Ontario Grid Digital Twin

AI-Powered Transmission Grid Intelligence

A high-fidelity digital twin of Ontario's IESO transmission network. Quantifies data centre co-location capacity, load headroom, and stochastic reliability risk across 24 modelled grid nodes using real IESO planning data.

IESO Live DataOntario 2024Centauri Research

Grid Nodes Modelled

24substations

Ontario IESO transmission

Peak Grid Demand

23,891MW

↑ Historical 2024 peak

DC Load Scenarios

500MW

Scalable 0 – 2,000 MW

Monte Carlo Trials

1,000scenarios

Per reliability run

Platform

Analysis Modules

Methodology

Modelling Approach

Load Flow Simulation

Each node is modelled with real IESO substation capacity ratings. Base demand is drawn from 2024 IESO Adequacy Outlook seasonal peak forecasts, disaggregated to the transmission node level.

Monte Carlo Reliability

A 1,000-trial stochastic engine perturbs demand (±15% normal distribution) and DC load (±5%) to compute overload probability distributions across each simulated future.

DC Co-Location Scoring

Each node is scored by available headroom, load factor, grid voltage class, and proximity to the proposed DC load centroid to produce a composite suitability index.

Data Sources

Primary Data

SourceScope
IESO Adequacy Outlook 2024Demand forecasts, peak projections
IESO Generator Output by FuelReal-time generation mix
Ontario Demand Response RegistryDR asset locations & capacities
OPA 20-Year Transmission PlanGrid topology & substation ratings
BCUC DC Interconnect StudiesData centre load profiles
Canada Green Building RegistryLarge facility energy consumption