Development and research of an intelligent control system and protection of electrical network equipment
The key element of an intelligent energy system with an active-adaptive network is relay protection, designed to ensure uninterrupted and stable operation of the energy system. The goal of the work is the development and research of intelligent control systems, protection and automation of electrica...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/24/e3sconf_aees2024_03008.pdf |
| _version_ | 1797299446412738560 |
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| author | Bashirov Mussa Vildanov Rauf Sabiryanova Aigul Fokin Danil Isaev Evgeniy |
| author_facet | Bashirov Mussa Vildanov Rauf Sabiryanova Aigul Fokin Danil Isaev Evgeniy |
| author_sort | Bashirov Mussa |
| collection | DOAJ |
| description | The key element of an intelligent energy system with an active-adaptive network is relay protection, designed to ensure uninterrupted and stable operation of the energy system. The goal of the work is the development and research of intelligent control systems, protection and automation of electrical networks. Research has been carried out on an intelligent security system to determine the boundaries of restrictions in the use of artificial intelligence. The authors supplemented the existing complex with physical models of the power supply system with a digital twin, an artificial neural network, and studied the complex in order to answer some questions about the use of a neural network in relay protection. An iterative approach to software development, supervised machine learning method, and Python programming language were used. Pychram Community Edition was chosen as the integrated development environment. Intelligent system software has been developed, including a digital twin, an executive part and a neural network model, which makes it possible to recognize types of short circuits in the electrical network. The works of domestic and foreign authors on this topic are considered. |
| first_indexed | 2024-03-07T22:49:47Z |
| format | Article |
| id | doaj.art-c6d43bf0996c40058bcd2f9f01bf25d9 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-07T22:49:47Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-c6d43bf0996c40058bcd2f9f01bf25d92024-02-23T10:28:20ZengEDP SciencesE3S Web of Conferences2267-12422024-01-014940300810.1051/e3sconf/202449403008e3sconf_aees2024_03008Development and research of an intelligent control system and protection of electrical network equipmentBashirov Mussa0Vildanov Rauf1Sabiryanova Aigul2Fokin Danil3Isaev Evgeniy4Ufa State Petroleum Technical UniversityUfa State Petroleum Technical UniversityUfa State Petroleum Technical UniversityUfa State Petroleum Technical UniversityUfa State Petroleum Technical UniversityThe key element of an intelligent energy system with an active-adaptive network is relay protection, designed to ensure uninterrupted and stable operation of the energy system. The goal of the work is the development and research of intelligent control systems, protection and automation of electrical networks. Research has been carried out on an intelligent security system to determine the boundaries of restrictions in the use of artificial intelligence. The authors supplemented the existing complex with physical models of the power supply system with a digital twin, an artificial neural network, and studied the complex in order to answer some questions about the use of a neural network in relay protection. An iterative approach to software development, supervised machine learning method, and Python programming language were used. Pychram Community Edition was chosen as the integrated development environment. Intelligent system software has been developed, including a digital twin, an executive part and a neural network model, which makes it possible to recognize types of short circuits in the electrical network. The works of domestic and foreign authors on this topic are considered.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/24/e3sconf_aees2024_03008.pdf |
| spellingShingle | Bashirov Mussa Vildanov Rauf Sabiryanova Aigul Fokin Danil Isaev Evgeniy Development and research of an intelligent control system and protection of electrical network equipment E3S Web of Conferences |
| title | Development and research of an intelligent control system and protection of electrical network equipment |
| title_full | Development and research of an intelligent control system and protection of electrical network equipment |
| title_fullStr | Development and research of an intelligent control system and protection of electrical network equipment |
| title_full_unstemmed | Development and research of an intelligent control system and protection of electrical network equipment |
| title_short | Development and research of an intelligent control system and protection of electrical network equipment |
| title_sort | development and research of an intelligent control system and protection of electrical network equipment |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/24/e3sconf_aees2024_03008.pdf |
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