PATENT CLAIM ANALYSIS

Application Number: 16019435
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["700", "295000"]

Abstract:
A method for generating electric substation load transfer control parameters includes adjusting elements in a fundamental scale matrix according to a condition change of a power grid, wherein the fundamental scale matrix is constructed based on the topology structure of the power grid, and the elements in the fundamental scale matrix represent switch information and risk values of paths between nodes of the power grid, wherein the switch information represents number of switching times required for connecting two nodes of the power grid; and performing operations on the adjusted fundamental scale matrix to generate switch information and risk values of paths for electric substation load transfer control, as electric substation load transfer control parameters.

Claim (Index 1):
A method for generating electric substation load transfer control parameters, comprising:\n adjusting elements in a fundamental scale matrix according to a condition change of a power grid, wherein the fundamental scale matrix is constructed based on the topology structure of the power grid, and the elements in the fundamental scale matrix represent switch information and risk values of paths between nodes of the power grid, wherein the switch information represents number of switching times required for connecting two nodes of the power grid; and performing operations on the adjusted fundamental scale matrix to generate switch information and risk values of paths for electric substation load transfer control, which are used as electric substation load transfer control parameters.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 94.0
- Lexical Diversity: 2.10526
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14601554', '14746880', '15516457', '12885750', '15144898']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3347262091108857
- 35 USC 102 Novelty (BERT): 0.4572601335416694
- Combined Prediction Score: 0.346979601553964
- Mean Citation Score: 127.362349
- Max Citation Score: 183.51218
- Similarity Product: 156.07386911408187

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

Dataset: test