Distribution Grid Model Data Management: EPRI Project...
Transcript of Distribution Grid Model Data Management: EPRI Project...
© 2017 Electric Power Research Institute, Inc. All rights reserved.
Distribution Grid
Model Data
Management:
EPRI Project &
Methodology
Pat Brown, John Simmins,
Steph Amsbary, Randy Rhodes
EPRI
DistribuTECH
January, 2018
2© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Why
………………………………………………………………………
……………
▪What
………………………………………………………………………
▪How
▪Why EPRI believes a project around network model data
management is so vitally important for the distribution world
today
▪What the EPRI project proposes to do to help the industry
improve its ability to manage network model data
▪How the EPRI project will approach the challenging work of
creating an industry data management architecture
EPRI GIS & Grid Model Data Management projectTopics
3© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Why EPRI believes a project around network model data
management is so vitally important for the distribution world
today
EPRI GIS & Grid Model Data Management projectTopics
4© 2017 Electric Power Research Institute, Inc. All rights reserved.
EMS, Markets
DER
Aggregators
Networked
Transmission
Radial
Distribution
Active Customers, Assets, and Dispatchable Generation
Markets
Networked
Transmission
Radial
Distribution
New Expectations
New PlayersNew Grid-
Connected
EquipmentNew
Technologies
▪The Distribution grid is changing
▪Grid planning & operation requires new analytics & simulations
EPRI GIS & Grid Model Data Management projectWhy? It’s not your grandfathers grid.
5© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Many, many of which execute power flow-based simulations
(network analysis functions)
▪Which require network (grid) models as input
Planning
Models, methods, and tools to
support asset and resource
planning functions to ensure
the safe, reliable, and efficient
modern system.
Operations
Monitoring, controls, automation
technologies and tools to
optimize and ensure the safe,
secure, and reliable operation
of the modern system.
Planning
Models, methods, and tools to
support asset and resource
planning functions to ensure
the safe, reliable, and efficient
modern system.
Operations
Monitoring, controls, automation
technologies and tools to
optimize and ensure the safe,
secure, and reliable operation
of the modern system.DER & LoadForecasting
HostingCapacityAnalysis
ExpansionPlanning
InterconnectionEvaluation
Non-WiresSolution
Evaluation
Protection Design
AdaptiveSettings
OutageManagement& Scheduling
Volt-VArControl
T &DReliabilityPlanning
LoadShedding Demand
Response
DERMonitoring/
Control
FLISR
Short-termDER & LoadForecasting
SituationalAwareness
TrainingSimulator
EPRI GIS & Grid Model Data Management projectWhy? New analytics and simulations.
6© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Network (grid) model data is
“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.”
Grid Model Data ManagementWhy? Analytics and simulations need network models.
7© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Grid model data is complex to manage because it:
– There’s lots of it
– Is made up of different types of data with different update cycles
– Is used to represent one grid past & multiple grid futures
– Has different parts from different sources
– Different studies need different parts
– Typically has a primary source:
▪ With major consistency / completeness issues
▪ That serves primary purposes other than providing grid model data
– Must be assembled into internally consistent, ‘electrically logical’
cases
EPRI GIS & Grid Model Data Management projectWhy? Managing grid model data is challenging.
8© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪To summarize
– Distribution utilities will deploy new analytics and simulations
– Many of which require accurate grid model data
– That is difficult to manage
– And we have a messy starting point…
EPRI GIS & Grid Model Data Management projectWhy?
9© 2017 Electric Power Research Institute, Inc. All rights reserved.
(A)DMS
OMS
Planning Tool
Protection Tool
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
▪Targets &
Cases
EPRI GIS & Grid Model Data Management projectWhy? A messy application eco-system.
10© 2017 Electric Power Research Institute, Inc. All rights reserved.
(A)DMS
OMS
Planning Tool
Protection Tool
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
(A)DMS
OMS
Planning Tool
Protection Tool
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
Substation Engineering Design Tool
▪Targets &
Cases
▪Sources
EPRI GIS & Grid Model Data Management projectWhy? A messy application eco-system.
11© 2017 Electric Power Research Institute, Inc. All rights reserved.
(A)DMS
OMS
Planning Tool
Protection Tool
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
(A)DMS
OMS
Planning Tool
Protection Tool
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
Substation Engineering Design Tool
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
equipment & line connectivitymeasurement
locations
normal operating assumptions
(A)DMS
OMS
Planning Tool
Protection Tool
equipment & line connectivity
equipment & line steady state parameters
equipment & line short circuit
characteristics
equipment dynamic behavior
characteristics
measurement locations
equipment & line steady state parameters
equipment & line connectivity
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
equipment & line steady state parameters measurement
locations
Substation Engineering Design Tool
▪Targets &
Cases
▪Sources
▪Physical
Network
Model Data
EPRI GIS & Grid Model Data Management projectWhy? A messy application eco-system.
12© 2017 Electric Power Research Institute, Inc. All rights reserved.
(A)DMS
OMS
Planning Tool
Protection Tool
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
(A)DMS
OMS
Planning Tool
Protection Tool
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
Substation Engineering Design Tool
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
equipment & line connectivitymeasurement
locations
normal operating assumptions
(A)DMS
OMS
Planning Tool
Protection Tool
equipment & line connectivity
equipment & line steady state parameters
equipment & line short circuit
characteristics
equipment dynamic behavior
characteristics
measurement locations
equipment & line steady state parameters
equipment & line connectivity
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
equipment & line steady state parameters measurement
locations
Substation Engineering Design Tool
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
equipment & line connectivitymeasurement
locations
normal operating assumptions
(A)DMS
OMS
Planning Tool
Protection Tool
load forecasts
energy forecasts
historic measurements
real-time measurements
control setting targets operating limits
generation injections
generation injections
equipment & line connectivity
equipment & line steady state parameters
equipment & line short circuit
characteristics
equipment dynamic behavior
characteristics
real-time measurements
monitored loads
measurement locations
operating limits
meter reads
equipment & line steady state parameters
equipment & line connectivity
operating limits
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
equipment & line steady state parameters measurement
locations
Substation Engineering Design Tool
▪Targets &
Cases
▪Sources
▪Physical
Network
Model Data
▪Case
Assumptions
EPRI GIS & Grid Model Data Management projectWhy? A messy application eco-system.
13© 2017 Electric Power Research Institute, Inc. All rights reserved.
(A)DMS
OMS
Planning Tool
Protection Tool
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
(A)DMS
OMS
Planning Tool
Protection Tool
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
Substation Engineering Design Tool
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
equipment & line connectivitymeasurement
locations
normal operating assumptions
(A)DMS
OMS
Planning Tool
Protection Tool
equipment & line connectivity
equipment & line steady state parameters
equipment & line short circuit
characteristics
equipment dynamic behavior
characteristics
measurement locations
equipment & line steady state parameters
equipment & line connectivity
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
equipment & line steady state parameters measurement
locations
Substation Engineering Design Tool
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
equipment & line connectivitymeasurement
locations
normal operating assumptions
(A)DMS
OMS
Planning Tool
Protection Tool
load forecasts
energy forecasts
historic measurements
real-time measurements
control setting targets operating limits
generation injections
generation injections
equipment & line connectivity
equipment & line steady state parameters
equipment & line short circuit
characteristics
equipment dynamic behavior
characteristics
real-time measurements
monitored loads
measurement locations
operating limits
meter reads
equipment & line steady state parameters
equipment & line connectivity
operating limits
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
equipment & line steady state parameters measurement
locations
Substation Engineering Design Tool
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
equipment & line connectivitymeasurement
locations
normal operating assumptions
(A)DMS
OMS
Planning Tool
Protection Tool
load forecasts
energy forecasts
historic measurements
real-time measurements
control setting targets operating limits
generation injections
generation injections
equipment & line connectivity
equipment & line steady state parameters
equipment & line short circuit
characteristics
equipment dynamic behavior
characteristics
asset nameplate data
line design (conductor & line
detail)
real-time measurements
monitored loads
measurement locations
operating limits
meter reads
equipment & line steady state parameters
equipment & line connectivity
operating limits
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
equipment & line steady state parameters measurement
locations
Substation Engineering Design Toolsubstation
engineering design
▪Targets &
Cases
▪Sources
▪Physical
Network
Model Data
▪Case
Assumptions
▪Engineering
Design
EPRI GIS & Grid Model Data Management projectWhy? A messy application eco-system.
14© 2017 Electric Power Research Institute, Inc. All rights reserved.
(A)DMS
OMS
Planning Tool
Protection Tool
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
(A)DMS
OMS
Planning Tool
Protection Tool
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
Substation Engineering Design Tool
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
equipment & line connectivitymeasurement
locations
normal operating assumptions
(A)DMS
OMS
Planning Tool
Protection Tool
equipment & line connectivity
equipment & line steady state parameters
equipment & line short circuit
characteristics
equipment dynamic behavior
characteristics
measurement locations
equipment & line steady state parameters
equipment & line connectivity
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
equipment & line steady state parameters measurement
locations
Substation Engineering Design Tool
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
equipment & line connectivitymeasurement
locations
normal operating assumptions
(A)DMS
OMS
Planning Tool
Protection Tool
load forecasts
energy forecasts
historic measurements
real-time measurements
control setting targets operating limits
generation injections
generation injections
equipment & line connectivity
equipment & line steady state parameters
equipment & line short circuit
characteristics
equipment dynamic behavior
characteristics
real-time measurements
monitored loads
measurement locations
operating limits
meter reads
equipment & line steady state parameters
equipment & line connectivity
operating limits
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
equipment & line steady state parameters measurement
locations
Substation Engineering Design Tool
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
equipment & line connectivitymeasurement
locations
normal operating assumptions
(A)DMS
OMS
Planning Tool
Protection Tool
load forecasts
energy forecasts
historic measurements
real-time measurements
control setting targets operating limits
generation injections
generation injections
equipment & line connectivity
equipment & line steady state parameters
equipment & line short circuit
characteristics
equipment dynamic behavior
characteristics
asset nameplate data
line design (conductor & line
detail)
real-time measurements
monitored loads
measurement locations
operating limits
meter reads
equipment & line steady state parameters
equipment & line connectivity
operating limits
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
equipment & line steady state parameters measurement
locations
Substation Engineering Design Toolsubstation
engineering design
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
equipment & line connectivitymeasurement
locations
normal operating assumptions
(A)DMS
OMS
Planning Tool
Protection Tool
load forecasts
energy forecasts
historic measurements
real-time measurements
control setting targets operating limits
generation injections
generation injections
equipment & line connectivity
equipment & line steady state parameters
equipment & line short circuit
characteristics
equipment dynamic behavior
characteristics
asset nameplate data
line design (conductor & line
detail)
real-time measurements
monitored loads
measurement locations
operating limits
meter reads
equipment & line steady state parameters
equipment & line connectivity
operating limits
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
equipment & line steady state parameters measurement
locations
Substation Engineering Design Toolsubstation
engineering design
▪Targets &
Cases
▪Sources
▪Physical
Network
Model Data
▪Case
Assumptions
▪Engineering
Design
▪Data Flows
▪NO Data Management Strategy
EPRI GIS & Grid Model Data Management projectWhy? A messy application eco-system.
15© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪To summarize
– Distribution utilities will deploy new analytics and simulations
– Many of which require accurate grid model data
– That is difficult to manage
– And we have a messy starting point…
– And drivers that are increasing and increasingly urgent
▪That’s why EPRI believes a project around network model data
management is so vitally important for the distribution world
today
EPRI GIS & Grid Model Data Management projectWhy?
16© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Why EPRI believes a project around network model data
management is so vitally important for the distribution world
today
▪What the EPRI project proposes to do to help the industry
improve its ability to manage network model data
EPRI GIS & Grid Model Data Management projectTopics
17© 2017 Electric Power Research Institute, Inc. All rights reserved.
Distribution GIS & Grid Model Data Management project
Goal:
Distribution industry grid model data management architecture
▪vendors to implement reusable product interfaces and
▪utilities to implement effective data management solutions
EPRI GIS & Grid Model Data Management projectWhat? A collaborative project.
18© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Collaborative – utilities, vendors, consultants
▪Comprehensive – 3-pronged approach
▪Considered – 30 months
Distribution GIS & Grid Model Data Management project
▪Collaborative
▪Comprehensive
▪Considered
EPRI GIS & Grid Model Data Management projectWhat? A collaborative project.
19© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Participating utilities include
– Arizona Public Service
– Consolidated Edison
– Duke
– ESB (Ireland)
– FirstEnergy
– Great River Energy
– Salt River Project
▪Approach to vendors
– Don’t look to them for funding
– Engage them as much as possible
EPRI GIS & Grid Model Data Management projectWhat? Collaborative.
20© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪1 - Data management architecture
EPRI GIS & Grid Model Data Management projectWhat? A comprehensive 3-pronged approach.
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
equipment & line connectivitymeasurement
locations
normal operating assumptions
(A)DMS
OMS
Planning Tool
Protection Tool
load forecasts
energy forecasts
historic measurements
real-time measurements
control setting targets operating limits
generation injections
generation injections
equipment & line connectivity
equipment & line steady state parameters
equipment & line short circuit
characteristics
equipment dynamic behavior
characteristics
asset nameplate data
line design (conductor & line
detail)
real-time measurements
monitored loads
measurement locations
operating limits
meter reads
equipment & line steady state parameters
equipment & line connectivity
operating limits
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
equipment & line steady state parameters measurement
locations
Substation Engineering Design Toolsubstation
engineering design
21© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪1 - Data management architecture
▪2 - Improving GIS as a data source
EPRI GIS & Grid Model Data Management projectWhat? A comprehensive 3-pronged approach.
?
oh, here it is…
22© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪1 - Data management architecture
▪2 - Improving GIS as a data source
▪3 - Enabling data capture and use in the field
EPRI GIS & Grid Model Data Management projectWhat? A comprehensive 3-pronged approach.
23© 2017 Electric Power Research Institute, Inc. All rights reserved.
Year 2
Year 3
Year 1
GIS Cleanup Technologies
Exploration of GIS cleanup
technologies, population practices
Field Activity Enablement
Alternate solution
architectures & tools
Grid Model Data Management Architecture
Solution demonstrationData
exchange standards
development
Distribution Grid Model
Data Manager Requirements
Project Strategy
Utility deep-diveUtility deep-
diveUtility deep-diveUtility deep-
dive
Launch Meeting
Technology demonstration
Data management architecture development
Monthly Webcasts
Tech Transfer
▪30-month project, coordinated activities
EPRI GIS & Grid Model Data Management projectWhat? Considered.
We are here
24© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪To summarize
– A collaborative project
– Including utilities, vendors and consultants
– Taking a 3-pronged approach:
▪ Data management architecture
▪ Improving GIS as a data source
▪ Enabling data capture and use in the field
– Over the course of 30 months
▪That’s what the EPRI proposes to do to help the industry
improve its ability to manage network model data
EPRI GIS & Grid Model Data Management projectWhat?
25© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Why EPRI believes a project around network model data
management is so vitally important for the distribution world
today
▪What the EPRI project proposes to do to help the industry
improve its ability to manage network model data
▪How the EPRI project will approach the challenging work of
creating and industry data management architecture
EPRI GIS & Grid Model Data Management projectTopics
26© 2017 Electric Power Research Institute, Inc. All rights reserved.
Year 2
Year 3
Year 1
GIS Cleanup Technologies
Exploration of GIS cleanup
technologies, population practices
Field Activity Enablement
Alternate solution
architectures & tools
Grid Model Data Management Architecture
Solution demonstrationData
exchange standards
development
Distribution Grid Model
Data Manager Requirements
Project Strategy
Utility deep-diveUtility deep-
diveUtility deep-diveUtility deep-
dive
Launch Meeting
Technology demonstration
Data management architecture development
Monthly Webcasts
Tech Transfer
EPRI GIS & Grid Model Data Management projectHow?
Grid Model Data Management Architecture
Data exchange standards
development
Distribution Grid Model
Data Manager Requirements
Utility deep-diveUtility deep-
diveUtility deep-diveUtility deep-
dive
Data management architecture development
27© 2017 Electric Power Research Institute, Inc. All rights reserved.
EPRI GIS & Grid Model Data Management projectHow? An amazing & diverse project team.
Steph Amsbary, EPRI
Integration architect“TOGAF & Archimate
devotee”
Scott Coe, GridOptimize
Solution designer & implementer
“hammering square DERs into round
markets”
Robert Sarfi,Boreas Group
Solution designer & implementer
“distribution utility junkie”
Randy Rhodes, EPRI
Solution designer & implementer
“distribution application & tool expert”
Pat Brown, EPRI
Solution designer & data modeler
“irrepressible idealist”
Karen George, EPRI
Organizer, project manager & technical
writer “Smart Grid veteran”
John Simmins, EPRI
Integration manager & GIS pundit
“paradigm shifter”
Jay Britton, Britton Consulting
Software and integration designer“grandpa of network
analysis data modeling”
28© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Among us we have
– over 150 years experience designing or implementing integration
solutions
– degrees in electrical engineering, physics, linguistics, computer
engineering, ceramic science and architecture
– membership in all IEC CIM Common Information Model Working Groups
(WG13 – network models, WG14 – assets, meters, work, WG16 –
markets)
– been employed at 4 utilities and worked for 9 consulting firms
– a significant incidence of missing or greying hair
▪With bench depth from the EPRI Distribution Grid Ops &
Planning (P220) program
– Brian Deaver – Operations
– Jason Taylor – Planning
– Sean McGuinness - Protection
EPRI GIS & Grid Model Data Management projectHow? An amazing & diverse project team.
29© 2017 Electric Power Research Institute, Inc. All rights reserved.
EPRI GIS & Grid Model Data Management projectHow? Start with real-world understanding.
Grid Model Data Management Architecture
Data exchange standards
development
Distribution Grid Model
Data Manager Requirements
Utility deep-diveUtility deep-
diveUtility deep-diveUtility deep-
dive
Data management architecture development
▪Real-world grounding from
deep-dives
30© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Major two-way benefit
– Project gains broad reality-based understanding
– Utility gets solid start on its data management
work
EPRI GIS & Grid Model Data Management projectHow? Start with real-world understanding.
▪5 utilities
– Learn about existing practice
– Test drive the proposed data management architecture
– Provide strategic direction guidance to deep-dive utility
▪Real-world grounding from
deep-dives
31© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Grounded in real-world
understanding from deep-dives
▪Keeping the goal in mind
▪Define common, appropriately granular data exchanges
▪Standard data exchange definitions on which local
implementations can be based ->Not a local solution
▪Reduce, not eliminate, the ‘distance to integrate’
Application BApplication AShared
data
EPRI GIS & Grid Model Data Management projectData Architecture Approach
32© 2017 Electric Power Research Institute, Inc. All rights reserved.
GIS
Asset Mgmt
Load & Energy
Forecasting Group
Feeder Engineering Design Tool
MDMS
SCADA
Real-Time Historian
equipment & line connectivitymeasurement
locations
normal operating assumptions
(A)DMS
OMS
Planning Tool
Protection Tool
load forecasts
energy forecasts
historic measurements
real-time measurements
control setting targets operating limits
generation injections
generation injections
equipment & line connectivity
equipment & line steady state parameters
equipment & line short circuit
characteristics
equipment dynamic behavior
characteristics
asset nameplate data
line design (conductor & line
detail)
real-time measurements
monitored loads
measurement locations
operating limits
meter reads
equipment & line steady state parameters
equipment & line connectivity
operating limits
Protection CaseProtection
Case
Planning CasePlanning
CasePlanning Case
(A)DMS As-Built Case
OMS As-Built Case
equipment & line steady state parameters measurement
locations
Substation Engineering Design Toolsubstation
engineering design
EPRI GIS & Grid Model Data Management projectHow? Leverage the CIM’s data organization.
▪Real-world grounding from
deep-dives
▪Keeping the goal in mind
▪ Informed by the IEC CIM
33© 2017 Electric Power Research Institute, Inc. All rights reserved.
EPRI GIS & Grid Model Data Management projectHow? Capture insights from previous work.
Using the Common Information Model for Network Analysis Data Management: A CIM Primer Series Guide
(Product ID 3002002587)
No Cost to Public
Network Model Manager Technical Market Requirements: The Transmission Perspective
(Product ID 3002003053)
No Cost to Public
▪From▪Real-world grounding from
deep-dives
▪Keeping the goal in mind
▪ Informed by the IEC CIM
▪With insight from previous work
34© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Grounded in real-world
understanding from deep-dives
▪Keeping the goal in mind
▪ Informed by the IEC CIM
▪With insight from previous work
Identification of GIS Data Dependencies(Product ID 3002001042)
No Cost to Public
▪From
EPRI GIS & Grid Model Data Management projectData Architecture Approach
35© 2017 Electric Power Research Institute, Inc. All rights reserved.
EPRI GIS & Grid Model Data Management projectHow? Capture insights from previous work.
Modern Distribution Grid –Decision Guide Volume III
▪From
▪From DOE DSPx
▪Real-world grounding from
deep-dives
▪Keeping the goal in mind
▪ Informed by the IEC CIM
▪With insight from previous work
36© 2017 Electric Power Research Institute, Inc. All rights reserved.
EPRI GIS & Grid Model Data Management projectHow? Capture insights from previous work.
Grid Modernization Initiative –Grid Management System Architecture
▪From
▪From DOE DSPx
▪From SCE
▪Real-world grounding from
deep-dives
▪Keeping the goal in mind
▪ Informed by the IEC CIM
▪With insight from previous work
37© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Real-world grounding from
deep-dives
▪Keeping the goal in mind
▪ Informed by the IEC CIM
▪With insight from previous work
Summary of Electric Distribution System Analyses with a Focus on DERs
EPRI GIS & Grid Model Data Management projectHow? Capture insights from previous work.
▪From
▪From DOE DSPx
▪From SCE
▪From GMLC
38© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Real-world grounding from
deep-dives
▪Keeping the goal in mind
▪ Informed by the IEC CIM
▪With insight from previous work
EPRI GIS & Grid Model Data Management projectHow? Capture insights from previous work.
▪From
▪From DOE DSPx
▪From SCE
▪From GMLC
▪From the CIM Interface
Reference Model
39© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Real-world grounding from
deep-dives
▪Keeping the goal in mind
▪ Informed by the IEC CIM
▪With insight from previous work
▪Leverage enterprise architecture– for context
– for expression of design
EPRI GIS & Grid Model Data Management projectHow? Leverage enterprise architecture wisdom.
40© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Real-world grounding from
deep-dives
▪Keeping the goal in mind
▪ Informed by the IEC CIM
▪With insight from previous work
▪Leverage enterprise architecture– for context
– for expression of design
EPRI GIS & Grid Model Data Management projectHow? Leverage enterprise architecture wisdom.
41© 2017 Electric Power Research Institute, Inc. All rights reserved.
EPRI GIS & Grid Model Data Management projectHow? Leverage enterprise architecture wisdom.
▪Our project focus is herela
ye
rs o
f in
tero
pe
rab
ilit
ydegree of ‘concreteness’
42© 2017 Electric Power Research Institute, Inc. All rights reserved.
EPRI GIS & Grid Model Data Management projectHow? Leverage enterprise architecture wisdom.
▪Real-world grounding from
deep-dives
▪Keeping the goal in mind
▪ Informed by the IEC CIM
▪With insight from previous work
▪Leverage enterprise architecture– for context
– for expression of design
43© 2017 Electric Power Research Institute, Inc. All rights reserved.
EPRI GIS & Grid Model Data Management projectHow? Leverage enterprise architecture wisdom.
▪Design to be expressed in Archimate® (loosely)
Diagram credit:
Mastering ArchiMate Edition III.TCI,
© Gerben Wierda 2017
44© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Real-world grounding from
deep-dives
▪Keeping the goal in mind
▪ Informed by the IEC CIM
▪With insight from previous work
▪Leverage enterprise architecture – for context
– for expression of design
EPRI GIS & Grid Model Data Management projectHow?
45© 2017 Electric Power Research Institute, Inc. All rights reserved.
EPRI GIS & Grid Model Data Management projectHow?
Electric distribution industry grid model data architecture that enables
• vendors to implement reusable product interfaces and
• utilities to implement effective data management solutions
inte
rface
Application B
inte
rface
Application AShared
data
data exchange standard
product-based interface
▪Simple to describe
▪Hard to figure out how to get from here to there
46© 2017 Electric Power Research Institute, Inc. All rights reserved.
EPRI GIS & Grid Model Data Management projectHow?
inte
rface
Application B
inte
rface
Application C
Shared
data
interface
Application A
inte
rface
Shared
data
▪Complexity comes from
– Viewing interfaces in isolation
interface
47© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Complexity comes from
– Viewing interfaces in isolation
EPRI GIS & Grid Model Data Management projectHow? Use a semantic model solution approach.
inte
rface
Application B
inte
rface
Application C
interface
Application A
inte
rface
describes
Semantic Model
organization
of shared data
Shared
data
Shared
data
interface
EPRI GIS & Grid Model Data Management projectHow?
48© 2017 Electric Power Research Institute, Inc. All rights reserved.
Application B
Network
Analysis
Application B
▪Complexity comes from
– Viewing interfaces in isolation
– Vendor product overlap
EPRI GIS & Grid Model Data Management projectHow?
inte
rface
Application C
Application AShared
data
Shared
data
interface
Application Y
Application Z
Network model data
Network model data
Network
Model Data
Source A
Network
Analysis
Application C
49© 2017 Electric Power Research Institute, Inc. All rights reserved.
Network
Analysis
Application B
Network
Model Data
Source A
Network
Analysis
Application C
▪Complexity comes from
– Viewing interfaces in isolation
– Vendor product overlap
– Complexity & variety of network model data
EPRI GIS & Grid Model Data Management projectHow? Use a ‘building block’ design approach.
inte
rface
interface
Network model data
line detail OR electrical behavior?
load curves OR point history?
permanent grid changes OR temporary fixes?
EPRI GIS & Grid Model Data Management projectHow?
Network model data
50© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Talk in terms of business processes not applications
– For example, not CYME or Synergi, but Expansion Planning, Reliability
Planning or Interconnect Evaluation
▪Decompose business processes to the right level of
granularity, where
– They approach being universal
▪ Most utilities could assemble them to reflect how they use tools
▪ Most vendors could identify which processes their tools support
– They allow unambiguous identification of type of data being exchanged
▪Type of data can be mapped to CIM for further detail
EPRI GIS & Grid Model Data Management projectHow? Use a ‘building block’ design approach.
51© 2017 Electric Power Research Institute, Inc. All rights reserved.
Business Process
Business Process
Business Process
Business Process
Business Process
Business Process
Business Process
Business Process
Business Process
Business Process
Business Process
Business Process
Business Process
Business Object
Business Object
Business Object
EPRI GIS & Grid Model Data Management projectHow? Use a ‘building block’ design approach.
52© 2017 Electric Power Research Institute, Inc. All rights reserved.
Business Process
Business Process
Business Process
Business Process
Business Process
Business Process
Business Process
Business Process
Business Process
Business Process
Business Process
Business Process
Business Process
Business Object
Business Object
Business Object
EPRI GIS & Grid Model Data Management projectHow? Use a ‘building block’ design approach.
Application
53© 2017 Electric Power Research Institute, Inc. All rights reserved.
EPRI GIS & Grid Model Data Management projectHow?
▪Real-world grounding from
deep-dives
▪Keeping the goal in mind
▪ Informed by the IEC CIM
▪With insight from previous work
▪Leverage enterprise architecture – for context
– for expression of design
▪semantic model approach
▪business process
decomposition
54© 2017 Electric Power Research Institute, Inc. All rights reserved.
EPRI GIS & Grid Model Data Management projectHow?
▪Real-world grounding from
deep-dives
▪Keeping the goal in mind
▪ Informed by the IEC CIM
▪With insight from previous work
▪Leverage enterprise architecture – for context
– for expression of design
▪semantic model approach
▪business process
decomposition
▪Vetting by utilities and vendors
55© 2017 Electric Power Research Institute, Inc. All rights reserved.
EPRI GIS & Grid Model Data Management projectHow?
▪Real-world grounding from
deep-dives
▪Keeping the goal in mind
▪ Informed by the IEC CIM
▪With insight from previous work
▪Leverage enterprise architecture – for context
– for expression of design
▪semantic model approach
▪business process
decomposition
▪Vetting by utilities and vendors
▪Results into IEC CIM
IEC
Common
Information
Model
56© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪To summarize
– Real-world grounding from deep-dives
– Keeping the goal in mind
– Informed by the IEC CIM
– With insight from previous work
– Leverage enterprise architecture
▪ for context
▪ for expression of design
– semantic model approach
– business process decomposition
– Vetting by utilities and vendors
– Results into IEC CIM
▪That’s how the EPRI project will approach the challenging work
of creating an industry data management architecture
EPRI GIS & Grid Model Data Management projectWhat?
57© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Why EPRI believes a project around network model data
management is so vitally important for the distribution world
today
▪What the EPRI project proposes to do to help the industry
improve its ability to manage network model data
▪How the EPRI project will approach the challenging work of
creating an industry data management architecture that
enables
• vendors to implement reusable product interfaces and
• utilities to implement effective data management solutions
EPRI GIS & Grid Model Data Management projectSummary
58© 2017 Electric Power Research Institute, Inc. All rights reserved.
▪Extraordinarily valuable.
▪Entirely possible…
…if we work together.
EPRI GIS & Grid Model Data Management project
“It does not make sense that everybody should duplicate efforts when we could be
working together.”
Theresa May
“If you want to go fast, go alone.If you want to go far, go together.”
African proverb
“The power of one, if fearless and focused, is formidable, but
the power of many working together is better.”
Gloria Macapagal Arroyo
“Alone we can do so little;
together we can do so much.”
Helen Keller
“Growth is never by mere
chance; it is the result of forces
working together.”
James Cash Penney“None of us is as smart
as all of us.”
Ken Blanchard
59© 2017 Electric Power Research Institute, Inc. All rights reserved.
EPRI GIS & Grid Model Data Management project
▪Core team contact info
– Stephan Amsbary [email protected]
– Pat Brown [email protected]
– Jay Britton [email protected]
– Scott Coe [email protected]
– Karen George [email protected]
– Randy Rhodes [email protected]
– Robert Sarfi [email protected]
– John Simmins [email protected]
▪This sessions slides available at:
http://integratedgrid.com/distribution-gis-and-grid-model-data-management/
60© 2017 Electric Power Research Institute, Inc. All rights reserved.
Together…Shaping the Future of Electricity