Operational Analytics Architecture
Energy intelligence begins with data acquisition architecture. The quality, latency, and completeness of metering data determines what is analytically possible. SGAMS works backwards from operational decisions to define the measurement infrastructure required to support them. This means specifying meter accuracy classes, communication polling rates, data historian configuration, and alarm management frameworks before selecting any analytics platform.
Load Analytics and Demand Management
Load forecasting in modern grid environments is complicated by distributed energy resources, electric vehicle charging loads, and demand-side response programmes. The SGAMS load analytics framework uses a layered forecasting architecture: deterministic base load models, stochastic variability overlays for DER contribution, and real-time adjustment based on AMI data feeds. The result is a probability distribution that operational teams can use for dispatch decisions.
Renewable Integration Protocols
Integrating variable renewable generation into grid operations requires changes at three levels: physical grid architecture, SCADA integration, and operational procedure. Most integration projects address the physical level adequately and underestimate the operational procedure level. SGAMS renewable integration frameworks cover all three levels with specific attention to the operational workflow changes required for system operators.
Energy Interoperability Analyzer
The SGAMS Energy Interoperability Analyzer maps data exchange compatibility across heterogeneous energy system components — identifying where protocol translation overhead, data latency, or model incompatibility creates operational risk.
| System | IEC 61850 | DNP3 | Modbus TCP | OPC-UA |
|---|---|---|---|---|
| SCADA / EMS | Native | Native | Gateway | Gateway |
| Substation RTU | Firmware | Native | Native | Firmware |
| DER Controller | Native | Gateway | Native | Native |
Native = direct support · Gateway = translation required · Firmware = vendor update required
Advanced Metering Infrastructure
AMI deployments that treat smart meters as billing devices miss the operational intelligence potential. The SGAMS AMI framework defines the data architecture, communication infrastructure, and MDMS integration required to use AMI data for operational decision support — load profiling, outage detection, power quality monitoring, and demand response.