Real-Time Synchronized Power System Simulator for What-If Analysis
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Solution Overview
Problem
Current systems lack real-time synchronization and predictive capabilities for electrical power systems, making it difficult to simulate performance under various scenarios and maintain operational reliability, especially in mission-critical facilities like data centers and nuclear power plants, due to the complexity and interdependencies of these systems.
Innovation Solution
A real-time synchronized electrical power system simulator that includes a data acquisition component, a power analytics server, and a client terminal, utilizing a virtual system modeling engine, analytics engine, and power system simulation engine to update and calibrate a virtual model based on real-time data, allowing for 'what-if' scenario analysis and prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time data acquisition and virtual system modeling are implemented, then predictive capabilities and operational reliability are improved, but device complexity and implementation cost increase
Solution Approach 1:
The patent creates a virtual copy of the electrical power system that mirrors the physical system's structure, components, and operational characteristics. This virtual system model allows for real-time simulation and predictive analysis without requiring physical modifications to the actual power system, thereby improving reliability while avoiding the complexity of installing additional physical monitoring and control hardware throughout the system.
Solution Approach 2:
The patent introduces a power analytics server as an intermediary component that bridges the physical electrical power system and the virtual system model. This server receives real-time operational data from the physical system, updates the virtual model accordingly, and performs predictive simulations. By concentrating the complex processing and modeling functions in this single intermediary device, the patent improves system reliability through continuous monitoring and prediction while isolating the complexity from the rest of the power system.
2Loss of information
If comprehensive real-time monitoring and simulation are implemented, then predictive capabilities improve, but data processing requirements and computational load increase
Solution Approach 1:
The patent performs predictive simulations and scenario analyses in advance before actual operational decisions are needed. By pre-computing the effects of potential changes, failures, or optimizations using the virtual system model, the system prepares actionable insights ahead of time. This allows operators to make informed decisions without requiring intensive real-time computational resources during critical operational moments, thereby reducing the overall computational energy burden while maintaining high information accuracy.
3Measurement precision
If the virtual system model is continuously updated with real-time data, then prediction accuracy improves, but synchronization complexity and processing overhead increase
Solution Approach 1:
The patent implements a feedback mechanism where the power analytics server continuously receives operational data from the physical electrical power system and uses this information to update and refine the virtual system model. The model compares simulated outcomes with actual system behavior and adjusts its parameters accordingly. This closed-loop feedback approach maintains high prediction accuracy by ensuring the virtual model reflects the current state of the physical system, while the automated nature of the feedback process minimizes manual synchronization complexity.
Data Source
AI summary
A system for real-time modeling of electrical system performance is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The power analytics server is comprised of a virtual system modeling engine, an analytics engine and a power system simulation engine. The virtual system modeling engine is configured to generate predicted data output utilizing a first virtual system model. The analytics engine is configured to synchronize the first virtual system model when a difference between the real-time data output and the predicted data output exceeds a threshold. The power system simulation engine is configured to store and process patterns and facilitate modification of parameters on the first virtual system model to create a second virtual system model; and forecast an aspect of the electrical system operating under parameters of the second virtual system model. The client terminal displays the forecasted aspects.