Power Device Losses in Two-Level Converters with Direct Current Controllers for Grid Connected Applications

Gonzalez, Jose Ortiz; Pérez-Estévez, Diego; Wu, Ruizhu; Doval-Gandoy, Jesús; Mawby, P.A.; Alatise, Olayiwola

doi:10.1109/ecce47101.2021.9595878

Cited by 1 publication

(2 citation statements)

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“…Following this approach and taking into account the number of available large voltage vectors, 12 active VVs can be generated for the considered 6PH-IM (Figure 4). (52,38) VV 3 (54,20) VV 4 (22,50) VV 5 (18,30) VV 6 (26,19) VV 7 (27,10) VV 8 (11,25) VV 9 (9,43) VV 10 (41, 13) VV 11 (45,33) VV 12 (44,37) The employment of these VVs also permits reducing the predictive model ( 9) and the cost function (11) (Figure 5), simplifying the control scheme and reducing the computational burden in relation to the standard version. Since the secondary currents can be regulated in open-loop mode with the null-average voltage production provided by the VVs in the secondary subspace, the following machine model and cost function can be employed:…”

Section: Vv-mpcmentioning

confidence: 99%

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Guiding the Selection of Multi-Vector Model Predictive Control Techniques for Multiphase Drives

Aciego,

Gonzalez-Prieto,

Duran

et al. 2024

Machines

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A diverse group of so-called multi-vector techniques has recently appeared to enhance the control performance of multiphase drives when a direct control strategy is implemented. With different numbers of switching states and approaches for estimating the application times, each multi-vector solution has its own nature and merits. Previous studies have individually tested each version of the proposed finite-control-set model predictive control (FCS-MPC) strategies using a single experimental setup with specific parameters and, in some cases, using a limited range of operating conditions and focusing exclusively on some control aspects. Although such works provide partial contributions, the control performance is highly affected by the test and rig conditions, being dependent on the machine parameters, the switching frequency and the range of operation. Consequently, it becomes difficult to extract some universal conclusions that guide the control designer on the best alternative for each application. Aiming to enrich the knowledge in this field and provide a broader picture, this work performs a global analysis with different multi-vector techniques, various machine parameters, multiple operating points and a complete set of indices. Experimental results confirm that the selection of the most adequate control strategy is not a trivial task because the degree to which multi-vector techniques are affected by the test conditions is variable and complex. Some tables with a qualitative analysis, based on the extensive empirical tests, contribute with a more complete insight and guide eventual control designers on the decision about the optimal regulation approach to be chosen.

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Section: Vv-mpcmentioning

confidence: 99%

“…On the other hand, although the electric drive is formed by an electrical machine and a voltage source converter (VSC), it is common to focus the analysis on the machine [24,26,27,48,49]. Unfortunately, assuming this approach, the proposed analysis is blind to the global performance of the system [50].…”

Section: Introductionmentioning

confidence: 99%

Guiding the Selection of Multi-Vector Model Predictive Control Techniques for Multiphase Drives

Aciego,

Gonzalez-Prieto,

Duran

et al. 2024

Machines

View full text Add to dashboard Cite

show abstract

Power Device Losses in Two-Level Converters with Direct Current Controllers for Grid Connected Applications

Abstract: How to cite:Please refer to published version for the most recent bibliographic citation information. If a published version is known of, the repository item page linked to above, will contain details on accessing it.

Cited by 1 publication

References 26 publications

Guiding the Selection of Multi-Vector Model Predictive Control Techniques for Multiphase Drives

Guiding the Selection of Multi-Vector Model Predictive Control Techniques for Multiphase Drives

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