Please use this identifier to cite or link to this item:
http://elar.urfu.ru/handle/10995/75743
Title: | Meshed power system reliability estimation techniques |
Authors: | Gusev, S. A. Kotov, O. M. Oboskalov, V. P. |
Issue Date: | 2014 |
Publisher: | WITPress |
Citation: | Gusev S. A. Meshed power system reliability estimation techniques / S. A. Gusev, O. M. Kotov, V. P. Oboskalov // WIT Transactions on Ecology and the Environment. — 2014. — Vol. 190 VOLUME 1. — P. 235-247. |
Abstract: | Electrical power system (EPS) reliability indices (RI) are calculated at both the operating and planning stages of power system operation. RI calculation is the key concern for power reserve estimating and dispatching, validating the new generation capacity and tie line installations, basic facility maintenance planning, selecting distribution substation key diagrams and local power system connecting diagrams and specifying the energy and power charges. The primary barrier to fast RI calculation is a meshed and hierarchical structure of a power system, the analysis of which is more of a challenge for an engineer. Additionally, there are a number of issues concerning the probabilistic nature of RI. This paper presents novel mathematical algorithms that have been developed at the department of automated power systems (DAPS) of the Ural Federal University. © 2014 WIT Press. |
Keywords: | MONTE-CARLO SIMULATION N-1 CRITERION POWER SYSTEM ADEQUACY POWER SYSTEM SECURITY RELIABILITY INDICES SIMULTANEOUS FAILURES STOCHASTIC NETWORK REDUCTION STRUCTURAL RELIABILITY ALGORITHM ELECTRICAL POWER ESTIMATION METHOD FAILURE ANALYSIS HIERARCHICAL SYSTEM MAINTENANCE MONTE CARLO ANALYSIS PROBABILITY RELIABILITY ANALYSIS STOCHASTICITY |
URI: | http://elar.urfu.ru/handle/10995/75743 |
Access: | info:eu-repo/semantics/openAccess |
Conference name: | 1st International Conference on Energy Production and Management in the 21st Century: The Quest for Sustainable Energy |
Conference date: | 23 April 2014 through 25 April 2014 |
SCOPUS ID: | 84897891086 |
PURE ID: | 379318 |
ISSN: | 1743-3541 |
DOI: | 10.2495/EQ140241 |
Sponsorship: | International Journal of Safety and Security Engineering;International Journal of Sustainable Development and Planning;WIT Transactions on Ecology and the Environment |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Files in This Item:
File | Description | Size | Format | |
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10.2495-eq140241.pdf | 422,07 kB | Adobe PDF | View/Open |
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