Development of Long-Term Forecast Energy Balances in the Power System of Siberia
The article discusses the features of the development of long-term energy balances in the interconnected power system of Siberia (IPS). The main feature of the IPS of Siberia is a high proportion of hydro power plants and, as a result, a strong dependence of electricity generation on natural fluctua...
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EDP Sciences
2021-01-01
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Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/65/e3sconf_esr2021_01008.pdf |
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doaj-436d8f6bfb9a4304b7596ead82c879352021-07-15T06:53:43ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012890100810.1051/e3sconf/202128901008e3sconf_esr2021_01008Development of Long-Term Forecast Energy Balances in the Power System of SiberiaMalinovskaya Elena0post-graduate student at Melentiev Energy Systems Institute, Siberian Branch of the Russian Academy of SciencesThe article discusses the features of the development of long-term energy balances in the interconnected power system of Siberia (IPS). The main feature of the IPS of Siberia is a high proportion of hydro power plants and, as a result, a strong dependence of electricity generation on natural fluctuations in water inflow into reservoirs. In the power output of the HPPs of the Angara-Yenisei cascade, depending on the water availability conditions, the deviation from the long-term average values can be up to 30% or 31 ÷ 36 billion kWh per year. The development of long-term energy balances and an increase in the efficiency of the operation modes of the HPPs of the Angara-Yenisei cascade makes it possible to identify in advance possible risks in the operation of the water management system of the Angara-Yenisei basin and the unified energy system of Siberia, thereby ensuring a more balanced operation of the power system as a whole.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/65/e3sconf_esr2021_01008.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Malinovskaya Elena |
spellingShingle |
Malinovskaya Elena Development of Long-Term Forecast Energy Balances in the Power System of Siberia E3S Web of Conferences |
author_facet |
Malinovskaya Elena |
author_sort |
Malinovskaya Elena |
title |
Development of Long-Term Forecast Energy Balances in the Power System of Siberia |
title_short |
Development of Long-Term Forecast Energy Balances in the Power System of Siberia |
title_full |
Development of Long-Term Forecast Energy Balances in the Power System of Siberia |
title_fullStr |
Development of Long-Term Forecast Energy Balances in the Power System of Siberia |
title_full_unstemmed |
Development of Long-Term Forecast Energy Balances in the Power System of Siberia |
title_sort |
development of long-term forecast energy balances in the power system of siberia |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2021-01-01 |
description |
The article discusses the features of the development of long-term energy balances in the interconnected power system of Siberia (IPS). The main feature of the IPS of Siberia is a high proportion of hydro power plants and, as a result, a strong dependence of electricity generation on natural fluctuations in water inflow into reservoirs. In the power output of the HPPs of the Angara-Yenisei cascade, depending on the water availability conditions, the deviation from the long-term average values can be up to 30% or 31 ÷ 36 billion kWh per year. The development of long-term energy balances and an increase in the efficiency of the operation modes of the HPPs of the Angara-Yenisei cascade makes it possible to identify in advance possible risks in the operation of the water management system of the Angara-Yenisei basin and the unified energy system of Siberia, thereby ensuring a more balanced operation of the power system as a whole. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/65/e3sconf_esr2021_01008.pdf |
work_keys_str_mv |
AT malinovskayaelena developmentoflongtermforecastenergybalancesinthepowersystemofsiberia |
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1721301632127336448 |