Update on EPRI Network Model Management …smartgrid.epri.com/doc/2015-09-15 NMM ICT...

© 2015 Electric Power Research Institute, Inc. All rights reserved.

Pat Brown

EPRI

Eric Hatter

American Electric Power

ICT Informational Webcast

September 15, 2015

Update on

EPRI Network Model

Management

Activities

2© 2015 Electric Power Research Institute, Inc. All rights reserved.

Information & Communication Technology (ICT) Program

Enterprise Architecture & Integration (161E)

ICT for

Distribution (161C)

ICT for DER (161D)

Advanced

Metering

Systems(161F)

ICT for

Transmission (161B)

ICT Emerging Technologies & Tech Transfer (161A)

Primary Focus




ICT for

Distribution (161C)

ICT for DER (161D)

Advanced

Metering

Systems(161F)

ICT for

Transmission (161B)


Grid

Operations

(P39) & Grid

Planning

(P40)

Network Model Management




ICT for

Distribution (161C)

ICT for DER (161D)

Advanced

Metering

Systems(161F)

ICT for

Transmission (161B)


Grid

Operations

(P39) & Grid

Planning

(P40)

Distribution

Systems

(P180)





ICT for

Distribution (161C)

ICT for DER (161D)

Advanced

Metering

Systems(161F)

ICT for

Transmission (161B)


Grid

Operations

(P39) & Grid

Planning

(P40)

Distribution

Systems

(P180)



Who’s On the Webcast?

Organization– TSO?

– ISO?

– Distribution?

– Vendor or consultant?

Work Area– Operations?

– Planning?

– Protection?

– IT?

– Other?

Experience with CIM– Have deployed it?

– Am familiar with it?

– Could spell it?


Network Model Management3rd Information Sharing Webcast

1st Webcast - 2012

2nd Webcast - 2014


Network Model Management1st Information Sharing Webcast

- Create a foundation to enable future technology deployment

• CIM needs finalization in several areas

Setting the Stage

Coordinated



PNM

PhysicalNetwork Model Parts Repository

- Internal As-Built- External As-Built

- Internal plans- External plans

User Workspaces

User InterfaceModel Navigation & Edit

Inte

gra

tio

nSe

rvic

es

NMM

Network Model Manager

CM

Case Model Parts Repository

CIM

Analysis Applications /

SystemsObject Registry

Network Model Management2nd Information Sharing Webcast

NMM Functional Overview

Network Model Manager (NMM)

Functionality RequirementsMarket Protection

PlanningEMS


Value in defining NMM Tool Requirements



EPRI Projects and Products Recap

Network Model Background

1. Why Network Models Matter

2. Current Network Model Management Practice

3. Network Model Data Characteristics

The Common Information Model (CIM) Approach

– What the CIM Is

– How the CIM Helps with Network Model Data Management

AEP’s Network Model Management Improvement Program

What’s Next?









– What the CIM Is



What’s Next?


2013

2014

“Integrated Network Model Management” Supplemental – FE, AEP

“Network Model Manager and Repository:

A Guide to Exploring the Potential of Centralized Network Model Management” (Product ID 3002000609)

“Network Model Manager Requirements Overview” Supplemental

(Product ID 3002003053)

“Transmission Modernization Demo” Supplemental

Network Model Management Improvement at AEP

“CIM Primer Companion Guide for Network Analysis Data Management”

(Product ID 3002002587)

2015+

“Integrated Network Model Management” Supplemental - NYPA 2015

“Distribution Modernization Demo” Supplemental

Network Model Management Improvement at DTE

2013

2014





(Product ID 3002003053)




(Product ID 3002002587)

2015+

“Integrated Network Model Management” Supplemental - NYPA

Network Model ManagementEPRI Projects and Products

2015




2013

2014





(Product ID 3002003053)




(Product ID 3002002587)

2015+

“Integrated Network Model Management” Supplemental - NYPA 2015



2013

2014





(Product ID 3002003053)




(Product ID 3002002587)

2015+

“Integrated Network Model Management” Supplemental - NYPA

Network Model ManagementEPRI Projects and Products

2015











– What the CIM Is



What’s Next?


Network analysis models grid behavior

Steady state and sub-cycle

Transmission & Distribution

– Operations

Contingencies

Black start

Outages/switching

– Planning

Expansion

– Load growth

– Generator connects

– Protection

– Training Simulators

Network Model ManagementWhy Network Models Matter


Network analysis use is growing

Probabilistic studies

Synchrophasor data

Impacts of renewables

Photovoltaic hosting capacity

Volt/VAr optimization




1. Network model data is crucial enabler of the future grid vision

Augmented with geo-location and asset data

Huge potential for enterprise-wide data insight

– Storm preparation / damage assessment / restoration

– Operating condition visualization

– Asset health insight and proactive asset management

– Integration of distributed energy resources


Network Model ManagementCurrent Network Model Management Practice

Silos are both technical and organizational

EMS/Ops

Planning

Protection

Training

Simulator

Transient

Analysis

Expansion

Planning

. .

. .

. .

. .

. .

Every tool has its own users

and maintainers

Every tool requires its own network model, in its own format


Silos at multiple levels – TSO, ISO, Interconnect

TSOEMS

Protection

Planning

ISOPlanning

Market

TSOEMS

Protection

Planning

ISOEMS

Market

Interconnect

Planning




Silos cause:

– Duplicate effort

– Synchronization problems

– Consistency issues

– “Trapped” data

Energy invested in unproductive work

Errors go unrecognized


Network 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



TSO Footprint Enterprise Data Sourcesfor TSO Consumers

Construction Projects

Construction Package

Proposed Projects TSO Network Model

Consumer Applications

TSO PlanningPower Flow Application

External Footprint Data Sourcesfor TSO Consumers

ISO Planning Power FlowApplication

Case Assumptions

OperatingPhilosophies

Physical Network Model

xfmr serial number, factory test results

Equipment FactoryTesting

Circuit Limits Calculator

Trans Plan Model

Ratings(ratings for every circuit

component, includes relay settings that limit

ratings)(generic device rating/

limit information)

Circuit Limits(8 temperature-based

levels)

yearly non-coincident per transformer

peak load projections

yearly non-coincident per transformer

peak load projections

factory test results

rating information

reference

electronic transfer

electronic transfer

TSO EMS

EMS Model

equipment names, normal states, connectivity,

load & generation locations, transformer

tap data, telemetry

line impedances

generator location, generator steady-

state behavior characteristics

voltage schedules

non-SCADA load allocations

peak loads

reference

line & transformer circuit limits

.pdf of test results

Asset Procurement asset data

load injections

load scalingload scaling

Trans Plan Engin

Trans Plan Engin

Summer Peak

Base Case

planned equipment names, connectivity,

load & generation locations

line & transformer circuit limits

Trans Plan Model

Trans Plan Model

generator injections

Study DTSEnvironment Simulator

EMS Study Case

interchange schedules

external interchangeTrans Plan

ModelTrans Plan

Model

typical equipment limits

reference

typical equipment impedances

LimitsLimits

ControlControl

Load ConfigLoad Config

equipment name, connectivity

ManualEntry

Trans Plan Model

Trans Plan Model

tap settings

DTS Model

EMS cases are based on

configuration source data

UV and UF relay settings

Dynamics Case

generator dynamic behavior

characteristics

transformer impedances & taps

Relay Engineering

Trans P and CTrans

P and C

DTS Scenario

DTS scenarios are based on configuration source data

equipment names, normal states,

transformer tap data, connectivity,

load & generation locations

Asset Management

(existing assets, names, nameplate information,

including rating)

Asset Mgmt

Station Engin

Station Engin

occasional relaying info

script per case rating update

script per case rating update

Summer Peak

Base Case

ISO

Summer Peak

Base Case

Dynamics Case

Trans Plan Model

Trans Plan Model

Trans Plan Model

Trans Plan Model

reference

email with requested line & transformer

impedances

external network equipment names,

normal states, connectivity, impedances,

load locations & allocations

external network equipment names,

normal state, connectivity,

load locations, ICCP config

external generator locations, generator

steady-state behavior characteristics

external network line & transformer impedances

voltage schedules

generator location, operating characteristics

ISO

line & transformer impedances

ISO

internal (muni load) interchange

ISO

voltage schedules

ISO

ManualEntry

Trans P and CTrans

P and C

load & generation injection adjustments

PurchasingPurchasing

TSO Voltage Stability Analysis Tool

Summer Peak

Base Case

Summer Peak

Base Case

Trans Plan Model

Trans Plan Model

per case translationper case

translation

generator time constants

ManualEntry

EMS Support

EMS Support

external outagesoutages for initial

& day-ahead studies

external real-time measurement values /

states

external equipment/circuit ISO OS IDs

added/removed equipment IDs

NERC SDX(Eastern Interconnect

outages)

NERC

TSO Outage Scheduler

Outageable Equipment

Model

equipment names, in-service dates,

connectivity

station and asset information

ManualEntry

ICCPICCP

EMS Real-time Case

equipment name, normal state, connectivity, load

locations

Other Utility

internal TSO outages

internal TSO outages

outage request

outages for initial study

TSOPlanned

Field Work

FieldPersonnel

FieldPersonnel

outages for day-ahead study

internal TSO outagesNERC SDX

(Eastern interconnect outages)

NERC

outages for initial study

load & generation injection adjustments

system load

reference

Outage Scheduler(internal planned & actual

outages)

OS Support

Real-time Data Historian

(historic EMS point values)

EMS Support

historic point data used as needed to validate Planning case assumptions

Field Construction

Construction Planning

Design

Single line diagram(connectivity, equipment name,

line name, load location)Telemetry, control

Tap settingsRelaying diagram/schemes

Equipment list, conductor size

Design

Single line diagram(connectivity, equipment name,

line name, load location)Telemetry, control

Tap settingsRelaying diagram/schemes

Equipment list, conductor size

Station Engin

As-Built

revised Design Package

As-Built

revised Design Package

ISO .interconnection

projects

ISOtransmission

upgrades

TSOexpansion planning

Trans Plan Engin

Planned Project Database

(proposed/planned project information:

dates, costs, engineering details, drawings, status,

project manager)

line & transformer circuit impedances

reference

Protection Engineering Tool

Short Circuit(line & transformer impedance matrix,

generator impedances – includes topology)

Trans P and C

Relay (calculated internal relay

settings, record of external relay settings)

Line Constants(physical line

characteristics, topology)

detailed physical line characteristics

equipment, connectivity

equipment, connectivity

xfmrimpedances

relay settings

relay specifications/schemes,

CT/PT ratios

generator location, operating characteristics

for generators in operation / under

construction

ISO/Generator Owners

asset data

reference

xfmr nameplate

Station Engin

Station Engin

Trans Plan Model

Trans Plan Model

Load ForecastApplication

(system load forecasts)

Control Center

Trans Plan Model

Trans Plan Model

ManualEntry

EMS Support

EMS Support

ManualEntry

OS SupportOS Support

unplanned (actual) outage

TSO System Event

ControlCenter

ControlCenter

Load History Database

(monthly substation Distribution bus peak loads)

Distr Engin

yearly per operating company load projections

ISO

load dynamic behavior

characteristics

Trans Plan Model

Trans Plan Model

Trans Plan Model

Trans Plan Model

script per case update file


internal contingency list selection

Trans Plan Engin

Trans Plan Engin

internal contingency lists

Trans Plan Model

Trans Plan Model

Trans Plan Model

Trans Plan Model



ManualEntry

Trans Plan Model

Trans Plan Model

Contingency List

Contingency List

ManualEntry

Trans Plan Engin

Trans Plan Engin

Trans Ops Engin

Trans Ops Engin

ManualEntry

EMS Support

EMS Support

ManualEntry

Trans P and CTrans

P and C

Trans P and C

Transformer Impedance Database(transformer impedances)

reference

Trans Ops Engin

Trans Ops Engin

reference

contingency & monitored element

configuration

Trans Ops Engin

Trans Ops Engin

internal equipment/circuit ISO OS IDs

ISO Outage Scheduler

ISOadded/

removed equipment IDs

ManualEntry

Trans Ops Engin

Trans Ops Engin

ControlCenter

ControlCenter

Trans Ops Engin

Trans Ops Engin

ManualEntry

ControlCenter

ControlCenter

ManualEntry

Trans P and CTrans

P and C



load & generation locations, generator

steady-state behavior characteristics, line &

transformer circuit impedances, line & transformer limits, voltage schedules, load & generator

injections, interchange



load & generation locations, generator

steady-state behavior characteristics, line &

transformer circuit impedances, line & transformer limits, voltage schedules, load & generator

injections, interchange

load & generation dynamic behavior

characteristics

Key

ActorActor

process details

process details

process details

process details

ManualEntry

Actor assisting w/ information flow

Manual information flow

Partially automatedInformation flow

AutomatedInformation flow

TSO Data Owner

Application/ System/

Database Source

Non-TSO Data Owner

Application/ System/

Database Source

TSO PlanningPower Flow Application

Summer Peak Base Case

Trans Plan Model

ISO EMS

ISO

EMS Model

Run-Time EMS

one-line indicating

change

one-line indicating

change

ISO Outage Scheduler

Outageable Equipment

Model

ISO

Outages

ISO outages

OS SupportOS Support



SCADA / AGC

Network Analysis

PlanningDigital computers,

Newton & sparse matrix

PlanningFile systems,Text editors

PlanningDatabases,

scripting

1960s


Network analysis history – we grew our silos honestly…

Network Analysis landscape since 1960s


SCADA / AGC

Network Analysis

EMSState estimation,

Contingencyanalysis




PlanningDatabases,

scripting

1970s





ProtectionAspen, CAPE

SCADA / AGC

Network Analysis


Contingencyanalysis




PlanningDatabases,

scripting

1980s





MarketCongestion

management


SCADA / AGC

Network Analysis


Contingencyanalysis




PlanningDatabases,

scripting

1990s





MarketCongestion

management


SCADA / AGC

Network Analysis


Contingencyanalysis




PlanningDatabases,

scripting

2000s




2. Duplicate network model data

is maintained in disjoint silos


Network Model ManagementNetwork Model Data Characteristics

It’s big

It is used all at once– Simulations require a complete network model

It is composed of different types of data (with different change

characteristics)

– Physical network model

– Study case data (assumptions, topology, solution)

It comes from multiple sources– Inside a utility

– Outside a utility

Past and future matter (projects and history)

3. Network model data is complex


Network Model ManagementNetwork Model Data Management Challenge

1. Network model data is crucial enabler of the future grid vision

3. Network model data is complex

Network model data management

Important

Challenging

2. Duplicate network model data

is maintained in disjoint silos


CIM

IEC Common Information Model (CIM)

The viable strategy for meeting the network model management challenge

Network Model ManagementNetwork Model Data Management Challenge









– What the CIM Is



What’s Next?


Network Model ManagementCIM Is …

The IEC CIM is:

– Designed to support data exchange

– Based on “shared semantic model” philosophy

– The major electric industry semantic model for network model data

CIM


Network Model ManagementCIM Is Semantic Model Based

With silo’d applications, data sharing is the challenge


Organizational

Technical

Informational

8: Economic/Regulatory Policy

7: Business Objectives

6: Business Procedures

3: Syntactic Interoperability

5: Business Context

2: Network Interoperability

4: Semantic Understanding

1: Basic Connectivity

Interoperability Categories

Political and Economic Objectives as

Embodied in Policy and Regulation

Strategic and Tactical Objectives

Shared between Businesses

Alignment between Operational Business

Processes and Procedures

Awareness of the Business Knowledge

Related to a Specific Interaction

Understanding of the Concepts Contained

in the Message Data Structures

Understanding of Data Structure in

Messages Exchanged between Systems

Mechanism to Exchange Messages between

Multiple Systems across a Variety of Networks

Mechanism to Establish Physical

and Logical Connections between Systems

GridWise Architecture Council

Each interface has many layers


Business Processes

Hardware, Network,

Software

Infrastructure

Data and Its

Meaning


Organizational

Technical

Informational

8: Economic/Regulatory Policy

7: Business Objectives

6: Business Procedures

3: Syntactic Interoperability

5: Business Context

2: Network Interoperability

4: Semantic Understanding

1: Basic Connectivity

Interoperability Categories

Political and Economic Objectives as

Embodied in Policy and Regulation

Strategic and Tactical Objectives

Shared between Businesses

Alignment between Operational Business

Processes and Procedures

Awareness of the Business Knowledge

Related to a Specific Interaction

Understanding of the Concepts Contained

in the Message Data Structures

Understanding of Data Structure in

Messages Exchanged between Systems

Mechanism to Exchange Messages between

Multiple Systems across a Variety of Networks

Mechanism to Establish Physical

and Logical Connections between Systems

Business Processes

Data and Its

Meaning

Hardware, Network,

Software

Infrastructure

Data and Its

Meaning

GridWise Architecture Council

Semantic models focus on Data and Its Meaning



Data is organized and stored differently



Semantic model used as ‘model in the middle’

Logical, not physical

Expresses shared data, not all data



Each application translates once


Adaptor

Adaptor

Adaptor

Adaptor

Adaptor

Adaptor

AdaptorAdaptor

Semantic model based integration

THE approach for effective enterprise data sharing


Network Model ManagementCIM Is An Electric Utility Semantic Model

Industry has 2 semantic models:

– IEC Common Information Model (CIM)

– NRECA MultiSpeak

CIM is strong in modeling network analysis data

– Began as operational model in early 1990s (support EMS components

from different vendors)

– Became IEC Standard in mid-1990s

– Network model interoperability tests start in 2000 – 15+ to-date

– Planning (bus/branch) model added in 2008

– Dynamics (transient behavior) model added in 2013

– Projects, outage and contingency modeling are current topics

CIM


Network Model ManagementCIM Is …

The shared semantic model standard for network model data

CIM









– What the CIM Is



What’s Next?


Network Model ManagementCIM Supports Network Model Data Characteristics

It’s big -> yup, 1500+ classes

It is used all at once -> support for assembled cases– Simulations require a complete network model

It is composed of different types of data -> model part types– Physical network model


It comes from multiple sources -> model parts– Inside a utility


Past and future matter -> projects & versions




– Containment hierarchy

– Lines

– Equipment

– Field data

– Sub-cycle

dynamics behavior

– Power

analysis results

Support for breadth of

network analysis data


Steady-State

Hypothesis

(SSH)

Device Status

Initialization/Edit

Topology &

Network Solution

Algorithm

Energy

Forecasts &

Schedules

State Variables

(SV)

Energy Injection

Initialization/Edit

Control Setting

Initialization/Edit

Physical Model

Select / Edit

Monitoring

Initialization/Edit

Equipment

(EQ)

Outage

Schedules - Status

- Switch status

- In Service

- Branch end

- Tap positions

- Control settings

- Voltage regulation

- Flow regulation

- SIPS

- Monitoring

- Operating limits

- Other

- Energy Injections

- Bulk generation

- Solar

- Wind

- Storage

- Traditional Load

- DR

- etc,

Topology

(TP)

- TopologyNodes

- association to

conducting equipment

- Energized State

- Island Topology

- BusVoltage

- Bus Injections

- Terminal flows

- Controls

- Violations

CIM Standard

Datasets

in a

Network

Analysis Case

Physical Network Model Parts Repository

Diagram Layout (DL)

Dynamics (DY)

Geo Location (GL)

- Equipment

- Containment

- Connectivity

- Controls

- SIPS

- Equipment Rating

- Normal operations

- Energy allocation

Other

External

Sources

SSH Model Parts Repository

Measurement

Sources

Full Model

Parts

Incremental

Model Parts

Model Part Types:

· EQ

· SC

· OP

· DY

· DL

· GL

Full Model

Parts

Incremental

Model Parts

Short Circuit (SC)

Normal Operations (OP)


It is used all at once -> support for assembled cases

Steady-State Hypothesis

(SSH)

Topology & Network Solution

Algorithm

State Variables(SV)

Equipment (EQ)

- Status - Switch status - In Service - Branch end - Tap positions- Control settings - Voltage regulation - Flow regulation - SIPS- Monitoring - Operating limits - Other- Energy Injections - Bulk generation - Solar - Wind - Storage - Traditional Load - DR - etc.

Topology(TP)

- TopologyNodes- association to conducting equipment

- Energized State- Island Topology- BusVoltage- Bus Injections- Terminal flows- Controls- Violations

Anatomy of a Network

Analysis CaseDiagram Layout (DL)

Dynamics (DY)

Geographic Location (GL)

- Equipment- Containment- Connectivity- Controls- SIPS- Equipment Rating- Normal operations- Energy allocation

Short Circuit (SC)

(Normal) Operation (OP)

Power Flow Case


Steady-State

Hypothesis

(SSH)

Device Status

Initialization/Edit

Topology &

Network Solution

Algorithm

Energy

Forecasts &

Schedules

State Variables

(SV)

Energy Injection

Initialization/Edit

Control Setting

Initialization/Edit

Physical Model

Select / Edit

Monitoring

Initialization/Edit

Equipment

(EQ)

Outage

Schedules - Status

- Switch status

- In Service

- Branch end

- Tap positions

- Control settings


- Flow regulation

- SIPS

- Monitoring

- Operating limits

- Other

- Energy Injections

- Bulk generation

- Solar

- Wind

- Storage

- Traditional Load

- DR

- etc,

Topology

(TP)

- TopologyNodes

- association to


- Energized State

- Island Topology

- BusVoltage

- Bus Injections

- Terminal flows

- Controls

- Violations

CIM Standard

Datasets

in a

Network

Analysis Case


Diagram Layout (DL)

Dynamics (DY)

Geo Location (GL)

- Equipment

- Containment

- Connectivity

- Controls

- SIPS

- Equipment Rating

- Normal operations

- Energy allocation

Other

External

Sources


Measurement

Sources

Full Model

Parts

Incremental

Model Parts

Model Part Types:

· EQ

· SC

· OP

· DY

· DL

· GL

Full Model

Parts

Incremental

Model Parts

Short Circuit (SC)



It is composed of different types of data -> model part types

Steady-State Hypothesis

(SSH)

Topology & Network Solution

Algorithm

State Variables(SV)

Equipment (EQ)

- Status - Switch status - In Service - Branch end - Tap positions- Control settings - Voltage regulation - Flow regulation - SIPS- Monitoring - Operating limits - Other- Energy Injections - Bulk generation - Solar - Wind - Storage - Traditional Load - DR - etc.

Topology(TP)

- TopologyNodes- association to conducting equipment

- Energized State- Island Topology- BusVoltage- Bus Injections- Terminal flows- Controls- Violations

Anatomy of a Network

Analysis CaseDiagram Layout (DL)

Dynamics (DY)

Geographic Location (GL)

- Equipment- Containment- Connectivity- Controls- SIPS- Equipment Rating- Normal operations- Energy allocation

Short Circuit (SC)

(Normal) Operation (OP)

Power Flow Case

Physical Network Model

Power Flow Input Assumptions

Power Flow Outputs


Steady-State

Hypothesis

(SSH)

Device Status

Initialization/Edit

Topology &

Network Solution

Algorithm

Energy

Forecasts &

Schedules

State Variables

(SV)

Energy Injection

Initialization/Edit

Control Setting

Initialization/Edit

Physical Model

Select / Edit

Monitoring

Initialization/Edit

Equipment

(EQ)

Outage

Schedules - Status

- Switch status

- In Service

- Branch end

- Tap positions

- Control settings


- Flow regulation

- SIPS

- Monitoring

- Operating limits

- Other

- Energy Injections

- Bulk generation

- Solar

- Wind

- Storage

- Traditional Load

- DR

- etc,

Topology

(TP)

- TopologyNodes

- association to


- Energized State

- Island Topology

- BusVoltage

- Bus Injections

- Terminal flows

- Controls

- Violations

CIM Standard

Datasets

in a

Network

Analysis Case


Diagram Layout (DL)

Dynamics (DY)

Geo Location (GL)

- Equipment

- Containment

- Connectivity

- Controls

- SIPS

- Equipment Rating

- Normal operations

- Energy allocation

Other

External

Sources


Measurement

Sources

Full Model

Parts

Incremental

Model Parts

Model Part Types:

· EQ

· SC

· OP

· DY

· DL

· GL

Full Model

Parts

Incremental

Model Parts

Short Circuit (SC)



Anatomy of a network analysis case per IEC 61970



It comes from multiple sources -> model parts

TSO A

TSO B

TSO W

TSO X

o o

o

A B C D

E F G H

I J K L

M N O P

Q R S T

U V W X

Unified Grid Model

Study Type 1

Study Type 2

Study Type n

o o

o




Base Model

Jul 20, 2012

1:00 pm

Jul 20, 2012

2:00 pm

Sep 1, 2012

8:00 am

Sep 1, 2012

9:00 am

Sep 1, 2012

10:00 am

Sep 30, 2012

9:00 am

Nov 8, 2012

8:00 am

Diagram courtesy of ERCOT




It is used all at once -> support for assembled cases– Simulations require a complete network model

It is composed of different types of data -> model part types– Physical network model


It comes from multiple sources -> model parts – Inside a utility



CIM organizes complex network model data



Publicly Available Report

Available at www.epri.com

“Using CIM for Network Analysis Data Management”

(EPRI Product ID 3002002587)

http://www.epri.com/


Network Cases

EMSNetwork Model



Circuit Description

Transformer Data

Substation As-Built

Outage Studies


Planning Base Cases

Import/Export Cases

Generator data

Plans


Validation Cases

ProtectionModel/Cases

GIS

Outages

Network Model ManagementCIM Supports Network Model Data Exchange


Network Cases

EMSNetwork Model



Circuit Description

Transformer Data

Substation As-Built

Outage Studies



As-Built Internal

As-Built External

Plans Internal

Plans External

Planning Base Cases

Import/Export Cases

Generator data

CM

Plans


Validation Cases

PNM

ProtectionModel

GIS

Object Registry

Outages

Network Model ManagementCIM Supports Network Model Data Exchange

CIM supports network model data exchange

Cases and

Physical Network ModelsModel Parts and

Asset Source Data


Network Cases

EMSNetwork Model



Circuit Description

Transformer Data

Substation As-Built

Outage Studies



As-Built Internal

As-Built External

Plans Internal

Plans External

Planning Base Cases

Import/Export Cases

Generator data

CM

Plans


Validation Cases

PNM

ProtectionModel

GIS

Object Registry

Outages

Network Model ManagementCIM Supports Network Model Management

CIM supports true network model data management


Network Model ManagementCIM Supports Network Model Data Management

Publicly Available Report

Available at www.epri.com

“Network Model Manager Technical Market Requirements”

(EPRI Product ID 3002003053)

http://www.epri.com/


Network Model ManagementCIM Supports Network Model Data Management

Network Model Management Resources Handout

Download from webcast









– What the CIM Is



What’s Next?


A Utility PerspectiveEric Hatter


EMS/SCADA Application Support

[email protected]


AEP Ohio - 1.5 million cust

AEP Texas - 1 million cust

Appalachian Power - 1 million cust

Indiana Michigan Power - 580,000 cust

Kentucky Power - 170,000 cust

Public Service Co. of Oklahoma - 540,000 cust

Southwestern Electric Power Co. - 530,000 cust


Service Territory: More than 200,000 sq miles

Miles of transmission lines: More than 40,000 miles

Miles of distribution lines: Approximately 222,000 miles

Generating capacity: Approximately 38,000 MW

U.S. customers: Approximately 5.3 million

2013 U.S. electricity sales: Approximately 214 GWh


Distribution meter data….

Distributed generation….

Sub-station relay and sensor data….

Sub-station asset systems….

Line asset systems….

Planning models….

Operating models….

Outage scheduling models….

Synchrophasor time-series data

The Data


Types of data analytics include:

– Time of use retail rates

– Smart Meters/Appliances

– Distributed Generation

– Asset Health Systems

– System Dispatcher/Operator Situational Awareness

– Transmission Planning/Operations/Protection model

coordination

– Outage Scheduling Model Coordination

End Game – Data Analytics


Leverage the EPRI/Industry expertise in designing a

blueprint for an enterprise-wide network model

management solution.

Create a multi-year program that leverages internal

SMEs from IT, Transmission Planning, Protection,

Operations EMS, Engineering and Asset

Management, and IT.

NMM product procurement

Execution

AEP Network Model Improvement Program


Multi-year phased approach



Phase IDefine the full picture of the scope, strategy, resource needs, strategic and tactical plan for the Network Model Management program– Management Summary (Current State, Vision, Implementation, Tactical)

– Product Strategy (Unite survey, RFI, RFP)

– Program Documentation (Schedule, Budget, Risk, Communication)

Phase IIDefine the details of Tactical and Implementation plan, and select a vendor product to implement and integrate one application defined in the Application Portfolio– Technical Guidance Document (Gap Analysis, Tactical, Implementation)

– Product Strategy (Vendor Evaluation, Vendor Selection, Deployment)

– Program Documentation (Schedule, Change Management, Cost Benefit Analysis)



Phase I Deliverables








Business Scenario Overview











– What the CIM Is



What’s Next?


Network Model ManagementWhat’s Next?

DMD/TMD

– AEP Network Model Manager Improvement Program

– DTE Distribution Network Model Management

ARPA-E GRID DATA opportunity

Expand focus to include

Distribution

– Not as many network model silos

(…yet)

– GIS systems ‘marry’ geo-location

and asset data

– Support DER integration


Network Model ManagementDiscussion…..


Together…Shaping the Future of Electricity

Date post:	23-Jan-2020
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Update on EPRI Network Model Management …smartgrid.epri.com/doc/2015-09-15 NMM ICT...

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