PATENT CLAIM ANALYSIS

Application Number: 16217492
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-08
Patent Classification: ["363", "040000"]

Abstract:
A system and method for controlling a grid-connected inverter to provide negative sequence current during unbalanced grid operating conditions. The system uses a combination of feedforward and feedback controls to compute voltage signals which are used to control the inverter switches. The system includes both positive and negative sequence current controllers with voltage feedforward terms. The measured grid voltage is directly fed forward to the positive sequence control through a predictive algorithm, so that the instantaneous voltage information is kept, reducing the influence of grid voltage harmonics on the quality of the output current. The predictive voltages include positive, negative and harmonic component information of the grid voltage signals.

Claim (Index 16):
The controller according to  claim 15  wherein the predictive feedforward voltages are computed in the processor using the equations:\n {circumflex over (v)} d ( k )=2 \u2022v d ( k \u22121)\u2212 v d ( k \u22122) \n {circumflex over (v)} q ( k )=2 \u2022v q ( k \u22121)\u2212 v q ( k \u22122) \n Where {circumflex over (v)} d (k) and {circumflex over (v)} q (k) are the direct and quadrature predictive feedforward voltages used at a next control cycle k in a positive sequence branch of the DDSRF algorithm, v d  and v q  are the direct and quadrature voltages computed by transforming the measured grid voltages, and k- 1  and k- 2  are designators for the measurement samples from the current and previous control cycles.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 1.77273
- Patent Class: 363.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16164361', '15307809', '13817524', '15218406', '14855808']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.804673599898086
- 35 USC 102 Novelty (BERT): 0.5227828331064962
- Combined Prediction Score: 0.776484523218927
- Mean Citation Score: 241.932186
- Max Citation Score: 278.62958
- Similarity Product: 160.86931805725334

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