Atlas Edge
A Physics-First Distributed EMS for Modern Grids
Modern energy systems are becoming more complex than traditional control architectures can handle. Atlas Edge brings a new idea to the grid: spectral geometry as a control system.
One platform that replaces fragmented SCADA + EMS + DERMS stacks with a single physics-first control layer.
One Platform. Complete Grid Intelligence.
We combine capabilities that traditionally require multiple vendors:
The Challenge
Renewable Variability
Wind and solar oscillate unpredictably, stressing grid stability
Massive Battery Fleets
Each with different dynamics, constraints, and degradation curves
Interacting Control Loops
Thermal, storage, and renewables chase each other in unstable feedback
Aging Equipment
Failures are nonlinear and hard to forecast with traditional methods
Compliance Load
NERC CIP, FERC, and regulatory requirements grow each year
Exploding Data Volume
More SCADA points per asset than control rooms can process
Traditional EMS and SCADA systems respond with more software on top of more software.
More layers, more tuning, more brittleness.
Atlas Edge takes a physics-first route.
How Atlas Edge Works
Atlas Edge treats the entire grid as a coupled spectral field.
Universal Spectral Embedding
All telemetry and control signals are mapped into a shared phase-space using a universal spectral operator. Only minimal semantic mapping per asset type (no custom models per site).
Geometric Coherence Measurement
Instantly measure how in-sync or out-of-sync each asset is with the fleet. Kuramoto-based fleet coherence scoring across the entire system.
Distributed Stabilization
Grow the modes that add stability. Dampen the modes that add oscillation. Hold the modes that are neutral. Works across assets, technologies, and time scales.
What's Inside Atlas Edge
Not just analytics â a full SCADA + EMS + DERMS stack with a spectral control core.
Complete SCADA Layer
- âModbus TCP, DNP3, IEC-104, OPC-UA protocols
- âHistorian (TimescaleDB) with A/B redundancy
- â20+ HMI pages for complete operations
- âAlarms, SOE, logbook, work orders
- âHistorical replay, trends, compliance reporting
Full EMS / DERMS Architecture
- âAGC (Automatic Generation Control)
- âEconomic dispatch with Îŧ-iteration
- âState estimation (WLS-based)
- âFleet-level coherence (Kuramoto order parameter)
- âMixed fleet control: thermal + renewable + storage
Predictive Maintenance, Built In
- âJ-lag wear accumulator for fatigue tracking
- âBattery monotonic stability (45° attractor)
- âTurbine and generator health scoring
- âSpectral drift forecasting
Distributed Edge Compute
- â91/9 autonomy architecture
- âLocal fallback during network loss
- âOnly escalates unusual patterns
- âReduces cloud cost and latency
Universal Asset Layer
Supported assets with semantic mappings + spectral control models:
Use Cases
Renewable Stabilization
Dampen oscillations, reduce chasing behavior, improve ramp smoothness across wind and solar fleets.
Battery EMS
Coordinated fleet charging/discharging without central optimizer brittleness.
Oscillation Dampening
Instant detection and suppression of hidden cross-asset feedback loops.
Mixed-Fleet Coordination
Thermal + renewable + storage working together instead of against each other.
Predictive Maintenance
Early detection of mechanical or electrical degradation through spectral drift.
NERC CIP Compliance
Built-in audit logging, CIP-007 exports, and security controls.
Why Spectral Geometry?
Traditional control systems fight complexity with more tuning, more nested PI loops, more ML models, more heuristics.
Atlas Edge fights complexity with geometry.
Zero Manual Tuning
The system continuously adapts using universal physics. No parameter adjustment per site or asset.
Transparent
Based on mathematical invariants, not opaque ML. Every decision is traceable.
Cross-Asset
Works on every class of device, because physics does. Wind, solar, batteries, thermal â one framework.
Microsecond Fast
~5-10 Ξs spectral computation. 926à faster than equivalent Python. Real-time stability decisions.
Stability emerges from the structure of the spectral field itself â
not from thousands of hand-tuned parameters.
Current Status
Physics kernel implemented â Spectral engine integrated into the platform
50+ production features implemented across control, visualization, compliance
Full SCADA + EMS + DERMS integration in single platform
7 asset controllers with semantic mappings operational
Pilot plans defined for wind, solar, and battery sites
Looking for pilot partners for controlled field deployments
Preparing for field deployment validation
For utilities, operators, and OEMs:
Atlas Automations LLC âĒ Physics-first algorithms for complex systems
ÂĐ 2024-2025 â All Rights Reserved