Please use this identifier to cite or link to this item:
http://earchive.tpu.ru/handle/11683/47002
Title: | Method for selecting parameters and assessing efficiency of wind-diesel power plants for autonomous electrical supply systems |
Authors: | Obukhov, Sergey Gennadievich Plotnikov, Igor Aleksandrovich Masolov, V. G. |
Keywords: | оценка эффективности; ветро-дизельные энеростанции; автономные системы; электроснабжение; электрические нагрузки; метеорологические наблюдения; Якутия |
Issue Date: | 2018 |
Publisher: | IOP Publishing |
Citation: | Obukhov S. G. Method for selecting parameters and assessing efficiency of wind-diesel power plants for autonomous electrical supply systems / S. G. Obukhov, I. A. Plotnikov, V. G. Masolov // IOP Conference Series: Materials Science and Engineering. — 2018. — Vol. 289 : Modern Technologies for Non-Destructive Testing : 6th International Conference, 9–14 October 2017, Tomsk, Russian Federation : [proceedings]. — [012026, 6 p.]. |
Abstract: | 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). |
URI: | http://earchive.tpu.ru/handle/11683/47002 |
Appears in Collections: | Материалы конференций |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
dx.doi.org-10.1088-1757-899X-289-1-012026.pdf | 310,59 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.