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© 2016 Electric Power Research Institute, Inc. All rights reserved.
Pat Brown
Principal Technical Leader, EPRI
John Simmins
Technical Executive, EPRI
Informational Webcast
November 2, 2016
Distribution GIS &
Grid Model
Data Management
Supplemental Project
2© 2016 Electric Power Research Institute, Inc. All rights reserved.
EPRI Presenters
John Simmins – Technical Executive
[email protected] or 865-218-8110
Pat Brown – Principal Technical Leader
[email protected] or 913-449-0736
3© 2016 Electric Power Research Institute, Inc. All rights reserved.
The new Distribution world
Challenges/opportunities
– New functionalities (DER, micro-grid)
– New technologies (mobile, sensors, AMI, intelligent relays)
– New expectations (regulatory, customer)
Aspirations
– Accurate fault location, isolation and service
restoration
– Empower field crews with useful tools
– Manage and proactively leverage the benefits of DER
– Energy efficiency improvements of advanced
Volt/VAr control
– Asset management to prioritize expenditures,
improve reliability & reduce maintenance costs
4© 2016 Electric Power Research Institute, Inc. All rights reserved.
Lots of types of data support the aspirations…
…we’re focusing on geospatial and grid model data
Utility-owned grid asset data
Field data
– AMI readings, load
– Real-time measurements, multi-second and sub-cycle
Geospatial data
Non-utility owned asset data
Non-grid asset data
– Protection assets
– Communications assets
– Cyber security assets
Grid model data
Field device configuration data
5© 2016 Electric Power Research Institute, Inc. All rights reserved.
We’re focusing on grid model data because…
It underpins functions using simulations
• Outage management / planning
• Expansion planning
• Protection design
• Power quality analysis
• FLISR
• DER management
• Volt/VAr optimization
It provides input to other critical functions
• Field crew enablement
• Generation control
• Effective asset management
• Load forecasting
• Visualization
6© 2016 Electric Power Research Institute, Inc. All rights reserved.
(Distribution) Grid models are derived from GIS geospatial data
12.5 kV
161 kV
12.5 kV
Network
Model
Asset
Geospatial
Model
We’re focusing on geospatial because…
7© 2016 Electric Power Research Institute, Inc. All rights reserved.
What is grid model data?
Represents grid electrical behavior characteristics and state
Data representing a simplified view of the electrical grid, including
equipment, its electrical behavior and its connectivity, as well as its
operating state at a moment in time, that is sufficient to describe a
starting point for network analysis.
Input to all sorts of network analysis and simulations
– Steady-state power flows
– Dynamics (sub-cycle) study runs
– State estimation
– Contingency analysis
– Short circuit
– Outage detection (unplanned) and definition (planned)
– Operator training simulators
8© 2016 Electric Power Research Institute, Inc. All rights reserved.
What is grid model data?
Used across Planning, Operations, Protection and Market
domains
Comprised of two main parts
– Physical network model - grid equipment electrical behavior and
connectivity
– Operating assumptions - snapshot of the ‘state of the grid’ at a
moment in time (breaker states, loads, generation)
Usually consumed in cohesive subsets
– Simulations require collections of data that ‘make sense’
– Simulations need only part of the model
Can require simplification
Typically has multiple sources
Grid model data is both complex and important
9© 2016 Electric Power Research Institute, Inc. All rights reserved.
Grid model usage
Diagram courtesy of Open Grid Systems
There is only one grid
But…. different consumers want
– Different parts of the system
– Different types of data
– Different levels of detail
– Different system states
– Different points in time
10© 2016 Electric Power Research Institute, Inc. All rights reserved.
EMS/Ops
Planning
Protection
Training
Simulator
Transient
Analysis
Expansion
Planning
. .
. .
. .
. .
. .
Every tool requires its own
network model, in its own format
Every tool has its own users
and maintainers
Silos are both technical and
organizational
Grid model data management
Transmission– Consistently across industry
– In well-established silos
11© 2016 Electric Power Research Institute, Inc. All rights reserved.
TSOEMS
Protection
Planning
ISO
Planning
Market
TSOEMS
Protection
Planning
ISO
EMS
Market
Interconnect
Planning
Silos at multiple levels – TSO, ISO, Interconnect
Transmission– Consistently across industry
– In well-established silos
Grid model data management
12© 2016 Electric Power Research Institute, Inc. All rights reserved.
Grid model data management
Transmission– Consistently across industry
– In well-established silos
– Without an overarching data management strategyNetwork Cases
EMSNetwork Model
Enterprise Data Sources
Line Impedance Calculation
Circuit Description
Transformer Data
Substation As-Built
Outage Studies
Substation Load History
Planning Base Cases
Import/Export Cases
Generator data
Plans
Line Rating Calculation
Validation Cases
ProtectionModel/Cases
GIS
Outages
13© 2016 Electric Power Research Institute, Inc. All rights reserved.
Grid model data management
Transmission– Consistently across industry
– In well-established silos
– Without an overarching data management strategy
– With wasted effort, trapped data and increased potential for error in
studies
– Slowly growing number of applications, occasional new
implementations of proprietary exchange formats
14© 2016 Electric Power Research Institute, Inc. All rights reserved.
Grid model data management
Transmission– Consistently across industry
– In well-established silos
– Without an overarching data management strategy
– With wasted effort, trapped data and increased potential for error in
studies
– Slowly growing number of applications, occasional new
implementations of proprietary exchange formats
Distribution– Inconsistently from utility to utility
– In ad-hoc, often unrecognized silos
– With missing and trapped data
– New one-off data exchange solutions being created for multiple new
classes of applications
– For a vastly larger number of electrical grid elements
15© 2016 Electric Power Research Institute, Inc. All rights reserved.
EPRI Network Model Management in Transmission
Recent activities
– Exploring / understanding requirements
– Proposing Network Model Management solution architecture
– Encouraging vendor product development
– Helped launch utility implementations
– Educating utilities
16© 2016 Electric Power Research Institute, Inc. All rights reserved.
Publicly available reports
Network Model Manager Technical Market RequirementsProduct ID 3002003053Overview of consolidated model management tool requirements.
Using the CIM for Network Analysis Data Management: A CIM Primer Series Guide
Product ID 3002002587Introduction to the use of CIM for efficient handling of information required by network analysis applications. Written for power system engineering professionals.
Network Model Manager and Repository: A Guide to Exploring the Potential of Centralized Network Model Management
Product ID 3002000609Utility do-it-yourself guide for exploring existing network model information practices and envisioning how a consolidated network model management approach might improve modeling process efficiency and accuracy.
Network Model Manager Technical Market RequirementsProduct ID 3002003053Overview of consolidated model management tool requirements.
Using the CIM for Network Analysis Data Management: A CIM Primer Series Guide
Product ID 3002002587Introduction to the use of CIM for efficient handling of information required by network analysis applications. Written for power system engineering professionals.
Network Model Manager and Repository: A Guide to Exploring the Potential of Centralized Network Model Management
Product ID 3002000609Utility do-it-yourself guide for exploring existing network model information practices and envisioning how a consolidated network model management approach might improve modeling process efficiency and accuracy.
EPRI Network Model Management in Transmission
17© 2016 Electric Power Research Institute, Inc. All rights reserved.
Network Cases
EMSNetwork Model
Enterprise Data Sources
Line Impedance Calculation
Circuit Description
Transformer Data
Substation As-Built
Outage Studies
Substation Load History
Network Model Manager
As-Built Internal
As-Built External
Plans Internal
Plans External
Planning Base Cases
Import/Export Cases
Generator data
CM
Plans
Line Rating Calculation
Validation Cases
PNM
ProtectionModel
GIS
Object Registry
Outages
Industry impact
– Have Network Model Management architecture, supported by IEC
Common Information Model standard
EPRI Network Model Management in Transmission
18© 2016 Electric Power Research Institute, Inc. All rights reserved.
Industry impact
– Have Network Model Management architecture, supported by IEC
Common Information Model standard
– There are now viable network model management tools
Dramatic improvement over last 2 years
No one vendor ‘has it all’ yet, but several are getting close
EPRI “Network Model Manager Technical Market Requirements”
document used as basis for RFPs
– Increasing utility interest
EPRI Network Model Management in Transmission
19© 2016 Electric Power Research Institute, Inc. All rights reserved.
Observations on Distribution network model management
Problem similar in T and D
Slide from 2014 AEP NMMI program
presentation
Slide from John Bubb’s ‘Architecting the
Future Grid’ presentation (2016)
20© 2016 Electric Power Research Institute, Inc. All rights reserved.
Observations on Distribution network model management
Huge overlap in requirements between T and D
NMM functional requirements
(from “Network Model Manager Technical Market Requirements” )
1. Enable management of Physical Network Model parts, which
contain data representing electrical capabilities of physical grid
elements
Model Parts are an entity’s representation of a portion of the
electrical grid
Model Parts fit within a framework of boundaries
Model Part versions include current as-built and go back into
history
Potential changes to Model Parts expressed in terms of Projects
2. Provide Object Registry services, to create and maintain the
mapping of network model objects among various systems
3. Support for Workspaces, in which multiple users concurrently
carry out NMM operations in their own environments
21© 2016 Electric Power Research Institute, Inc. All rights reserved.
Observations on Distribution network model management
Huge overlap in requirements between T and D
NMM functional requirements
(from “Network Model Manager Technical Market Requirements” )
4. Provide Graphical User Interface capabilities, which support
viewing and editing via schematics, object detail, tabulars
5. Support model and case assembly, according to the CIM 61970
modular conceptCase = physical network Model Parts + Projects + state assumptions
6. Perform model validation, at multiple levels from basic data entry
checks to power flows
7. Support external integration, via CIM interfaces
8. Have model-driven configuration, where schema of stored,
imported and exported data is defined by an information model
22© 2016 Electric Power Research Institute, Inc. All rights reserved.
Observations on Distribution network model management
Huge overlap in requirements between T and D
NMM functional requirements
(from “Network Model Manager Technical Market Requirements” )
9. Use engineering design (asset connectivity) detail as input,
storing engineering design data and to hosting computation of
circuit impedances and ratings from detailed line information or
transformer data
NMM functional requirements are
independent of hosting system choice
23© 2016 Electric Power Research Institute, Inc. All rights reserved.
Observations on Distribution network model management
Some differences
– ‘As-Constructed’ vs ‘As-Operated’
Artifact of earlier constraints
Difference is simply collection of ‘temporary changes’
Applications often need both
– Importance of field crews
Best source and ultimate consumer of network model data
Enablement should be high priority
– Geospatial models vs network models
Geospatial models – physical asset locations and connectivity
Network models – state of grid from electrical behavior perspective
Assets
Geospatial
Model
Network
Model
24© 2016 Electric Power Research Institute, Inc. All rights reserved.
So what are we proposing?
Multi-year, multi-utility collaborative
supplemental project
Goals
– Define architecture for Distribution grid
model data management
– Promote industry understanding of and
vendor product support
– Provide participating utilities with
actionable strategies for improvement
– Advance the data exchange standards
to fully support Distribution grid modelsDistribution
GIS and Grid Model Data
Management
25© 2016 Electric Power Research Institute, Inc. All rights reserved.
So what are we proposing?
Participation from vendors, and standards groups
With input from multiple distribution utility perspectives– Operations
– Engineering
– Planning
– Protection
– Field
– IT
Using the transmission NMM architecture as a guide
26© 2016 Electric Power Research Institute, Inc. All rights reserved.
So what are we proposing?
Combine investigation, design and demonstration activities
3 areas of focus:
– GIS data cleanup
‘Technologies of Promise’ exploration
Geospatial modeling best practices
– Field enablement
Solution architecture evaluation
Demonstration
– Distribution enterprise grid model data management
Utility deep dives
Data exchange standard advancement
Distribution Grid Model Management Tool requirements
27© 2016 Electric Power Research Institute, Inc. All rights reserved.
Year 2
Year 3
Year 1
GIS Cleanup
Exploration of GIS
cleanup technologies
Field Crew Enablement
Alternate solution
architectures
Grid Model Data Management
GIS population
best practices
Solution demonstration
Data exchange standards
development
GIS Grid Data Manager Tool Requirements
Project Strategy
Utility deep-diveUtility deep-
diveUtility deep-diveUtility deep-
diveUtility deep-dive
Revised best
practices
Kickoff MeetingKickoff
Meeting
G&T Focus Team
Progress Meeting
Tech Transfer Meeting
So what are we proposing?
30-month project
Funding:– Level 1 (basic): $100 - $200K (based on utility size)– Level 2 (deep-dive participant): $25K additional
Minimum of 10 utilities to launch
28© 2016 Electric Power Research Institute, Inc. All rights reserved.
Value proposition
Industry – Encourage development of visionary
product functionalities by vendors
– Promote interoperability among
products
– Enable deployment of future grid
solutions by utilities Distribution
GIS and Grid Model Data
Management
29© 2016 Electric Power Research Institute, Inc. All rights reserved.
Value proposition
Utility – If you are
Cleaning GIS data / upgrading your GIS
Implementing new applications (DMS, OMS, planning/protection
tools, V/VO, FLISR)
Concerned about DER management in Operations/Planning
Wondering how to best get data to/from field crews
Troubled by data quality
– This project will help you
Develop understanding of local GIS and grid model data
requirements and opportunities
Start building data management foundation on which next-
generation applications can be deployed
30© 2016 Electric Power Research Institute, Inc. All rights reserved.
Value proposition
Utility – This project
Provides an architecture to guide data
integration decisions
Kick-starts internal stakeholder
discussions
Is cost-effective approach to required
integration design work
Leverages the power of collaboration
Distribution
GIS and Grid Model Data
Management
31© 2016 Electric Power Research Institute, Inc. All rights reserved.
Distribution GIS & Grid Model Data Management
supplemental project
For additional information– Contact:
Pat Brown [email protected] or
John Simmins [email protected] or
Christine Hertzog [email protected]
– SPN available soon
Discussion….