Internal energy supply of energy storage modules for an energy storage device, and energy storage device with such an internal energy supply
US-2015380776-A1 · Dec 31, 2015 · US
US9590530B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9590530-B2 |
| Application number | US-201514629674-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 24, 2015 |
| Priority date | Aug 28, 2012 |
| Publication date | Mar 7, 2017 |
| Grant date | Mar 7, 2017 |
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A modular converter having a plurality of converter modules for converting an input voltage into an output voltage to be supplied to a load by receiving a control input reference vector, a control input vector and a control input parameter vector; determining a control output reference vector from the control input reference vector, the control input vector and the control input parameter vector in a first control stage; and controlling the converter modules by generating switching signals based on the control output reference vector in a further control stage.
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The invention claimed is: 1. A method for controlling a modular converter, the modular converter including a plurality of converter modules configured for converting an input voltage into an output voltage to be supplied to a load, the method comprising: receiving a control input reference vector, a control input vector and a control input parameter vector; determining a control output reference vector from the control input reference vector, the control input vector and the control input parameter vector in a first control stage; and controlling the converter modules by generating switching signals based on the control output reference vector in a further control stage; wherein the control output reference vector is determined by: predicting at least one future state of the modular converter with a prediction model of the modular converter, wherein the prediction model is adapted for calculating the future state of the modular converter based on an actual state of the modular converter, a state of the modular converter having current values and/or voltage values of the modular converter; enhancing the at least one future state with respect to an objective function by minimizing the objective function with respect to a dynamical evolution in time of the prediction model, wherein the objective function is based on a cost value associated with switching costs of the converter modules, the objective function penalizes differences between the control input reference vector at a time step and a predicted evolution of the control input vector at the time step, and the objective function minimizes a change in evolution of the control output reference vector; and determining the control output reference vector from the future state. 2. The method of claim 1 , wherein the modular converter controlled by the method is a modular multi-level converter wherein each converter module of the modular multi-level converter includes two power connectors, at least two power semiconductors and a capacitor, wherein the power connectors are short-circuited in a first switching state of the power semiconductors and are connected to the capacitor in a second switching state of the power semiconductors. 3. The method of claim 2 , comprising: determining a voltage vector from the control output reference vector in a second control stage with a modulator; and controlling the converter modules by generating switching signals from the voltage vector in a third control stage. 4. The method of claim 3 , wherein the control input reference vector is a current reference vector, the control input vector is an actual current vector and the control input parameter vector is an actual voltage vector; and/or wherein the control output reference vector is a voltage reference vector. 5. The method of claim 4 , wherein a sequence of future states is predicted for a plurality of time steps in the future; and wherein the control output reference vector is determined from a next future state associated with a next time step. 6. The method of claim 5 , wherein the prediction model is based on linear equations relating voltages and/or currents at a time step with voltages and/or currents at a next time step. 7. The method of claim 1 , comprising: determining a voltage vector from the control output reference vector in a second control stage with a modulator; and controlling the converter modules by generating switching signals from the voltage vector in a third control stage. 8. The method of claim 1 , wherein the control input reference vector is a current reference vector, the control input vector is an actual current vector and the control input parameter vector is an actual voltage vector; and/or wherein the control output reference vector is a voltage reference vector. 9. The method of claim 1 , wherein a sequence of future states is predicted for a plurality of time steps in the future; and wherein the control output reference vector is determined from a next future state associated with a next time step. 10. The method of claim 1 , wherein the prediction model is based on linear equations relating voltages and/or currents at a time step with voltages and/or currents at a next time step. 11. The method of claim 1 , wherein the prediction model includes a model of the converter modules and/or a model of the load. 12. The method of claim 1 , comprising: compensating a time delay caused by the determining of the control output reference vector by predicting currents at a next time step using actual voltages and/or currents. 13. The method of claim 1 , wherein the objective function is based on a vector norm. 14. The method of claim 1 , wherein the objective function is based on a quadratic and/or linear norm. 15. The method of claim 1 , comprising: controlling the converter modules by generating switching signals from a rounded control output reference vector. 16. The method of claim 1 , comprising: detecting a converter module with a fault; short-circuiting the detected converter module; and removing the short-circuited converter module from the prediction model. 17. A controller for controlling a modular converter, wherein the controller is configured for performing the steps of: predicting at least one future state of the modular converter with a prediction model of the modular converter, wherein the prediction model is adapted for calculating the future state of the modular converter based on an actual state of the converter, a state of the modular converter having current values and/or voltage values of the modular converter; enhancing the at least one future state with respect to an objective function by minimizing the objective function with respect to a dynamical evolution in time of the prediction model, wherein the objective is based on a cost value associated with switching costs of converter modules of the modular converter, the objective function penalizes differences between the control input reference vector at a time step and a predicted evolution of the control input vector at the time step, and the objective function minimizes a change in evolution of the control output reference vector; and determining a control output reference vector from the future state. 18. A modular converter for supplying a load with electrical voltages, the modular converter comprising: a plurality of converter modules having semiconductor switches and a capacitor; a first controller according to claim 17 for generating a control output reference vector; and a further controller for generating switching signals for the converter modules based on the control output reference vector. 19. The modular converter of claim 18 , wherein the modular converter is a modular multi-level converter.
Converters with outputs that each can have more than two voltages levels · CPC title
responsive to abnormalities in the output circuit, e.g. short circuit · CPC title
using semiconductor devices only, e.g. single switched pulse inverters · CPC title
Electricity · mapped topic
Electricity · mapped topic
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