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Publikācija: Adequacy Analysis in Bulk Power Systems Based on the Analytical-Probabilistic Method

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Nosaukums oriģinālvalodā Adequacy Analysis in Bulk Power Systems Based on the Analytical-Probabilistic Method
Pētniecības nozare 2. Inženierzinātnes un tehnoloģijas
Pētniecības apakšnozare 2.7. Vides inženierija un enerģētika
Pētniecības platforma Enerģija un apkārtējā vide
Autori Vladislav Oboskalov
Pavel Gubin
Sergey Gusev
Rustam Valiev
Anatolijs Mahņitko
Renāta Varfolomejeva
Atslēgas vārdi Adequacy indices; Monte Carlo simulation; Power imbalance; Power systems
Anotācija This paper presents an application of the probability-based analytical procedure in the framework of the adequacy assessment problem for bulk power systems. The proposed procedure includes two stages. At the first stage, generation capacity allocates between load buses in proportion with their power. Secondly, real power flows are distributed proportionally to the voltage angle difference, which helps to account for power losses in the power system adequacy indices assessment. The results show that power losses significantly affect the resultant adequacy indices of a bulk power system, therefore power losses analysis should be considered as an essential part of the adequacy assessment process. The proposed mathematical models and algorithms have been tested with a sample power system. For comparison purposes, the Monte Carlo simulation technique have been used as a benchmark. The comparison of the case study results has shown a high computational efficiency and an acceptable accuracy of the proposed probabilistic-analytical method (PAM).
Atsauce Oboskalov, V., Gubin, P., Gusev, S., Valiev, R., Mahņitko, A., Varfolomejeva, R. Adequacy Analysis in Bulk Power Systems Based on the Analytical-Probabilistic Method. No: Elektroenergetika 2019: Proceedings of the 10th International Scientific Symposium on Electrical Power Engineering, Slovākija, Stara Lesna, 16.-18. septembris, 2019. Košice: Technical University of Kosice, 2019, 122.-127.lpp. ISBN 978-805533324-3.
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  • Scopus  0
ID 29998