Development of an intelligent system for integrated management of hydroelectric cascade modes

The paper deals with an isolated electric power system (EPS) based on hydroelectric power plants. The analysis of the existing methods and approaches for investigation of modes of EPS which comprise hydroelectric power plants is presented. A mathematical model of a hydroelectric station cascade has...

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Main Authors: Rusina A.G., Khudzhasaidov Dzh Kh, Naumov O.V., Gorlov A.N.
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/50/e3sconf_ses18_05019.pdf
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spelling doaj-c26f74f766a444d3b77dcc96da25bc272021-04-02T12:57:06ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011240501910.1051/e3sconf/201912405019e3sconf_ses18_05019Development of an intelligent system for integrated management of hydroelectric cascade modesRusina A.G.0Khudzhasaidov Dzh Kh1Naumov O.V.2Gorlov A.N.3Novosibirsk State Technical UniversityTajik Technical UniversityKazan State Power Engineering UniversityThe Southwest State UniversityThe paper deals with an isolated electric power system (EPS) based on hydroelectric power plants. The analysis of the existing methods and approaches for investigation of modes of EPS which comprise hydroelectric power plants is presented. A mathematical model of a hydroelectric station cascade has been developed, which allows taking into account the hydraulic connection during calculation of electrical modes. A software tool for optimization the operating modes of hydroelectric power plants as part of the power system was developed. It uses redistribution the load between hydraulic units both inside the station and between hydroelectric complexes of cascade hydroelectric stations. The task of modeling power consumption and load graphs of EPS with specific properties, based on the application of artificial intelligence methods, is considered.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/50/e3sconf_ses18_05019.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Rusina A.G.
Khudzhasaidov Dzh Kh
Naumov O.V.
Gorlov A.N.
spellingShingle Rusina A.G.
Khudzhasaidov Dzh Kh
Naumov O.V.
Gorlov A.N.
Development of an intelligent system for integrated management of hydroelectric cascade modes
E3S Web of Conferences
author_facet Rusina A.G.
Khudzhasaidov Dzh Kh
Naumov O.V.
Gorlov A.N.
author_sort Rusina A.G.
title Development of an intelligent system for integrated management of hydroelectric cascade modes
title_short Development of an intelligent system for integrated management of hydroelectric cascade modes
title_full Development of an intelligent system for integrated management of hydroelectric cascade modes
title_fullStr Development of an intelligent system for integrated management of hydroelectric cascade modes
title_full_unstemmed Development of an intelligent system for integrated management of hydroelectric cascade modes
title_sort development of an intelligent system for integrated management of hydroelectric cascade modes
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2019-01-01
description The paper deals with an isolated electric power system (EPS) based on hydroelectric power plants. The analysis of the existing methods and approaches for investigation of modes of EPS which comprise hydroelectric power plants is presented. A mathematical model of a hydroelectric station cascade has been developed, which allows taking into account the hydraulic connection during calculation of electrical modes. A software tool for optimization the operating modes of hydroelectric power plants as part of the power system was developed. It uses redistribution the load between hydraulic units both inside the station and between hydroelectric complexes of cascade hydroelectric stations. The task of modeling power consumption and load graphs of EPS with specific properties, based on the application of artificial intelligence methods, is considered.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/50/e3sconf_ses18_05019.pdf
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