GRID_INTELLIGENCE_PLATFORM
Grid IntelligencePlatform forForecasting& AutonomousControl
End-to-end Grid Intelligence Platform unifying probabilistic forecasting, OpenADR-compliant demand response, and real-time RL agentsfor grid topology & dispatch optimization.
Grid2Op
PyPSA
FlexMeasures
OpenADR 2.0
GasLib
CURTAILMENT_REDUCTION_%
20%
Proactive re-dispatch
CONGESTION_COST_%
15%
Lower real-time balancing
DR_UTILIZATION_X
1.5×
OpenADR interoperability
GRID_BALANCING_CHALLENGES
Utilities must balance volatile supply
with inelastic demand while maintaining stability
01
Volatile Supply vs Inelastic Demand
Balance volatile renewables with inelastic demand while maintaining stability, safety, and cost targets
RESULT
Curtailment costs
02
Traditional Planning Tools
Batch/offline planning tools and static dispatch rules cannot handle minute-to-minute grid constraints
RESULT
Congestion costs
03
Demand Response Under-utilization
DR programs under-utilized due to interoperability frictions and lack of real-time optimization
RESULT
Imbalance penalties
04
Grid & Gas Constraints
Thermal/voltage/security constraints change minute-to-minute; gas pipeline pressures introduce network constraints
RESULT
Avoidable emissions
End-to-End Grid Intelligence Platform
Probabilistic
Load/price/renewable forecasting
OpenADR-compliant
DR orchestration & optimization
Real-time RL
Grid topology & dispatch agents
Co-planning
Gas network optimization
REAL, SCALED ANCHORS (OPEN, ACTIVE)
Real-World Foundation
01
Grid2Op
Open RL environment for power-grid operations; backbone of the L2RPN competitions; used by industry & research to train/control agents that keep the grid secure under contingencies
SOURCE
GitHub
02
PyPSA / pandapower
Widely used open-source power system analysis & optimization toolkits (AC/DC power flow, unit commitment, sector coupling)
SOURCE
pypsa.org
03
FlexMeasures
LF Energy project; intelligent EMS that turns data into optimized schedules for flexible assets (batteries, heat pumps, industrial loads); ideal for DR/DER orchestration backends
SOURCE
LF Energy
04
OpenADR 2.0
Open standard for automated demand response; 2.0b profile & DR program guide enable interoperable DR events between utilities, aggregators, and devices
SOURCE
openadr.org
05
GasLib
Vetted natural-gas network instances (topologies, pressure/flow bounds, nominations) for optimization & simulation; de-facto reference datasets
SOURCE
gaslib.zib.de
06
NREL data & ARIES/OS tools
Open datasets, models, and news on low-inertia system modeling and integration, useful for validation and scenario testing
SOURCE
nrel.gov
All anchors are open, active, and industry-proven - providing the foundation for utility-grade grid intelligence solutions
UTILITY_GRADE_ARCHITECTURE
End-to-End Architecture
01
Data Sources
Meters/SCADA/PMU
Weather
Markets
DER/Devices
Gas Nominations
↓
02
Data Fabric
Time-series ETL
Quality checks
Consent & device registry (OpenADR VENs)
Feature Store
↓
03
Forecasting Layer
Probabilistic load/solar/wind/price (TFT/Transformers)
DR/DER Optimizer (FlexMeasures)
Unit Commitment & OPF (PyPSA/pandapower)
↓
04
Real-time Control
Grid2Op RL agents (topology switching, redispatch)
Constraints guard
OpenADR VTN for DR eventing
Gas network co-planning
↓
05
Apps & Copilots
Operator console
Market bidding
Portfolio risk
Explainability
MODULE_1
Probabilistic Forecasting
Load/RES/Price
Key Features
1
Temporal Transformers (TFT-style) produce quantile forecasts per feeder/zone
2
Exogenous features: weather, holidays, events, DER telemetry
3
Calibrated distributions feed unit-commitment and DR sizing
4
Error attribution shown per driver (weather vs behavior)
TFT-style models provide quantile forecasts with error attribution per driver for improved decision making
MODULE_2
DR & Distributed Flexibility Orchestration
FlexMeasures Backend
FlexMeasures backend computes optimized schedules for flexible assets (battery, HVAC, EV, thermal storage)
Exposes APIs for device control & KPIs under tariffs and constraints
OpenADR 2.0b Integration
OpenADR 2.0b VTN/VEN stack issues events (PRICE_REL, SIMPLE, GRID_RELIABILITY)
Templates per DR program per the OpenADR DR Program Guide
FlexMeasures provides intelligent EMS optimization while OpenADR 2.0b ensures interoperable demand response events
MODULE_3
Security-Constrained Dispatch & Autonomous Control
Key Features
1
PyPSA/pandapower compute DC/AC OPF & N-1 security checks; outputs setpoints & feasible regions
2
Grid2Op RL agent trained with L2RPN-style contingencies learns topology switching, line re-dispatch, storage actions
3
Agent keeps grid within limits under faults & stochastic injections; winning strategies demonstrate robust online control
4
Human-in-the-loop: agent actions must pass OPF/thermal/voltage guards; operators accept/override with one click
Grid2Op RL agents provide robust online control with human-in-the-loop guardrails for safe autonomous operation
MODULE_4
Natural Gas Network Co-Planning
GasLib Integration
GasLib topologies + nominations drive nonlinear gas-flow optimization (pressures, compressor stations); coupled to power models for gas-fired generation feasibility under DR/market scenarios.
Optimization:
Gas network pressure/flow constraints + power system coupling
GasLib datasets enable comprehensive gas-power co-planning for integrated energy system optimization
MODULE_5
GenAI Operator Copilot
Retrieval-Grounded
Example Query
Query:
"What's the least-cost DR portfolio to clear 50 MW at 6–8 pm with <2 °C comfort loss?"
Retrieval Grounding
Grounded on FlexMeasures schedules
OpenADR catalog integration
OPF outputs and constraints
Cites data & constraints IDs
GenAI copilot provides retrieval-grounded answers with full citation and constraint references
Web & Mobile Apps
Production UX
Control Room Web
Forecast ribbons, risk heatmaps (line loading/voltage)
What-if sliders (DR MW, redispatch caps)
Explainability: show which feeders/segments drive reserve need
Agent recommendation explanations
Field Mobile
Crew work orders for re-configuration
Device/DER opt-in approvals
Push alerts for DR events
Real-time grid status updates
Market Ops
Bid composer for day-ahead/intraday
Portfolio at-risk under forecast quantiles
Market price forecasting
Risk management dashboards
Deployment & MLOps
| LAYER | STACK |
|---|---|
Data lake & TSDB | Delta/S3 + TimescaleDB |
Feature store | Feast |
Training | Ray + PyTorch Lightning |
Optimization | PyPSA/pandapower, CVX/HiGHS/Ipopt |
RL / Sim | Grid2Op + custom envs |
DR backend | FlexMeasures; OpenADR VTN/VEN |
Serving | Triton/FastAPI; on-prem or VPC |
Monitoring | Prometheus/Grafana; drift with Evidently |
Security | RBAC, HSM-backed keys, network segmentation |
Safety, Compliance & Standards
Key Requirements
1
OpenADR 2.0b for DR interoperability; device enrollment & telemetry templates per the Program Guide
2
Guardrails: all RL actions gated by OPF feasibility + rate-of-change limits
3
Automatic fallback to rule-based dispatch for safety
4
Audit: every decision logs model version, forecast snapshot, security margin, and operator outcome
KPIs & Expected Impact
Defensible
| AREA | KPI | TYPICAL IMPROVEMENT |
|---|---|---|
Forecasting | WMAPE, P50/P90 coverage | 15–30% error reduction vs classical baselines |
DR utilization | MW delivered / event | 1.3–1.8× uplift due to better targeting & OpenADR interoperability |
Congestion & curtailment | MWh curtailed | 20–40% reduction via proactive re-dispatch + topology actions |
Balancing cost | $ / MWh | 10–25% lower real-time balancing costs |
Reliability | N-1 violations | Fewer high-risk intervals; faster recovery under contingencies |
Gas–power coupling | Compressor energy / constraints breaches | 10–15% compressor energy reduction; fewer pressure constraint hits |
Case Snapshots (Anonymized)
Inspired by comparable deployments
01
Urban DSO (Europe)
1.2 GW system
Line overload reduction
37%
Evening peak cut
62 MW
Grid2Op-trained agent with OPF guard reduced line overload minutes during PV ramps; DR events via OpenADR cut evening peak (comfort loss <1°C).
02
Industrial Aggregator
48 sites (batteries, furnaces)
Incremental DR revenue
$3.1M/yr
Peak demand reduction
-12%
FlexMeasures optimizes flexible assets across industrial sites with significant revenue and demand charge reductions.
03
Gas-fired Fleet Planner
PyPSA + GasLib co-optimization
Pressure violations avoided
Under cold-snap
Compressor energy reduction
-9%
Avoids pressure violations under cold-snap nominations; compressor energy reduction without risking unit derates.
Standards-compliant Grid Intelligence Platform
Tensorblue delivers a deployable operating layer that speaks utility standards, plugs into existing SCADA/DERMs, and measurably lowers balancing cost and curtailment while improving reliability.
REFERENCES_SELECTED
Grid2Op
L2RPN
PyPSA
FlexMeasures
OpenADR 2.0b
GasLib
Forecasting → DR orchestration (OpenADR) → OPF + RL control (Grid2Op/L2RPN) → gas–power co-planning (GasLib), with operator-first UX and strict guardrails.