Solar Systems Data, Simplified.
OEDI Solar Systems Integration Data and Modeling (OEDI SI) Platform provides access to testing data, reference algorithms and standard metrics to power systems analysis research community so that researchers can verify their approaches are reproducible, accurate, robust, and scalable.
What is OEDI SI
How to use OEDI SI
OEDI SI provides pre-configured Docker images that allow users to run and analyze power system scenarios effortlessly. Follow these steps to set up and run OEDI SI on your system.
Select Scenario
Select one of the many OEDI SI scenarios
Acquire Data
Choose your data or public data
Pre-process Data
Select from options to pre-produce data
Acquire Algorithm
Choose your algorithm or public algorithm
Analysis Creation
Results are auto-saved in OEDI SI System
Use Cases and Scenarios
Linear Distribution Power Flow for small SFO-P1U area
Determine optimal setpoints of DERs to achieve acceptable system voltages
Linear Distribution Power Flow for IEEE123 test feeder
Determine optimal setpoints of DERs to achieve acceptable system voltages
Extended Kalman Filter DSSE for medium SFO-P6U area
Provide voltage estimation using extended Kalman filter
Extended Kalman Filter DSSE for modified IEEE123 test feeder with private PMU data
Extended Kalman Filter DSSE for IEEE 123-bus test feeder with integrated phasor measurement unit (PMU) data
Machine Learning Based High Impedance Fault Identification
Machine Learning Based High Impedance Fault Identification
IBR System Stability Analysis
IBR System Stability Analysis
EMT simulation for transmission system with IBRs using ParaEMT
EMT simulation for transmission systems with IBRs using an open-source Python-based EMT simulator ParaEMT
View more EMT simulation for transmission systems with IBRs Scenarios
Weighted Least Squares DSSE
Provide voltage estimation with weighted least squares solver
Linear Distribution Power Flow based PV Curtailment for medium Smart-DS test feeder
Comparison of forecasted and real time PV curtailment
Linear Distribution Power Flow based PV Curtailment for small Smart-DS test feeder
Comparison of forecasted and real time PV curtailment
AI Based Event Identification
Detect and identify transient events
Newton Raphson based 3-Phase Decoupled DSSE
Provide voltage estimation using Newton Raphson method
PSO based D-OPF for IEEE123 Bus System
PSO based D-OPF for IEEE123 Bus System
Data Generation for CNN Based Protection Zone Identification
Generate transient data using ATP
Data Anonymization: AMI Data to Load Profile Scenario
Use AMI data to generate load profiles
Weighted Least Squares DSSE PV Estimator medium SFO-P6U
Weighted Least Squares (WLS) state estimation for PV parameters medium SFO-P6U
Extended Kalman Filter DSSE
Provide voltage estimation using extended Kalman filter
Extended Kalman Filter DSSE for large SFO-P9U area
Provide voltage estimation using extended Kalman filter
Data Imputation Scenario for SMART-DS systems
Data Imputation Scenario for SMART-DS systems
Linear Distribution Power Flow based PV Curtailment for IEEE123 test feeder
Comparison of forecasted and real time PV curtailment
Weighted Least Squares DSSE PV Estimator IEEE123 test feeder
Weighted Least Squares (WLS) state estimation for PV parameters for IEEE 123 model
Linear Distribution Power Flow
Determine optimal setpoints of DERs to achieve acceptable system voltages
Synchronous Reference Frame PLL for Unbalanced and Distorted Waveforms
abc-to-dq reference frame conversion using Park’s transformation
Extended Kalman Filter DSSE for modified IEEE123 test feeder with pmu data
Provide voltage estimation using extended Kalman filter
Grid Impedance Estimation
Estimate grid impedance
Weighted Least Squares DSSE PV Estimator small SFO-P1U
Weighted Least Squares DSSE PV Estimator small SFO/P1U
Transient Fault Detection and Identification
Transient Fault Detection and Identification for distribution power grids.
PSO based D-OPF for medium SFO-P6U
PSO based D-OPF for medium SFO-P6U area
Extended Kalman Filter DSSE for small SFO-P1U area
Provide voltage estimation using extended Kalman filter
Feedback-based D-OPF
Provide optimal setpoints for controllable devices
CNN based protection zone identification
Identify and classify the faults into protection-zones
ML-Based Aggregation Model for PV Systems
Aggregation model of distributed PVs using ML
Data Imputation Scenario
Provide estimate for missing streaming measurement data
EMT Data Generation for high penetration grid
Data Generation for Neural Network-based Fault Detection Identification Classification with Inverter-Based Resources
View more Electromagnetic transient (EMT) Data Generation Scenarios
Data Anonymization: AMI Data to Load Profile Scenario for SMART-DS systems
Data Anonymization: AMI Data to Load Profile Scenario for SMART-DS systems
Event Classification for Field Measured Data
CNN based event classification algorithm for field measured data
Linear Distribution Power Flow for medium SFO-P6U area
Determine optimal setpoints of DERs to achieve acceptable system voltages