Malaysia Princeton Data Center Downstream 33kV GIS Substation Equipment Supply Project

Malaysia Princeton Data Center Downstream 33kV GIS Substation Equipment Supply Project

Overview:
The 33kV GIS substation downstream of Princeton Data Center (Malaysia’s first Uptime Tier III-certified facility) serves as the critical power hub guaranteeing 99.999% operational continuity. It confronted triple extreme challenges: corrosive tropical climate (annual humidity >85%), spatial constraints (40% footprint of conventional substations due to underground installation), and 25kA short-circuit current surges from escalating computational loads.

 

As the sole equipment provider, SH Power delivered its proprietary SH-40.5/T630A-25KA SF6 gas-insulated ring main unit with circuit breaker. Key innovations included: a laser-welded stainless steel gas tank (leakage rate <0.5%/year, IP67 rating) resisting salt spray corrosion; modular compact design (800mm depth, back-to-back installable) overcoming space limitations; vacuum interrupter units (validated by 25kA/4s thermal stability test, 10,000 mechanical operations) ensuring fault current interruption; and embedded DTU for real-time SF6 density/temperature monitoring with “Four Remote” functions (telemetry, teleindication, telecontrol, telesetting) . Commissioned 18 days ahead of schedule, the substation now supports 30% additional DC load capacity, setting a benchmark for urban high-density substations in Southeast Asia.

 

Product Category

Model

Technical Breakthroughs

Application Scenario

SF6 RMU-Circuit Breaker

SH-40.5/T630A-25KA

・25kA full breaking capacity (arcing time ≤18ms)
・IP67 rating + laser-welded stainless steel tank (leakage <0.5%/yr)
・Salt spray resistance >6,000 hrs (C5-M certified)

33kV busbar fault isolation

Smart Interlock System

SafeLock-D4

・Enhanced “Five Protections” logic (misoperation blocking ≤15ms)
・IEC 61850 GOOSE protocol for relay coordination

Load-switch operation prevention

Gas Monitoring Unit

CM-1000i

・Real-time SF6 density/dew point monitoring (±0.5% accuracy)
・AI-predicted contact temperature rise (±1°C error), 48hr early warning

Predictive maintenance

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