Waveform relaxation based hardware-in-the-loop simulation

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dc.contributor.authorGoulkhah, Mohammad (Monty)
dc.contributor.examiningcommitteeFilizadeh, Shaahin (Electrical and Computer Engineering) Morrison, Jason (Biosystems Engineering) Johnson, Brian (Electrical and Computer Engineering, University of Idaho)en_US
dc.contributor.supervisorGole, Aniruddha (Electrical and Computer Engineering)en_US
dc.date.accessioned2016-01-09T19:49:48Z
dc.date.available2016-01-09T19:49:48Z
dc.date.issued2014en_US
dc.date.issued2015en_US
dc.degree.disciplineElectrical and Computer Engineeringen_US
dc.degree.levelDoctor of Philosophy (Ph.D.)en_US
dc.description.abstractThis thesis introduces an alternative potentially low cost solution for hardware-in-the-loop (HIL) simulation based on the waveform relaxation (WR) method. The WR tech-nique is extended so that, without the need for a real-time simulator, the behaviour of an actual piece of physical hardware can nevertheless be tested as though it were connected to a large external electrical network. This is achieved by simulating the external network on an off-line electromagnetic transients (EMT) simulation program, and utilizing iterative exchange of waveforms between the simulation and the hardware by means of a spe-cialized Real-Time Player/Recorder (RTPR) interface device. The approach is referred to as waveform relaxation based hardware-in-the-loop (WR-HIL) simulation. To make the method possible, the thesis introduces several new innovations for stabi-lizing and accelerating the WR-HIL algorithm. It is shown that the classical WR shows poor or no convergence when at least one of the subsystems is an actual device. The noise and analog-digital converters’ quantization errors and other hardware disturbances can affect the waveforms and cause the WR to diverge. Therefore, the application of the WR method in performing HIL simulation is not straightforward and the classical WR need to be modified accordingly. Three convergence techniques are proposed to improve the WR-HIL simulation con-vergence. Each technique is evaluated by an experimental example. The stability of the WR-HIL simulation is studied and a stabilization technique is proposed to provide suffi-cient conditions for the simulation stability. The approach is also extended to include the optimization of the parameters of power system controllers located in geographically distant places. The WR-HIL simulation technique is presented with several examples. At the end of the thesis, suggestions for the future work are presented.en_US
dc.description.noteFebruary 2016en_US
dc.identifier.citationCigre Canadaen_US
dc.identifier.citationICITen_US
dc.identifier.urihttp://hdl.handle.net/1993/31012
dc.language.isoengen_US
dc.publisherCigre Canadaen_US
dc.publisherIEEEen_US
dc.rightsopen accessen_US
dc.subjectWaveform Relaxationen_US
dc.subjectHardware-in-the-Loop simulationen_US
dc.subjectWaveform Relaxation convergenceen_US
dc.subjectHIL simulation stabilityen_US
dc.subjectPower system equipment testingen_US
dc.subjectWaveform Relaxation convergence accelerationen_US
dc.subjectDistributed HIL simulationen_US
dc.subjectReal-Time Player/Recorderen_US
dc.subjectController optimizationen_US
dc.titleWaveform relaxation based hardware-in-the-loop simulationen_US
dc.typedoctoral thesisen_US
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