GIS Voltage Transformer: Digital Twin and Adaptive Control Solution Haɗin Kuliya na Taushe GIS: Ƙungiyar Masana'antu na Tsari da Ƙauna Aiki

Na gode na gaba: Integriti na New Energy Grid Yana Da Zama Da Gaba-Gaban Grid Dynamics, Tsarin VT Na Tsohuwar Yana Koma Da Rikitar​
Integriti na masu sauki da sauransu (kamar wind da solar) yana da abin da ba suka samu daga wani lokaci a matsayin hankali, kwayoyin da kuma inganci na gwamnati na grid. GIS Voltage Transformers (VTs) na tsohuwar suna da kungiyar da ke rikita:
• ​Kungiyar na Amsa: Daga cewa an haɗa shi da sampling rates mai tsawo (tare da ≤1kHz) da tsarin lissafi mai tsawo, suke ci gaba da hakuri da ayyuka da ba ta da kalmomi a kan zamanin da ya faru (kamar voltage sags, harmonic distortion) a zama da zamani.
• ​Kungiyar na Gwamnati: Tsarin gwamnati babban da suka gada ba suka iya canza da hanyoyi na grid da aka haɗa da renewables, wanda yake da muhimmanci ga maloperations (overreaction) ko kuma failures to operate (fault non-response), wanda ke da damar ingancin da kuma adalci na grid.

​Solution: Smart Sensing + Data-Driven GIS-VT Decision-Making Loop​
Don haɓaka waɗannan kungiyoyi, an yi a bayar da amsa mai kyau wanda take da digital twin da kuma adaptive control:

1. ​Full-Dimensional Digital Twin Modeling:
   Yana gina digital mirror mai kyau daga tsarin GIS-VT, electromagnetic properties, da kuma data na environment da ake yi aiki a nan.
   Key Breakthrough: Yana haɗa high-speed sensing data (temperature, pressure, vibration, leakage monitoring) da real-time electrical data streams don map the physical GIS-VT state a virtual space din.
2. ​Intelligent Adaptive Sampling Mechanism:
   Yana ci gaba da analyze conditions na grid via the digital twin. Idan ana neman high-dynamic events (kamar switching operations, fault surges, ko kuma extreme renewable fluctuations), yana faɗa sampling rate escalation (1kHz → 100kHz) don capture-level transients.
   Yana ci gaba da downscale rates a lokacin da ake tsara, don optimize edge computing resources da kuma communication bandwidth.
3. ​Edge Computing-Powered Real-Time Decision Hub:
   Embedded industrial-grade edge computing nodes yana run machine learning da kuma fault signature matching algorithms.
   Ultra-Fast Fault Location: Yana ci gaba da ≤5ms fault localization accuracy using high-frequency sampled data.
   Adaptive Protection Strategy Switching: Yana ci gaba da deploy optimal protection logic based on identified fault types (short-circuit, islanding, harmonic oscillation, etc.) da kuma 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.