Power Grid Management

Part of the worlds-biggest-software-project initiative.

An open, AI-native platform for generation dispatch, demand forecasting, and outage management across modern transmission and distribution grids.

Power Grid Management is a candidate project to build a unified, modern Energy Management System (EMS) and Advanced Distribution Management System (ADMS) for utilities navigating the transition to renewables, distributed energy resources (DERs), and electrified demand. It targets grid operators, municipal and cooperative utilities, and independent power producers who need real-time situational awareness, dispatch, and outage workflows in a single platform.

Why Power Grid Management?

The commercial EMS/ADMS market is overwhelmingly proprietary, dominated by GE Vernova GridOS, Hitachi Energy Network Manager, Siemens Spectrum Power, Schneider EcoStruxure ADMS, Emerson Ovation, and Oracle NMS — with multi-year deployments and significant systems-integrator overhead.
Legacy energy management systems were designed for a centralised, fossil-fuelled grid and scale poorly to distribution networks with millions of DER endpoints.
Municipal and cooperative utilities are effectively priced out of incumbent suites; there is no modern, modular, open-source EMS/ADMS stack to fill the gap.
Renewable forecasting accuracy is degrading with changing climate patterns, while regulators increasingly demand explainable, auditable forecasting models that closed AI products do not provide.
Developer experience across incumbents is limited: REST/GraphQL APIs, SDKs, and webhooks layered over CIM are an underserved opportunity.

Key Features

Real-Time Operations and SCADA

SCADA telemetry ingestion via DNP3, IEC 61850, and IEC 60870-5-104
Real-time state estimation and topology processing
Contingency analysis (N-1) and security assessment
Alarm management with prioritisation and acknowledgement
High-availability deployment with hot standby and automatic failover

Generation Dispatch and Markets

Automatic generation control (AGC), economic dispatch, and unit commitment
Security-constrained dispatch and market offer management
Interface with wholesale electricity markets (CAISO, ERCOT, PJM, MISO equivalents)
Bid/offer management and settlement workflows

Forecasting

Short-term load forecasting with weather coupling and confidence intervals
Medium- and long-term load forecasting for planning
Wind and solar generation forecasts integrated with numerical weather prediction (NWP) feeds
Probabilistic forecasts for renewable variability

Outage and Distribution Management

Outage list with manual entry, switching order management, crew dispatch, and estimated restoration time
Storm-mode workflows for mass-outage events
Map-centric operator UI with single-line diagrams
Fault location, isolation, and service restoration (FLISR) patterns from incumbents

DER and Flexibility

DER registry with OpenADR 2.0b and IEEE 2030.5 support
Demand response dispatch and virtual power plant (VPP) coordination
Aggregation of distributed resources for wholesale market participation

Network Model and Integration

CIM-based network model store with IEC 61968/61970 import/export
REST API and event stream for downstream consumers
Audit log and role-based access control
Co-simulation bridge to OpenDSS and GridLAB-D for offline studies

AI-Native Advantage

The research identifies several AI-augmentation opportunities that incumbents either do not offer or deliver as closed black-box features: probabilistic load and renewable generation forecasting with confidence intervals, outage prediction and pre-positioning of crews ahead of storms, anomaly detection in SCADA telemetry for cyber and equipment events, automated switching order generation with operator-in-the-loop review, and natural-language operator assistants for procedure lookup and event briefings. DER dispatch optimisation under uncertainty and reinforcement-learning-based volt/VAR optimisation are further candidates. A core differentiator is transparent, auditable forecasting models that meet growing regulatory expectations for explainability.

Tech Stack & Deployment

The platform targets cloud-native, containerised deployment (Kubernetes-style) as a contrast to monolithic on-prem incumbents, while supporting the air-gap and demilitarised-zone architectures required for critical-infrastructure operation. Open standards are central: CIM (IEC 61968/61970) for network models, IEC 61850, DNP3, IEC 60870-5-101/104, and ICCP/TASE.2 for telemetry, and OpenADR 2.0b and IEEE 2030.5 for DER interoperability. Open-source building blocks GridLAB-D (BSD-style, US DOE/PNNL) and OpenDSS (BSD-style, EPRI) are available for distribution simulation and co-simulation via HELICS. Operating environments must meet "five nines" availability targets and comply with NERC CIP in North America and NIS2 in Europe.

Market Context

The market is dominated by large industrial vendors (GE Vernova, Hitachi Energy, Siemens, Schneider Electric, Emerson, Oracle) selling enterprise EMS/ADMS suites with per-seat, per-substation, or enterprise licensing and multi-year implementation cycles. Specialist forecasting and market-analytics providers (Energy Exemplar Aurora, Enverus Power & Renewables, Yes Energy) operate on subscription models with restrictive data-licence terms. Primary buyers are ISOs/TSOs, investor-owned utilities, municipal and cooperative utilities, independent power producers, and energy traders; the candidates table records this project at complexity 10 with low domain availability and low demand.

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Licence

Licence to be determined. See discussion for context.