2016 Clemson University Power Systems Conference (PSC) 2016
DOI: 10.1109/psc.2016.7462823
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Comparative analysis of dynamic model reduction with application in power systems

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Cited by 9 publications
(4 citation statements)
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“…Nanofluids are considered potential candidates for heat transfer working fluids because of their high thermo-physical properties, such as thermal conductivity, in comparison to base fluids such water and engine oil. As the heating/cooling fluids play considerable role in the improvement of energy system efficiency (Khatibi et al , 2016) by adding nanoparticle for the base fluid, nanofluids can be a suitable alternative for conventional heat transfer working fluids for a variety of applications. Conventional working fluids have limited heat transfer capacities because of their low thermo-physical properties.…”
Section: Introductionmentioning
confidence: 99%
“…Nanofluids are considered potential candidates for heat transfer working fluids because of their high thermo-physical properties, such as thermal conductivity, in comparison to base fluids such water and engine oil. As the heating/cooling fluids play considerable role in the improvement of energy system efficiency (Khatibi et al , 2016) by adding nanoparticle for the base fluid, nanofluids can be a suitable alternative for conventional heat transfer working fluids for a variety of applications. Conventional working fluids have limited heat transfer capacities because of their low thermo-physical properties.…”
Section: Introductionmentioning
confidence: 99%
“…Model reduction methods [11] or hybrid methods [12] could be an alternative solution. Most are used in the frequency domain by representing the network reduced with a transfer function of order lower than that of the original network and then calculating or estimating the coefficients of the new transfer function to minimise the deviation of the outputs between the two transfer functions [13, 14].…”
Section: Introductionmentioning
confidence: 99%
“…A key task in power systems model order reduction is to construct highly accurate ROMs in a computationally efficient manner. Reviews of available techniques for model reduction and comparative analyses of algorithms are described in the literature [2,3].…”
Section: Introductionmentioning
confidence: 99%