Research of mathematical models for minimizing power shortage with quadratic losses in power lines and with using network coefficients (sensitivity coefficients)
The article presents an analysis of the models for minimizing the power shortage used in adequacy assessment by the Monte Carlo method. We analysed two models: a model with quadratic losses in power lines and a model using network coefficients (first-order sensitivity coefficients), that are showing...
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2020-01-01
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doaj-544559228a0649b89d418fa869ed6f732021-04-02T18:59:23ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012160100910.1051/e3sconf/202021601009e3sconf_rses2020_01009Research of mathematical models for minimizing power shortage with quadratic losses in power lines and with using network coefficients (sensitivity coefficients)Krupenev DmitryBoyarkin DenisIakubovskii Dmitrii0Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of SciencesThe article presents an analysis of the models for minimizing the power shortage used in adequacy assessment by the Monte Carlo method. We analysed two models: a model with quadratic losses in power lines and a model using network coefficients (first-order sensitivity coefficients), that are showing the dependence of the change in power flows through power lines on the balance of generation / consumption in the reliability zones. As a result of the analysis, a conclusion is made about the applicability of the investigated models for adequacy assessment in the long-term planning of the development of electric power systems.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/76/e3sconf_rses2020_01009.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Krupenev Dmitry Boyarkin Denis Iakubovskii Dmitrii |
spellingShingle |
Krupenev Dmitry Boyarkin Denis Iakubovskii Dmitrii Research of mathematical models for minimizing power shortage with quadratic losses in power lines and with using network coefficients (sensitivity coefficients) E3S Web of Conferences |
author_facet |
Krupenev Dmitry Boyarkin Denis Iakubovskii Dmitrii |
author_sort |
Krupenev Dmitry |
title |
Research of mathematical models for minimizing power shortage with quadratic losses in power lines and with using network coefficients (sensitivity coefficients) |
title_short |
Research of mathematical models for minimizing power shortage with quadratic losses in power lines and with using network coefficients (sensitivity coefficients) |
title_full |
Research of mathematical models for minimizing power shortage with quadratic losses in power lines and with using network coefficients (sensitivity coefficients) |
title_fullStr |
Research of mathematical models for minimizing power shortage with quadratic losses in power lines and with using network coefficients (sensitivity coefficients) |
title_full_unstemmed |
Research of mathematical models for minimizing power shortage with quadratic losses in power lines and with using network coefficients (sensitivity coefficients) |
title_sort |
research of mathematical models for minimizing power shortage with quadratic losses in power lines and with using network coefficients (sensitivity coefficients) |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2020-01-01 |
description |
The article presents an analysis of the models for minimizing the power shortage used in adequacy assessment by the Monte Carlo method. We analysed two models: a model with quadratic losses in power lines and a model using network coefficients (first-order sensitivity coefficients), that are showing the dependence of the change in power flows through power lines on the balance of generation / consumption in the reliability zones. As a result of the analysis, a conclusion is made about the applicability of the investigated models for adequacy assessment in the long-term planning of the development of electric power systems. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/76/e3sconf_rses2020_01009.pdf |
work_keys_str_mv |
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