Application the differential evolution for solving the problem of minimizing the power shortage of electric power systems
Based on the experience of domestic and foreign researchers, it is known that there are various mathematical models, software systems, and optimization methods used to solve the set tasks for assessing the resource adequacy of electric power systems (EPS). However, the continuous development of EPS...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2019-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/40/e3sconf_esr2019_03002.pdf |
| _version_ | 1818320778415833088 |
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| author | Iakubovskii D.V. Krupenev D.S. Boyarkin D.A. |
| author_facet | Iakubovskii D.V. Krupenev D.S. Boyarkin D.A. |
| author_sort | Iakubovskii D.V. |
| collection | DOAJ |
| description | Based on the experience of domestic and foreign researchers, it is known that there are various mathematical models, software systems, and optimization methods used to solve the set tasks for assessing the resource adequacy of electric power systems (EPS). However, the continuous development of EPS leads to the complication and integration of systems against the background of which it becomes necessary to take into account an increasing number of its elements and parameters in one task. Thus, for more effective (in terms of speed and accuracy) solutions of modified models, it is required to analyze and search the most appropriate set of optimization methods. In this connection, the purpose of this study is to analyze the applicability and the effectiveness of applying the method of differential evolution and gradient optimization methods for the model of minimizing the power deficit, which should be also compared. The article considers the analysis of the results of the work that optimization methods, studies were conducted on a test isolated EPS, with various tuning parameters. As a result, it was confirmed that these methods could be used to solve the problem. From the point of view of accuracy and resources expended on calculations, the most efficient among the implemented methods was the method of differential evolution, which was confirmed by numerical experiments on the small systems. |
| first_indexed | 2024-12-13T10:30:25Z |
| format | Article |
| id | doaj.art-91f6c348f60848d5a36acb5bc6e92553 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-13T10:30:25Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-91f6c348f60848d5a36acb5bc6e925532022-12-21T23:50:52ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011140300210.1051/e3sconf/201911403002e3sconf_esr2019_03002Application the differential evolution for solving the problem of minimizing the power shortage of electric power systemsIakubovskii D.V.0Krupenev D.S.1Boyarkin D.A.2Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of SciencesMelentiev Energy Systems Institute of Siberian Branch of the Russian Academy of SciencesMelentiev Energy Systems Institute of Siberian Branch of the Russian Academy of SciencesBased on the experience of domestic and foreign researchers, it is known that there are various mathematical models, software systems, and optimization methods used to solve the set tasks for assessing the resource adequacy of electric power systems (EPS). However, the continuous development of EPS leads to the complication and integration of systems against the background of which it becomes necessary to take into account an increasing number of its elements and parameters in one task. Thus, for more effective (in terms of speed and accuracy) solutions of modified models, it is required to analyze and search the most appropriate set of optimization methods. In this connection, the purpose of this study is to analyze the applicability and the effectiveness of applying the method of differential evolution and gradient optimization methods for the model of minimizing the power deficit, which should be also compared. The article considers the analysis of the results of the work that optimization methods, studies were conducted on a test isolated EPS, with various tuning parameters. As a result, it was confirmed that these methods could be used to solve the problem. From the point of view of accuracy and resources expended on calculations, the most efficient among the implemented methods was the method of differential evolution, which was confirmed by numerical experiments on the small systems.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/40/e3sconf_esr2019_03002.pdfenergy systemresource adequacypower shortageoptimization methodsheuristic methods. |
| spellingShingle | Iakubovskii D.V. Krupenev D.S. Boyarkin D.A. Application the differential evolution for solving the problem of minimizing the power shortage of electric power systems E3S Web of Conferences energy system resource adequacy power shortage optimization methods heuristic methods. |
| title | Application the differential evolution for solving the problem of minimizing the power shortage of electric power systems |
| title_full | Application the differential evolution for solving the problem of minimizing the power shortage of electric power systems |
| title_fullStr | Application the differential evolution for solving the problem of minimizing the power shortage of electric power systems |
| title_full_unstemmed | Application the differential evolution for solving the problem of minimizing the power shortage of electric power systems |
| title_short | Application the differential evolution for solving the problem of minimizing the power shortage of electric power systems |
| title_sort | application the differential evolution for solving the problem of minimizing the power shortage of electric power systems |
| topic | energy system resource adequacy power shortage optimization methods heuristic methods. |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/40/e3sconf_esr2019_03002.pdf |
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