Virtual System Model Calibration for Electrical Power Reliability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current energy management systems lack real-time monitoring and predictive capabilities, leading to inaccurate reliability and performance assessments in electrical power systems, as they fail to synchronize with actual operational conditions and age with the facility, resulting in inefficient energy management and increased operational costs.
Innovation Solution
A client-server application framework that utilizes real-time data acquisition, a web application server, and a virtual system model database to generate predicted data outputs, synchronize with actual system conditions, and calibrate models to reflect real-time operational data, providing a comprehensive and accurate view of energy consumption and system health.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static system models are used for reliability prediction, then system design and analysis can be performed offline, but the models cannot adjust to daily operational changes or age with the facility, resulting in inaccurate reliability indices
Solution Approach 1:
The patent transforms static system models into dynamic models that continuously update with real-time operational data. The system automatically adjusts model parameters based on actual system performance, enabling the model to adapt to daily operational changes and age with the facility, thereby maintaining accurate reliability predictions throughout the system lifecycle.
Solution Approach 2:
The patent implements a feedback mechanism where real-time operational data from the electrical system is continuously fed back to update and refine the system model. This closed-loop approach allows the model to learn from actual system behavior, correct deviations, and maintain synchronization with the physical system, significantly improving reliability prediction accuracy.
2Measurement precision
If real-time data acquisition and model synchronization systems are implemented, then accurate predictive capabilities and system monitoring are achieved, but system complexity and computational requirements increase
Solution Approach 1:
The patent employs a universal client-server application framework that handles multiple functions including data acquisition, model synchronization, predictive analysis, and user interface provision. This multi-functional architecture consolidates complex operations into a unified system, managing complexity while maintaining high measurement precision through integrated processing.
Solution Approach 2:
The patent creates and maintains a virtual copy of the electrical power system that mirrors the physical system's behavior. This virtual model serves as a simplified representation that can be updated and analyzed computationally without requiring direct manipulation of the complex physical system, reducing computational overhead while maintaining monitoring accuracy.
3Reliability
If comprehensive real-time monitoring and predictive analysis are implemented, then operational costs and risks are reduced, but data acquisition and processing requirements increase
Solution Approach 1:
The patent applies partial monitoring and analysis actions by focusing computational resources on critical system parameters and components with highest impact on reliability. Rather than processing all possible data continuously, the system selectively monitors key parameters and performs predictive analysis only when necessary, reducing energy consumption while maintaining system reliability.
Data Source
AI summary
A system for intelligent web-based monitoring and management of an electrical system is provided. The system is configured to acquire real-time data output from the electrical system, and to transmit a user interface to a client terminal which is configured to display the user interface. In an embodiment, the system is configured to store a virtual system model of the electrical system. The system is configured to generate a predicted data output for the electrical system utilizing the virtual system model of the electrical system, monitor the real-time data output and the predicted data output of the electrical system, and initiate a calibration and synchronization operation to update the virtual system model when a difference between the real-time data output and the predicted data output exceeds a threshold.