Comparative analysis of power system generation adequacy calculating techniques
Calculating generation adequacy indices (GAI) is performed not only for planning problems but also for on-line computation. Practically, the main mathematical method for calculating GAI of electrical grid with complex structure is Monte-Carlo simulation (MCS). It provides sufficiently accurate resul...
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Kazan State Power Engineering University
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doaj-463a3028ea8547a382e029f359b031182021-07-28T13:16:29ZengKazan State Power Engineering UniversityИзвестия высших учебных заведений: Проблемы энергетики1998-99032017-12-0109-1011912510.30724/1998-9903-2016-0-9-10-119-125310Comparative analysis of power system generation adequacy calculating techniquesR. T. Valiev0V. P. Oboskalov1S. A. Gusev2Уральский федеральный университетИнститут теплофизики УрО РАНУральский федеральный университетCalculating generation adequacy indices (GAI) is performed not only for planning problems but also for on-line computation. Practically, the main mathematical method for calculating GAI of electrical grid with complex structure is Monte-Carlo simulation (MCS). It provides sufficiently accurate results, but the computation is time-consuming for large systems. On-line GAI computation requires an accurate method with low computation time. For that reason, analytical methods for GAI calculations have been proposed. Most of the proposed analytical methods include a lot of constraints and suppositions in calculating GAI. comparative analysis of the case study results helps to estimate efficiency for the analytical methods. Test results have been calculated by MCS and by analytical calculations based on the supplied demand algorithm. Analytical solution was implemented by the C# and VBA programming language. Input data includes generation set data, generation and load probability indices. The comparison of supplied demand algorithm and MCS in calculating GAI has been made. Guidelines for combined using of analyzed methods have been formulated. Investigation results allow to select proper method for calculating GAI.https://www.energyret.ru/jour/article/view/310generation adequacy indicesnormal distributionmathematical modeling methodsupplied demand algorithm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
R. T. Valiev V. P. Oboskalov S. A. Gusev |
spellingShingle |
R. T. Valiev V. P. Oboskalov S. A. Gusev Comparative analysis of power system generation adequacy calculating techniques Известия высших учебных заведений: Проблемы энергетики generation adequacy indices normal distribution mathematical modeling method supplied demand algorithm |
author_facet |
R. T. Valiev V. P. Oboskalov S. A. Gusev |
author_sort |
R. T. Valiev |
title |
Comparative analysis of power system generation adequacy calculating techniques |
title_short |
Comparative analysis of power system generation adequacy calculating techniques |
title_full |
Comparative analysis of power system generation adequacy calculating techniques |
title_fullStr |
Comparative analysis of power system generation adequacy calculating techniques |
title_full_unstemmed |
Comparative analysis of power system generation adequacy calculating techniques |
title_sort |
comparative analysis of power system generation adequacy calculating techniques |
publisher |
Kazan State Power Engineering University |
series |
Известия высших учебных заведений: Проблемы энергетики |
issn |
1998-9903 |
publishDate |
2017-12-01 |
description |
Calculating generation adequacy indices (GAI) is performed not only for planning problems but also for on-line computation. Practically, the main mathematical method for calculating GAI of electrical grid with complex structure is Monte-Carlo simulation (MCS). It provides sufficiently accurate results, but the computation is time-consuming for large systems. On-line GAI computation requires an accurate method with low computation time. For that reason, analytical methods for GAI calculations have been proposed. Most of the proposed analytical methods include a lot of constraints and suppositions in calculating GAI. comparative analysis of the case study results helps to estimate efficiency for the analytical methods. Test results have been calculated by MCS and by analytical calculations based on the supplied demand algorithm. Analytical solution was implemented by the C# and VBA programming language. Input data includes generation set data, generation and load probability indices. The comparison of supplied demand algorithm and MCS in calculating GAI has been made. Guidelines for combined using of analyzed methods have been formulated. Investigation results allow to select proper method for calculating GAI. |
topic |
generation adequacy indices normal distribution mathematical modeling method supplied demand algorithm |
url |
https://www.energyret.ru/jour/article/view/310 |
work_keys_str_mv |
AT rtvaliev comparativeanalysisofpowersystemgenerationadequacycalculatingtechniques AT vpoboskalov comparativeanalysisofpowersystemgenerationadequacycalculatingtechniques AT sagusev comparativeanalysisofpowersystemgenerationadequacycalculatingtechniques |
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1721275841699119104 |