PATENT CLAIM ANALYSIS

Application Number: 15570251
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-02
Patent Classification: ["700", "295000"]

Abstract:
A method of controlling an electrical power network in which a sudden event which may lead to loss or excess of generation or load. The electrical power network comprises plural controllers, each controller configured to control an apparatus connected to the power network at a different respective location in the electrical power network. The method comprises determining the occurrence of the sudden and receiving synchronised quantities in each of the controllers each of the quantities corresponding to one of frequency and angle at respective different locations in the electrical power network. The method further comprises generating a control output from each controllers in dependence on the received plural quantities, each control output controlling its respective apparatus, each controller generating the control output independent of operation of any other controller and on an ongoing basis in dependence on ongoing receipt of the plural quantities.

Claim (Index 27):
The method according to any one of  claims 23  to  26  in which the control output has one of plural levels selected in dependence on comparison of rate of change of local frequency with each of plural different threshold values.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 97.0
- Lexical Diversity: 2.34375
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14903586', '14771471', '13505118', '12415268', '14203502']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4055179437011055
- 35 USC 102 Novelty (BERT): 0.4821832870955106
- Combined Prediction Score: 0.413184478040546
- Mean Citation Score: 137.331374
- Max Citation Score: 158.63
- Similarity Product: 101.29654043793678

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