1. OpenFIDO Berk Serbetcioglu (SLAC) CEC Advanced Simulation Program
6 September 2019
This presentation was prepared with funding from the California Energy Commission under grant EPC SLAC National Accelerator Laboratory is operated for the US Department of Energy by Stanford University under Contract No. DE-AC02-76SF00515

2. Import & Validate (OpenFIDO)
Overview
External
datasets
External models
Shared datasets
Shared models
Import & Validate (OpenFIDO)
Simulate
(HiPAS & GLOW)
Analyse (custom)
CSV Files
Plots
MySQL Data
Copy/link
(Cloud Security)
Motivation
Approach
Preliminary Results
Next Steps
Acknowledgements
The LoadInsight project is funded by the US Department of Energy under the Office of Electricity (OE) Advanced Grid Modeling Program and the Office of Technology Transition (OTT) Technology Commercialization Fund (TCF).

3. Problem Solution Goals
Difficult exchange of power systems data between:
Utilities
Customers
Consulting Engineers
Regulators
limits the growth of resources and places a limit on the speed California can reach its climate change mitigation goals
Create a data interchange, synthesis and analysis framework that provides information exchange between different power systems tools such as:
CYME
GridLAB-D
OpenDSS
Opal-RT
RTDS
Produce data integration framework (including UI)
Establish foundation for long-term data integration and exchange system
Raise barrier for fast resource integration
Increase speed California can reach its climate mitigation goals

4. OpenFIDO Workflow [AMI] Import Loads Build GLM {Loads} {Settings}
[SCADA]
Modify GLM
{GLM}
Import Network
Validate GLM
[CIM]
{Network}
Ok?
(GLOW)

5. Importing existing load data for simulation
Residential Building Stock Assessment (RBSA)
By Northwest Energy Efficiency Alliance (NEEA) for Bonneville Power Administration (BPA)
Originates from Pacific Northwest region only
Data projected to California cities using weather sensitivity analysis
Original data set from
Updated data set(s) coming
Commercial End-Use Survey (CEUS)
Commercial building loads developed by Itron for CEC
Supports all regions of California
Based on simulations calibrated to measurements
Original data set from 2002
Currently being used to develop and validate NERC Planning Load Models

6. RBSA Pipeline [RBSA config] Extract RBSA {RBSA data} Clean RBSA
Constant across pipelines
RBSA Pipeline
Pipeline Specific
[RBSA config]
Extract RBSA
{RBSA data}
Clean
RBSA
{RBSA loads}
[Device map]
Group
Devices
{Site loads}
Sites
{Area loads}
{Zipcode map}
Zipcodes
{TMY data}
Zipcode
Correlation
[City list]
[Sensitivity Analysis Parameters]
Find Sensitivities
{Loadshapes}
Enduses
{Enduse loads}
Undiscount
Gas
[Electrification Fractions]
{Total loads}
[Normalizing Rules]
Normalize
[NOAA Data]
Index
Heat/Cool
{Normal loads}
Project
Loadshape
{TMY map}
{Total
loadshapes}
Discount
{Enduse
{Normal
[Daytype Definitions]
Extract Daytypes
{Residential Composition}
{HeatCool index}
[Temperatures]
[Configurable]

7. Example output

8. CEUS Pipeline [Enduse map] [CEUS config] Extract CEUS {CEUS data}
Constant across pipelines
CEUS Pipeline
Pipeline Specific
[Enduse map]
[Configurable]
[CEUS config]
Extract CEUS
{CEUS data}
Clean
CEUS
{CEUS loads}
Group
Enduses
{Enduse loads}
[Electrification Fractions]
Undiscount
Gas
[Sensitivity Analysis Parameters]
{TMY data}
Zipcode
Correlation
[City list]
{Enduse loads}
{TMY map}
{Loadshapes}
Find Sensitivities
{NOAA data}
[Temperatures]
Project
Loadshape
[Electrification Fractions]
{Enduse loads}
Normalize
{Total
loadshapes}
Discount
Gas
{Enduse
loadshapes}
Normalize
[Normalizing Rules]
[Normalizing Rules]
{Enduse
loadshapes}
[Daytype Definitions]
{Commercial Composition}
Extract Daytypes

9. Example output

10. Climate Sensitivity Analysis

11. Electrification Base Target Gas Total Total Gas Electric Electric
Undiscount Gas
Projection
Discount Gas

12. Feeder Composition Pipeline
Constant across pipelines
Feeder Composition Pipeline
Pipeline Specific
[Configurable]
Done internally by GridLAB-D
{Enduse Components}
Apply RofA
{Residential Composition}
{Enduse Components}
Apply RofA
{Commercial Composition}
[Building Type Mix]
Mix Building Types
[Rules of Association]
[Building Type Mix]
Mix Building Types
[Rules of Association]
{Residential Components}
{Commercial Components}
[Feeder mix]
Compose Feeder
{Feeder Composition}

13. Feeder Composition
Suburban Mix
Rural Mix

14. Importing/exporting network models for simulation
Common Information Model (“CIM” IEC Standards)
CIM → GridLAB-D (GLM)
Conversion based on PNNL GridAPPS-D toolkit
Current process is user-intensive
Automation is work-in-progress
GLM → CIM
Export to CIM is not required in current workflow
Highly useful to help validate the import process
GridLAB-D currently supports output to JSON
JSON ←→ CIM converter is current being investigated
Current JSON → OpenDSS → CIM is user intensive

15. Example output
On its way

16. Next Steps Simplified Framework User Interface Cloud Based
Distribution
Help from TAC Members
Testing and validation
Addition of new/useful file formats
Contribution of sample datasets (NDA or public)

17. Acknowledgements Lawrence Berkeley National Laboratory
Joe Eto
Bonneville Power Administration
Dmitry Kosterev
Anthony Faris
Andres
North American Electric Reliability Corporation
Mohamed Osman
Numerous engineering staff from the following organizations: WECC, RF, PJM, NPCC, MRO, SPP, ERCOT, FRC, SERC