PRÝMEK, Miroslav, Aleš HORÁK and Tadeusz SIKORA. Power Network Simulation Using Real Data and RiceVM. In Proceedings of ELNET 2008. Ostrava: Faculty of Electrical Engineering and Computer Science, VŠB - Technical University of Ostrava, 2008, p. 61-71. ISBN 978-80-248-1875-7.
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Basic information
Original name Power Network Simulation Using Real Data and RiceVM
Name in Czech Simulace elektrorozvodných sítí s využitím reálných dat a RiceVM
Authors PRÝMEK, Miroslav (203 Czech Republic, belonging to the institution), Aleš HORÁK (203 Czech Republic, guarantor, belonging to the institution) and Tadeusz SIKORA (203 Czech Republic).
Edition Ostrava, Proceedings of ELNET 2008, p. 61-71, 11 pp. 2008.
Publisher Faculty of Electrical Engineering and Computer Science, VŠB - Technical University of Ostrava
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14330/08:00024391
Organization unit Faculty of Informatics
ISBN 978-80-248-1875-7
Keywords in English electrical power networks;multi-agen environment;simulation
Tags electrical power networks, multi-agen environment, simulation
Tags International impact, Reviewed
Changed by Changed by: doc. RNDr. Aleš Horák, Ph.D., učo 1648. Changed: 20/12/2010 11:00.
Abstract
This paper presents results from joining together the results of work of two teams within the research project ``Intelligent methods for increasing electric distribution networks reliability.'' We display the preparation and results of a real electric distribution network (EDN) simulation and its reliability analysis using the parameters calculated from the real database of EDN failures in Czech Republic from last years.
Abstract (in Czech)
V článku prezentujeme výsledky spolupráce dvou řešitelských týmů na přípravě simulace reálné elektrorozvodné sítě a její spolehlivosti s využitím dat z aktuální databáze poruch českých soustav.
Links
1ET100300414, research and development projectName: Inteligentní metody pro zvýšení spolehlivosti elektrických sítí
Investor: Academy of Sciences of the Czech Republic, Intelligentmethods for incresing of reliability of electrical networks
PrintDisplayed: 11/7/2024 12:48