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The MMC converters are modeled as average value models which provide faster simulation speeds.
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The simulation method is based upon the average value modelling of the inverter leg, at the PWM scale, in different modulation conditions, modelling almost all the inverter structures with transistors as active elements.
To verify the proposed average value model of MMC can be applied for valve power loss, the valve power loss calculation results of fast model, detailed model and analytical method are shown in Table 2.
This has commonly limited practice of this simulation technique to short time spans, reduced-order models [65], or average-value models [66]; however, due to the wealth of information arising from this simulation type, it is an important simulation technique and commonly used after steady-state assessments have been made [67].
The monthly average value of model exponent (p) has been computed as 1.25.
The average value in model m4 of all regions for the whole surveyed period is 0.9661 and this results in the top three m1, m2 and m3 models.
The output being specific to particular locations rather than being an average value, the model can be applied to very wide ranges of system and environment parameters, certainly well beyond the range within which measurements have been made.
The average values of model estimated parameters on a cluster of patients give a virtual patient that supports the design and testing of control algorithms, improving the expectations and reducing the risk of experimental activities.
The field space is subdivided into ring-shaped zones with radiiri, and the wall admittanceGiof the absorbing flank in each zone is supposed to be inversely proportional to the radius,Gi(r)∽1/r, so that the average value of the model admittance in a zone 〈Gi(r)〉 equals the admittanceGof the flank.
As we can see, the average value for null model is lower.
These scale differences are resulted from the fact that the feature variance in Figure 3 is computed globally from the entire test features while the averaged variance model is represented as the average value of the individual variance models, each of which covers its small acoustic model space.
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