PATENT CLAIM ANALYSIS

Application Number: 15749829
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["363", "013000"]

Abstract:
The invention relates to a modular multilevel converter ( 2 ) having a control module ( 4 ) and a computer ( 10 ) for computing a setpoint for the internal energy of the converter stored in the capacitors of the submodules of the arms. The control module is configured to deduce, from the setpoint for the internal energy of the converter, a setpoint for the voltage across the terminals of each modeled capacitor, which setpoint is used for regulating the voltage across the points of common coupling between the converter and the DC power supply network and the voltage across the terminals of each modeled capacitor.

Claim (Index 24):
The converter according to  claim 17 , wherein the control module includes a regulator for regulating the voltage across the points of common coupling between the converter and the DC power supply network, the regulator having as input the result of a comparison between a setpoint for the voltage across the points of common coupling between the converter and the DC power supply network, when squared, and a value taken from the DC power supply network, when likewise squared, and delivering a setpoint for the operating power of said converter.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 88.0
- Lexical Diversity: 2.11321
- Patent Class: 363.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16313951', '13412393', '13510341', '14406297', '14536321']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8084830964325729
- 35 USC 102 Novelty (BERT): 0.5644936748372068
- Combined Prediction Score: 0.7840841542730362
- Mean Citation Score: 295.396486
- Max Citation Score: 444.6861
- Similarity Product: 360.1837881441951

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test