Smart IoT-Enabled Air-Insulated Switchgear Voltage Transformer (AIS-VT) Solution
I. Core Challenges in Current Grid Intelligence Upgrades
Traditional Voltage Transformers (VTs), as critical grid monitoring equipment, face severe bottlenecks in digital transformation:
- Lack of Dynamic Monitoring: Limited to basic voltage measurements; incapable of capturing millisecond-level transient events (e.g., voltage sags, harmonic distortions).
- Untapped Data Value: Raw analog signals require multi-stage transmission and conversion, causing high latency and accuracy loss, hindering proactive distribution network decisions.
- Protocol Incompatibility: Legacy devices cannot directly output digital signals, impeding data integration in smart substations.
An urgent need exists to restructure voltage monitoring via embedded intelligence and IoT convergence.
II. Innovative Solution Architecture: Edge Intelligence & Protocol Convergence
This solution deeply integrates three core technologies into standard AIS-VT:
- Embedded Edge Computing Unit
|
Function |
Technical Specification |
Value Realization |
|
Real-time harmonic analysis |
THD measurement accuracy <0.5% (≤50th order) |
Pinpoints power quality pollution sources |
|
Voltage sag/swell capture |
Event response time ≤2ms |
Complies with IEC 61000-4-30 Class A |
|
Local data preprocessing |
Supports 12 types of PQ event tagging |
Reduces SCADA data load |
- Native IEC 61850 Protocol Support
• Direct Sampling/Streaming Architecture: Outputs SV digital streams via 9-2LE protocol at 4kHz sampling rate.
• Plug-and-Play Integration: Seamlessly connects with protection relays (e.g., ABB REF615), PMUs, and other smart devices.
• Network Redundancy Design: Supports GOOSE messaging with <3ms latency for critical signals. - SCADA IoT-Linkage Engine
III. Key Application Scenarios
- Smart Substation Digital Twin Foundation
• Deployed at 330kV+ hub substations to construct millisecond-level grid dynamic profiles.
• Case Study: A UHV substation achieved 300% faster short-circuit fault localization. - Microgrid Interconnection-Point Core Monitoring Node
• Tracks real-time fluctuations of distributed generation (e.g., photovoltaic power transients).
• Enables seamless transition between grid-connected/islanded modes. - Urban Active Distribution Network Fast Reconfiguration
• Automates feeder topology reconfiguration based on voltage event analysis.
• Test Results: Reconfiguration time compressed from minutes to <800ms.
IV. Revolutionary Technical Advantages
|
Dimension |
Traditional VT |
This Solution |
Improvement |
|
Sampling Rate |
≤1280 Hz |
4000 Hz |
↑60% transient accuracy |
|
Data Transmission |
Analog/Modbus |
IEC 61850 SV |
↓82% channel latency |
|
Analytical Capability |
Centralized backend processing |
Edge real-time computing |
↑200% decision efficiency |
|
Fault Response |
Passive recording |
Active trigger recording |
100% event capture rate |
V. Value Proposition
This solution reconstructs the system via a "Sensing-Computing-Protocol" trinity:
- Device Layer: Embedded AI chips transform voltage measurement from signal transmission to event analysis.
- Network Layer: 9-2LE protocol enables digital circulation between devices.
- System Layer: Deep integration with SCADA generates actionable insights (e.g., voltage vulnerability maps).
Delivers 67% reduction in power quality incidents and second-level fault recovery for distribution networks.
