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A novel colored fluid stochastic petri net simulation model for reliability evaluation of wind/PV/diesel small isolated power systems

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dc.contributor.author Katsigiannis, YA en
dc.contributor.author Georgilakis, PS en
dc.contributor.author Tsinarakis, GJ en
dc.date.accessioned 2014-03-01T01:32:29Z
dc.date.available 2014-03-01T01:32:29Z
dc.date.issued 2010 en
dc.identifier.issn 1083-4427 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/20158
dc.subject Fluid stochastic Petri nets (FSPNs) en
dc.subject hybrid systems en
dc.subject photovoltaics (PVs) en
dc.subject reliability evaluation en
dc.subject renewable energy sources (RES) en
dc.subject simulation en
dc.subject small isolated power systems (SIPS) en
dc.subject wind turbines (WTs) en
dc.subject.classification Computer Science, Cybernetics en
dc.subject.classification Computer Science, Theory & Methods en
dc.subject.other Fluid Stochastic Petri Nets en
dc.subject.other Isolated power system en
dc.subject.other Photovoltaics en
dc.subject.other reliability evaluation en
dc.subject.other Renewable energy source en
dc.subject.other simulation en
dc.subject.other Electric grounding en
dc.subject.other Fluids en
dc.subject.other Graph theory en
dc.subject.other Hybrid computers en
dc.subject.other Hybrid systems en
dc.subject.other Petri nets en
dc.subject.other Photovoltaic effects en
dc.subject.other Random access storage en
dc.subject.other Reliability en
dc.subject.other Stochastic models en
dc.subject.other Stochastic systems en
dc.subject.other Uninterruptible power systems en
dc.subject.other Wind power en
dc.subject.other Wind turbines en
dc.subject.other Computer simulation en
dc.title A novel colored fluid stochastic petri net simulation model for reliability evaluation of wind/PV/diesel small isolated power systems en
heal.type journalArticle en
heal.identifier.primary 10.1109/TSMCA.2010.2052607 en
heal.identifier.secondary http://dx.doi.org/10.1109/TSMCA.2010.2052607 en
heal.identifier.secondary 5545415 en
heal.language English en
heal.publicationDate 2010 en
heal.abstract This paper introduces a new general methodology for the modeling and reliability evaluation of small isolated power systems, which include wind turbines, photovoltaics, and diesel generators, based on fluid stochastic Petri nets (FSPNs). The proposed methodology presents two major novelties in FSPN modeling, namely: 1) the introduction of a new kind of Petri net arc, called the database arc, which makes possible the direct import of real data in the simulation process; and 2) the selection of constant time intervals in FSPN modeling, instead of assuming continuous dynamics defined by the change of fluid level over time. Moreover, in order to construct the overall system model, this paper proposes a general framework for modular representation of the system under study following a number of well-defined steps. The obtained model is fully parameterized and compared to classical simulation methods, it provides to its user the additional advantage of graphical representation of system's components and attributes. Four scenarios, which describe power system's performance under different conditions, were implemented. For each one of the developed scenarios, nine reliability and performance indexes have been calculated and compared. © 2006 IEEE. en
heal.publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC en
heal.journalName IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans en
dc.identifier.doi 10.1109/TSMCA.2010.2052607 en
dc.identifier.isi ISI:000283447200014 en
dc.identifier.volume 40 en
dc.identifier.issue 6 en
dc.identifier.spage 1296 en
dc.identifier.epage 1309 en


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