen Wu Guanglin Sha |
| author_sort | Suliang Ma |
| collection | DOAJ |
| description | To address the issue of multiobjective control in multienergy systems with diverse operational objectives, a two-stage optimization framework based on expected point tolerance has been proposed in this paper. In the first stage, a single objective function is used for optimization control to obtain the expected point of the multiobjective optimization problem. Then, in the second stage, by defining the allowable deviation between each optimization objective and the expected point, the original multiobjective optimization problem is transformed into a single objective optimization problem solution with tolerance measurement. Finally, in the simulation scene of a multienergy system, it is demonstrated that compared with the optimal results under each single objective method, the proposed method increases power line loss, maximum voltage deviation, new energy consumption, and economy by 2.22, 2.30, 1.02, and 2.45 times, respectively. Compared with the suboptimal results, the proposed method reduces power line loss by 22.26, 1.74, 1.09, and 0.97 times, respectively. Combining the shape of the Pareto frontier, it is demonstrated that the proposed method can comprehensively consider the needs of multiple power optimization objectives for forming a more reasonable and effective system optimization scheduling and also provide a new approach for solving multiobjective optimization problems. |
| format | Article |
| id | doaj-art-41e3d7260fe840abac24d37cb25f960a |
| institution | DOAJ |
| issn | 2050-7038 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-41e3d7260fe840abac24d37cb25f960a2025-08-20T02:39:16ZengWileyInternational Transactions on Electrical Energy Systems2050-70382024-01-01202410.1155/2024/9991046The Multiobjective Control Based on Tolerance Optimization in a Multienergy SystemSuliang Ma0Yaxin Li1Yuan Jiang2Yiwen Wu3Guanglin Sha4School of Electrical and Control EngineeringSchool of Electrical and Control EngineeringSchool of Automation and Electrical EngineeringSchool of Electrical and Control EngineeringDistribution Technology CenterTo address the issue of multiobjective control in multienergy systems with diverse operational objectives, a two-stage optimization framework based on expected point tolerance has been proposed in this paper. In the first stage, a single objective function is used for optimization control to obtain the expected point of the multiobjective optimization problem. Then, in the second stage, by defining the allowable deviation between each optimization objective and the expected point, the original multiobjective optimization problem is transformed into a single objective optimization problem solution with tolerance measurement. Finally, in the simulation scene of a multienergy system, it is demonstrated that compared with the optimal results under each single objective method, the proposed method increases power line loss, maximum voltage deviation, new energy consumption, and economy by 2.22, 2.30, 1.02, and 2.45 times, respectively. Compared with the suboptimal results, the proposed method reduces power line loss by 22.26, 1.74, 1.09, and 0.97 times, respectively. Combining the shape of the Pareto frontier, it is demonstrated that the proposed method can comprehensively consider the needs of multiple power optimization objectives for forming a more reasonable and effective system optimization scheduling and also provide a new approach for solving multiobjective optimization problems.http://dx.doi.org/10.1155/2024/9991046 |
| spellingShingle | Suliang Ma Yaxin Li Yuan Jiang Yiwen Wu Guanglin Sha The Multiobjective Control Based on Tolerance Optimization in a Multienergy System International Transactions on Electrical Energy Systems |
| title | The Multiobjective Control Based on Tolerance Optimization in a Multienergy System |
| title_full | The Multiobjective Control Based on Tolerance Optimization in a Multienergy System |
| title_fullStr | The Multiobjective Control Based on Tolerance Optimization in a Multienergy System |
| title_full_unstemmed | The Multiobjective Control Based on Tolerance Optimization in a Multienergy System |
| title_short | The Multiobjective Control Based on Tolerance Optimization in a Multienergy System |
| title_sort | multiobjective control based on tolerance optimization in a multienergy system |
| url | http://dx.doi.org/10.1155/2024/9991046 |
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