Edge Intelligence Powers AIS CTs' Digital Transformation: Compatible with Traditional & Smart Grids for New Power Systems Dokar da Edge Intelligence na Taimaka a Gidaje Da Dukkantaccen AIS CTs: Na Taimaka waɗannan Jiragen Mai Turanci da Sabbin Jiragen Kula da Sauran Sisotanni Nomaikken Kirkiro
I. Background ta Project
Waka na abin da New Power System ke neman don din gwiwa, kumbunta cikakken ƙarfafar alama, da hanyar bayanai na tattalin arziki, yana bukatar babban karfin lamarin digitar don samun waɗannan muhimman abubuwa:
- Babbar Bisa: Yana bukatar masu shiga mafi ƙarin da suke haɗa da substations na analog da kuma substations na digita.
- Kumbunta Cikakken Ƙarfafar Alama: Kumbuntar cikakken ƙarfafar alama na PMU (Phasor Measurement Unit) yana ba da wani nasara a kan nuna ƙarin bayanai game da tsariyar tattalin arziki.
- Bayanai Mai Yawa: Nuna bayanan raw sampled values yana yi wata zabe mai yawa da 90% na bandarwar channel.
II. Harkokin Tushen Fanni
1. Harkokin Interface na Ƙarin Masu Shiga
|
Modi na Ƙarin |
Tushen Fanni |
Matsayin Muhimmiyar |
|
Analog Taɗadi |
5A/1A, Class 0.2S na Cikakken Ƙarfafar Alama |
Ayoyi na inganci, shiga masu alama na kayan aiki |
|
Digital Output |
IEC 61850-9-2 LE Sampled Values (SV), 4000 Hz |
Merging Unit (MU), PMU centralized analysis |
- Innovation: Yana amfani da harkokin ƙarin masu shiga na dual-winding da ya ƙare, don ba a haɓaka ƙarin digital/analogue, inda yake iya samun cikakken ƙarfafar alama < ±0.1%.
2. Harkokin Time Synchronization na Level Microsecond (μs)
3. Edge Computing Intelligent Terminal
* Harkokin Hardware:
* Dual-core ARM Cortex-M7 processor @ 480MHz
* 128KB SRAM + 4MB Flash storage
* Fungamai na Local Analysis:
* Harmonic Distortion Ratio (THD) calculation (±0.2% accuracy when THD ≤ 1.5%)
* Three-phase imbalance analysis (Response time < 20ms)
* Load waveform feature extraction (Compression ratio 7:1)
* Data Transmission Optimization: Only uploads feature data, reducing bandwidth usage by 70%.
III. Harkokin Implementation na Transformation
Three-Phase Implementation Plan for Digital Transformation
|
Phase |
Activity |
Timeline, Effort (Quarter-Person) |
|
Device Layer Refit |
Traditional CT Replacement |
2025 Q1, 6qp |
|
Optical Fiber Network Deployment |
2025 Q2, 4qp |
|
|
System Layer Upgrade |
MU Data Access |
2025 Q3, 3qp |
|
Edge Computing Configuration |
2025 Q4, 2qp |
|
|
Advanced Applications |
PMU Dynamic Monitoring |
2026 Q1, 4qp |
|
AI Load Forecasting |
2026 Q2, 6qp |
(qp = Quarter-Person effort unit)
IV. Fa'idon Fanni da Tattalin Arziki
|
Indicator |
Before Refit |
After Refit |
Improvement |
|
Data Acquisition Dimensions |
6 parameters |
27+ features |
350% Increase |
|
PMU Synchronization Accuracy |
10 μs |
0.8 μs |
12.5x Improvement |
|
Data Transmission Volume |
12 Mbps/unit |
3.6 Mbps/unit |
70% Reduction |
|
Fault Diagnosis Response Time |
300 ms |
45 ms |
85% Improvement |
Investment Payback Calculation:
- Single Bay Refit Cost: ¥48,000
- Annual Maintenance Cost Savings: ¥18,000
- Avoided Capacity Expansion Savings: ¥50,000 (3-year period)
- Static Payback Period: 2.7 years < Target 3 years
V. Muhimmin Matsayin Fanni
- Grid Connection Point ta Renewable Energy Plant
- Captures second-level fluctuations in wind/solar power output.
- Automatically triggers SVG (Static VAR Generator) upon harmonic violation.
- Urban Load Center Substation
- Dynamic capacity expansion based on edge computing.
- Identifies impulsive loads within 0.1 seconds.
- Traditional Substation Intelligent Refit
- Preserves existing protection circuits.
- Adds new optical fiber digital channels.
