GIS Voltage Transformer: Digital Twin and Adaptive Control Solution

Core Challenge: New Energy Grid Integration Intensifies Grid Dynamics, Traditional VT Performance Reaches Critical Limits​
The integration of large-scale volatile power sources (e.g., wind and solar) imposes unprecedented demands on the sensitivity, speed, and reliability of grid protection systems. Traditional GIS Voltage Transformers (VTs) exhibit critical limitations:
• ​Response Lag: Limited by fixed sampling rates (typically ≤1kHz) and linear processing logic, they struggle to capture high-frequency, aperiodic grid transient events (e.g., voltage sags, harmonic distortion) in real time.
• ​Decision-Making Constraints: Single protection strategies fail to adapt to complex grid scenarios induced by renewables, causing maloperations (overreaction) or failures to operate (fault non-response), jeopardizing grid security and efficiency.

​Solution: Smart Sensing + Data-Driven GIS-VT Decision-Making Loop​
To address these challenges, we propose a cutting-edge solution integrating digital twin and adaptive control:

1. ​Full-Dimensional Digital Twin Modeling:
   Constructs a high-precision digital mirror based on GIS-VT physical structure, electromagnetic properties, and operational environment data.
   Key Breakthrough: Integrates high-speed sensing data (temperature, pressure, vibration, leakage monitoring) with real-time electrical data streams to dynamically map the physical GIS-VT state in virtual space.
2. ​Intelligent Adaptive Sampling Mechanism:
   Continuously analyzes grid conditions via the digital twin. Upon detecting high-dynamic events (e.g., switching operations, fault surges, or extreme renewable fluctuations), triggers millisecond-level sampling rate escalation (1kHz → 100kHz) to capture-level transients.
   Automatically downscales rates during stable conditions, optimizing edge computing resources and communication bandwidth.
3. ​Edge Computing-Powered Real-Time Decision Hub:
   Embedded industrial-grade edge computing nodes run machine learning and fault signature matching algorithms.
   Ultra-Fast Fault Location: Achieves ≤5ms fault localization accuracy using high-frequency sampled data.
   Adaptive Protection Strategy Switching: Dynamically deploys optimal protection logic based on identified fault types (short-circuit, islanding, harmonic oscillation, etc.) and grid conditions (high renewable penetration/weak grid), enabling a "sense-identify-strategy self-optimization" closed loop.

​Value Delivered: Enabling a Highly Resilient Grid Future​
• ​Ultra-Rapid Response: Transient voltage detection and protection response speeds enhanced ​≥300%​, establishing a robust "first line of defense" for large-scale grids.
• ​Reliability Leap: Protection system maloperation rate reduced ​≥45%​, minimizing unnecessary downtime losses.
• ​High-Penetration Renewable Support: Delivers reliable sensing and adaptive protection capabilities for volatile, high-renewable scenarios, accelerating energy transition.
• ​Intelligent O&M: Digital twin-driven predictive maintenance significantly improves GIS availability and lifecycle management efficiency.