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dc.contributor.authorAsaduzzaman, Abu
dc.contributor.authorMoniruzzaman, Md
dc.contributor.authorChidella, Kishore K.
dc.contributor.authorTamtam, Perlekar
dc.date.accessioned2017-01-07T00:00:51Z
dc.date.available2017-01-07T00:00:51Z
dc.date.issued2016
dc.identifier.citationA. Asaduzzaman, M. Moniruzzaman, K. K. Chidella and P. Tamtam, "An efficient simulation method using VisualSim to assess autonomous power systems," SoutheastCon 2016, Norfolk, VA, 2016, pp. 1-7en_US
dc.identifier.isbn978-1-5090-2246-5
dc.identifier.issn1558-058X
dc.identifier.otherWOS:000387067900058
dc.identifier.urihttp://dx.doi.org/10.1109/SECON.2016.7506763
dc.identifier.urihttp://hdl.handle.net/10057/12798
dc.descriptionClick on the URL to access the article (may not be free).en_US
dc.description.abstractAutonomous power system (APS) that exploits local renewable energy sources has potential to provide useful energy at lower costs when compared with conventional energy. Modern APS involves the control of renewable energy systems with intermittent power production; interaction with conventional energy generation; and management of energy storage and consumption. The system configuration of an APS is often complex due to the mix of energy generations and desire to optimize the utilization of the renewable energy. The fact that a large amount of data must be processed within a very short period of time makes the APS very challenging. In this paper, we introduce a modeling and simulation methodology to analyze autonomous power systems. We develop a simulation platform using VisualSim software package to create simulation programs. We model an APS for hybrid electrical vehicle (HEV) with solar energy, thermoelectricity, and conventional fuel energy using various communication mediums. Simulation results for solar panels are comparable with real results from a solar plant. The proposed simulation platform is easy and reliable to assess the components required in modern APSs. Regarding communication mediums, simulation results suggest that controller area network (CAN) bus outperforms FlexRay and Bluetooth.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2016 SoutheastCon;
dc.subjectAutonomous power systemen_US
dc.subjectHybrid electrical vehicleen_US
dc.subjectMicrocontrolleren_US
dc.subjectModeling and simulationen_US
dc.subjectVisualSimen_US
dc.titleAn efficient simulation method using VisualSim to assess autonomous power systemsen_US
dc.typeConference paperen_US
dc.rights.holder© Copyright 2016 IEEE - All rights reserved.en_US


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