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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

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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….

32© 2016 Electric Power Research Institute, Inc. All rights reserved.

Together…Shaping the Future of Electricity