Method for selecting parameters and assessing efficiency of wind-diesel power plants for autonomous electrical supply systems

The article presents an original technique for selecting parameters and evaluating the efficiency of wind-diesel power plants for isolated power supply systems. The initial data to perform energy calculations are simulation models of electric load and wind speed. The load is simulated using typical...

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Published in:IOP Conference Series: Materials Science and Engineering
Main Authors: Obukhov, Sergey Gennadievich, Plotnikov, Igor Aleksandrovich, Masolov, V. G.
Format: Conference Object
Language:English
Published: IOP Publishing 2018
Subjects:
Online Access:http://earchive.tpu.ru/handle/11683/47002
https://doi.org/10.1088/1757-899X/289/1/012026
id fttomskpuniv:oai:earchive.tpu.ru:11683/47002
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spelling fttomskpuniv:oai:earchive.tpu.ru:11683/47002 2023-05-15T18:06:42+02:00 Method for selecting parameters and assessing efficiency of wind-diesel power plants for autonomous electrical supply systems Obukhov, Sergey Gennadievich Plotnikov, Igor Aleksandrovich Masolov, V. G. 2018 http://earchive.tpu.ru/handle/11683/47002 https://doi.org/10.1088/1757-899X/289/1/012026 en eng IOP Publishing IOP Conference Series: Materials Science and Engineering. Vol. 289 : Modern Technologies for Non-Destructive Testing. — Bristol, 2018. info:eu-repo/semantics/openAccess оценка эффективности ветро-дизельные энеростанции автономные системы электроснабжение электрические нагрузки метеорологические наблюдения Якутия Conference Paper info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferencePaper 2018 fttomskpuniv https://doi.org/10.1088/1757-899X/289/1/012026 2019-10-05T20:02:57Z The article presents an original technique for selecting parameters and evaluating the efficiency of wind-diesel power plants for isolated power supply systems. The initial data to perform energy calculations are simulation models of electric load and wind speed. The load is simulated using typical schedules of electric loads of a decentralized consumer, taking into account a random component for each hour of the day. To create a simulation model of the wind, a typical climatic series of wind speeds at a prospective site of the power plant has been constructed according to the data of long-term meteorological observations. The proposed technique was verified through the example of choosing a wind-diesel power plant for the village of Ust-Olenyok of the Republic of Sakha (Yakutia). Conference Object Republic of Sakha Yakutia Якути* Якутия Tomsk Polytechnic University (TPU): Electronic Archive Sakha Olenyok ENVELOPE(112.449,112.449,68.505,68.505) IOP Conference Series: Materials Science and Engineering 289 012026
institution Open Polar
collection Tomsk Polytechnic University (TPU): Electronic Archive
op_collection_id fttomskpuniv
language English
topic оценка эффективности
ветро-дизельные энеростанции
автономные системы
электроснабжение
электрические нагрузки
метеорологические наблюдения
Якутия
spellingShingle оценка эффективности
ветро-дизельные энеростанции
автономные системы
электроснабжение
электрические нагрузки
метеорологические наблюдения
Якутия
Obukhov, Sergey Gennadievich
Plotnikov, Igor Aleksandrovich
Masolov, V. G.
Method for selecting parameters and assessing efficiency of wind-diesel power plants for autonomous electrical supply systems
topic_facet оценка эффективности
ветро-дизельные энеростанции
автономные системы
электроснабжение
электрические нагрузки
метеорологические наблюдения
Якутия
description The article presents an original technique for selecting parameters and evaluating the efficiency of wind-diesel power plants for isolated power supply systems. The initial data to perform energy calculations are simulation models of electric load and wind speed. The load is simulated using typical schedules of electric loads of a decentralized consumer, taking into account a random component for each hour of the day. To create a simulation model of the wind, a typical climatic series of wind speeds at a prospective site of the power plant has been constructed according to the data of long-term meteorological observations. The proposed technique was verified through the example of choosing a wind-diesel power plant for the village of Ust-Olenyok of the Republic of Sakha (Yakutia).
format Conference Object
author Obukhov, Sergey Gennadievich
Plotnikov, Igor Aleksandrovich
Masolov, V. G.
author_facet Obukhov, Sergey Gennadievich
Plotnikov, Igor Aleksandrovich
Masolov, V. G.
author_sort Obukhov, Sergey Gennadievich
title Method for selecting parameters and assessing efficiency of wind-diesel power plants for autonomous electrical supply systems
title_short Method for selecting parameters and assessing efficiency of wind-diesel power plants for autonomous electrical supply systems
title_full Method for selecting parameters and assessing efficiency of wind-diesel power plants for autonomous electrical supply systems
title_fullStr Method for selecting parameters and assessing efficiency of wind-diesel power plants for autonomous electrical supply systems
title_full_unstemmed Method for selecting parameters and assessing efficiency of wind-diesel power plants for autonomous electrical supply systems
title_sort method for selecting parameters and assessing efficiency of wind-diesel power plants for autonomous electrical supply systems
publisher IOP Publishing
publishDate 2018
url http://earchive.tpu.ru/handle/11683/47002
https://doi.org/10.1088/1757-899X/289/1/012026
long_lat ENVELOPE(112.449,112.449,68.505,68.505)
geographic Sakha
Olenyok
geographic_facet Sakha
Olenyok
genre Republic of Sakha
Yakutia
Якути*
Якутия
genre_facet Republic of Sakha
Yakutia
Якути*
Якутия
op_relation IOP Conference Series: Materials Science and Engineering. Vol. 289 : Modern Technologies for Non-Destructive Testing. — Bristol, 2018.
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1088/1757-899X/289/1/012026
container_title IOP Conference Series: Materials Science and Engineering
container_volume 289
container_start_page 012026
_version_ 1766178350679719936