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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Main Authors: R. T. Valiev, V. P. Oboskalov, S. A. Gusev
Format: Article
Language:English
Published: Kazan State Power Engineering University 2017-12-01
Series:Известия высших учебных заведений: Проблемы энергетики
Subjects:
Online Access:https://www.energyret.ru/jour/article/view/310
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spelling 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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