Application of Intelligent Systems in Volt-VAr Centralized Control in Modern Distribution Systems of Electrical Energy
Centralized control of voltage magnitude and reactive power (Volt-VAr) is a highly complex combinatorial problem that seeks to determine the optimal adjustment of a set of control variables such as active and reactive power generation of distributed generators (DGs), modules in operation of capacito...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/3/446 |
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| author | Hugo A. R. Florez Gloria P. López Edgar M. Carreño-Franco Jesús M. López-Lezama Nicolás Muñoz-Galeano |
| author_facet | Hugo A. R. Florez Gloria P. López Edgar M. Carreño-Franco Jesús M. López-Lezama Nicolás Muñoz-Galeano |
| author_sort | Hugo A. R. Florez |
| collection | DOAJ |
| description | Centralized control of voltage magnitude and reactive power (Volt-VAr) is a highly complex combinatorial problem that seeks to determine the optimal adjustment of a set of control variables such as active and reactive power generation of distributed generators (DGs), modules in operation of capacitor banks, and voltage regulator taps; these with the purpose of ensuring an optimal operation of distribution systems. Looking for tools that allow real-time automation of this type of control, this study applies different intelligent system (ISs) techniques, such as decision trees, artificial neural networks, and support vector machines. Voltage magnitudes at nodes, current flow magnitudes in the circuits, and active and reactive power injections at the nodes at different grid points were used as input data. Training was performed from available measurements and actions recorded at the system control center. The tests were performed in a 42-bus distribution test system demonstrating the efficiency and robustness of the proposed solution techniques when compared with the results of a conventional mathematical model. |
| first_indexed | 2024-03-10T00:00:24Z |
| format | Article |
| id | doaj.art-6c28f0ed1cef4a4a87793053db1256fb |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T00:00:24Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-6c28f0ed1cef4a4a87793053db1256fb2023-11-23T16:17:04ZengMDPI AGElectronics2079-92922022-02-0111344610.3390/electronics11030446Application of Intelligent Systems in Volt-VAr Centralized Control in Modern Distribution Systems of Electrical EnergyHugo A. R. Florez0Gloria P. López1Edgar M. Carreño-Franco2Jesús M. López-Lezama3Nicolás Muñoz-Galeano4Department of Electrical Engineering-UTFPR, Medianeira 85884-000, PR, BrazilAcademic Department of Computational Science-UTFPR, Santa Helena 85892-000, PR, BrazilDepartment of Electrical Engineering CECE-UNIOESTE, Foz du Iguaçu 85870-650, PR, BrazilResearch Group on Efficient Energy Management (GIMEL), Department of Electrical Engineering, Universidad de Antioquia, Medellin 050010, ColombiaResearch Group on Efficient Energy Management (GIMEL), Department of Electrical Engineering, Universidad de Antioquia, Medellin 050010, ColombiaCentralized control of voltage magnitude and reactive power (Volt-VAr) is a highly complex combinatorial problem that seeks to determine the optimal adjustment of a set of control variables such as active and reactive power generation of distributed generators (DGs), modules in operation of capacitor banks, and voltage regulator taps; these with the purpose of ensuring an optimal operation of distribution systems. Looking for tools that allow real-time automation of this type of control, this study applies different intelligent system (ISs) techniques, such as decision trees, artificial neural networks, and support vector machines. Voltage magnitudes at nodes, current flow magnitudes in the circuits, and active and reactive power injections at the nodes at different grid points were used as input data. Training was performed from available measurements and actions recorded at the system control center. The tests were performed in a 42-bus distribution test system demonstrating the efficiency and robustness of the proposed solution techniques when compared with the results of a conventional mathematical model.https://www.mdpi.com/2079-9292/11/3/446artificial neural networkscentralized Volt/VAr controldecision treesintelligent systemsreal-time operationsupport vector machines |
| spellingShingle | Hugo A. R. Florez Gloria P. López Edgar M. Carreño-Franco Jesús M. López-Lezama Nicolás Muñoz-Galeano Application of Intelligent Systems in Volt-VAr Centralized Control in Modern Distribution Systems of Electrical Energy Electronics artificial neural networks centralized Volt/VAr control decision trees intelligent systems real-time operation support vector machines |
| title | Application of Intelligent Systems in Volt-VAr Centralized Control in Modern Distribution Systems of Electrical Energy |
| title_full | Application of Intelligent Systems in Volt-VAr Centralized Control in Modern Distribution Systems of Electrical Energy |
| title_fullStr | Application of Intelligent Systems in Volt-VAr Centralized Control in Modern Distribution Systems of Electrical Energy |
| title_full_unstemmed | Application of Intelligent Systems in Volt-VAr Centralized Control in Modern Distribution Systems of Electrical Energy |
| title_short | Application of Intelligent Systems in Volt-VAr Centralized Control in Modern Distribution Systems of Electrical Energy |
| title_sort | application of intelligent systems in volt var centralized control in modern distribution systems of electrical energy |
| topic | artificial neural networks centralized Volt/VAr control decision trees intelligent systems real-time operation support vector machines |
| url | https://www.mdpi.com/2079-9292/11/3/446 |
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