Advanced methods, models, and algorithms for multi-rate co-simulation of power system transients

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dc.contributor.authorRupasinghe, Rupasinghe Arachchige Tharinda Janesh Kumar
dc.contributor.examiningcommitteeGole, Aniruddha (Electrical and Computer Engineering) Muthumuni, Dharshana (Electrical and Computer Engineering) Wang, Xiaoyu (Carleton University)en_US
dc.contributor.supervisorFilizadeh, Shaahin (Electrical and Computer Engineering)en_US
dc.date.accessioned2021-05-31T20:17:34Z
dc.date.available2021-05-31T20:17:34Z
dc.date.copyright2021-05-25
dc.date.issued2021-05-25en_US
dc.date.submitted2021-05-25T18:06:47Zen_US
dc.degree.disciplineElectrical and Computer Engineeringen_US
dc.degree.levelDoctor of Philosophy (Ph.D.)en_US
dc.description.abstractThis thesis develops advanced methods, models, and algorithms for next generation co-simulation engines for electromagnetic transient (EMT) type simulations by combining the benefits of dynamic phasors (DPs), frequency adaptive simulation of transients, parallel processing, multi-rate simulation, and accuracy of EMT simulators. The thesis addresses a number of important aspects of power system co-simulation including (i) conditions for numerical stability and their reliance on the interface topology, (ii) dynamic phasor extraction methods and their capabilities to represent typical power system phenomena, (iii) adaptive time-step adjustments when the simulated time-horizon includes varying harmonic contents, and (iv) layered electromagnetic transient, dynamic phasor, and transient stability (TS) simulations. The research develops industrial-grade prototypes for co-simulation with EMT and DP-based solvers, and multi-layered co-simulation of EMT, TS, and DP-based solvers based upon novel algorithms. It also implements a large number of component models and interfacing mechanisms for such systems as electric machines, transformers, and advanced converter systems. Illustrative examples are included to demonstrate the thesis' findings, and validate the accuracy and computational benefits of the developed methods, models, and algorithms.en_US
dc.description.noteOctober 2021en_US
dc.identifier.citationJ. Rupasinghe, S. Filizadeh, and A. Gole, and K. Strunz, “Multi-rate co-simulation of power system transients using dynamic phasor and EMT solvers,” The Journal of Engineering, pp. 854–862, 2020en_US
dc.identifier.citationJ. Rupasinghe, S. Filizadeh, and D. Muthumuni, “A method for modeling and testing modular multilevel converters and their controls in large power system simulation studies,” in Proc. CIGRE Canada Conference & Expo, pp. 1–9, 2020en_US
dc.identifier.citationJ. Rupasinghe, S. Filizadeh, and D. Muthumuni, “A co-Simulation platform for modeling and testing modular multilevel converters and their controls in large networks,” in Proc. IEEE Workshop on Control and Modeling for Power Electronics (COMPEL 2020), Denmark, 2020en_US
dc.identifier.citationJ. Rupasinghe, S. Filizadeh, and K. Strunz, “Assessment of dynamic phasor extraction methods for power system co-simulation applications,” Electric Power Systems Research, vol. 197, 2021.en_US
dc.identifier.urihttp://hdl.handle.net/1993/35670
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectCo-simulationen_US
dc.subjectDynamic phasorsen_US
dc.subjectElectromagnetic transient (EMT) simulationen_US
dc.subjectMulti-rate simulationen_US
dc.subjectTransient stabilityen_US
dc.subjectPhasor extractionen_US
dc.subjectNetwork interface stabilityen_US
dc.titleAdvanced methods, models, and algorithms for multi-rate co-simulation of power system transientsen_US
dc.typedoctoral thesisen_US
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