PATENT CLAIM ANALYSIS

Application Number: 16031461
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-12
Patent Classification: ["703", "018000"]

Abstract:
Systems and methods for market-based electric power system optimization are disclosed. Real-time data is acquired from a microgrid. Predicted data is generated by a virtual system model of the microgrid. A virtual system model is updated in real time when a difference between the real-time data and the predicted data exceeds a threshold. A multiplicity of market-based scenarios is presented to the virtual system model to create a multiplicity of altered virtual system models. The multiplicity of market-based scenarios is based on demand data, pricing data and availability data. Simulations for the multiplicity of market-based scenarios are performed based on the multiplicity of altered virtual system models. Simulation results are compared for optimization of microgrid availability and reliability.

Claim (Index 10):
The system of  claim 9 , wherein the simulation engine is configured to forecast the microgrid's ability to sustain power demand, maintain sufficient active and reactive power reserve, operate safely with minimum operating cost while maintaining an adequate level of reliability, and provide an acceptably high level of power quality while being subjected to various contingency events.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 2.18966
- Patent Class: 703.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14532559', '12895586', '12121552', '11777121', '11923081']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2687012846023803
- 35 USC 102 Novelty (BERT): 0.5293649358127329
- Combined Prediction Score: 0.2947676497234156
- Mean Citation Score: 314.789102
- Max Citation Score: 330.9396
- Similarity Product: 261.73699062845714

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

Dataset: test