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Page 1: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 1

Michel Gilles

Page 2: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 2

Smart Grid Overview – Drivers

Drivers Challenges

Reg

ulat

ory

& P

oliti

cal

Smart Consumptione.g. Smart Home

SmartGrid

Self-Healing

Elec

tric

al C

ar&

Sto

rage

Low Carbon SocietySecure & Renewable Energy

Competitive Energy PricesCustomer Choice

Quality of Service

Security of Delivery

Aging infrastructure and workforce

Smart Generatione.g. Distributed (Renewable) Energy

Page 3: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 3

Smart Grid Overview – Building Blocks

ResidentialIndustrial CommercialCommercial

Intelligent Meters

Building, Home, DER Management Systems

Residential

BatteriesSolar

Industrial

Wind

CommercialCommercial

Substation Control Models,Supervisory Control

Device Status, Analogs, Disturbance/Fault Indications

Feeder Device Status, Analogs, Disturbance/Fault Indications

Polling Req.Commands

Distributed Energy Resource Status, Settings, Change

Requests

Substation, Equipment, Connectivity Information

Load Models, Last Gasp,

Service “Pings”Energy/Demand Adjustments, Price Signals

Meter Status & Reads

Service On/OffPolling Req.

Asset Utilization, Loading History

Asset Management

GIS/AMS

SmartGridControl Center

Advanced DMSDEMS/DRMS MDMS/AMI

Smart Substation

Energy Balancing & Demand Response Consumer Access

Substation/Feeder Automation

DER

Controllable Equipment

Recloser Switch CapacitorBank

Market Systems Interface

MMS (Participant)

Customer Care ManagementCIS/CRMS

Pricing Options

Available Demand Capacity Customer

Status

Consumption

Availability, Response

Customer “connectivity”

Page 4: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 4

Smart Grid Overview – Priorities

US-Model Priority Drivers / Solutions

EU-Model Priority Drivers / Solutions

Peak Overload

Outage Response

+ Smart MetersDemand Response

+ MV AutomationRestorationVoltage Regulation

+ Advanced DMS

Distributed Generation Penetration

Quality of Service

+ LV AutomationLV IntegrationVoltage Regulation

+ Smart MetersLV Monitoring

+ Advanced DMS

Grid + Smart Grid Grid + Smart Grid

DG DG µG

DG

DG

Page 5: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 5

Advanced DMS - Definition

Source: Gartner

Switch Planning

Control & monitor the grid

Page 6: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 6

Smart Grid Overview – Values

Levers

AdvancedDMS

One User Interface, one Data Model Integrated network operation for increased service quality, reliability and safety Integration of SmartGrid components for increased SmartGrid benefits Advanced Meters and other Smart Sensors for increased observability & controllability Substation/Feeder Automation for optimized network reconfiguration (automation

scheme integration for improved corrective & preventive measure implementations) DGs for increased market benefits a/o network asset utilization/optimization

Multi-function monitoring to increase asset operational performance (maximum utilization) Real-time data integration & its transformation to information, i.e. intelligence DIA integration for increased collective intelligence Smart real-time network operation (real-time analysis, expert system, etc.) Increased outage work performance via crew’s operational data access/integration Increased field data integration for better operational decision process …

B

GIS Increased operational performance and analytical capabilities via geo-referencing Enable network data intelligence via SmartGrid expertise Own the model and the data, thus the network operational potential, …

A

Smart Distribution Grid Values

Smart Grid Integration

Smart integration towards increased data intelligence via SmartGrid expertise Enterprise & Operational integration to enable the full potential of SmartGrid Condition based Asset Management integration for improved asset utilization/maintenance

C

SCADA / CFE

OMS / MWFM

DFA/DNA

Page 7: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 7

Advanced DMS – Command Center

Back-Office Workforce mgmt.

Customerinfo sys.

Businessintelligence

Billing& EDM

Assetmgmt

DistributionManagement

Outage/Work Management

Mobile Workforce Management

User Interface(UI)

High Availability& Multisite

MainControl Center

MainControl Center

Information Network

(RTUs, ICCP, ...)

Information Network

(RTUs, ICCP, ...)

Information Network

(RTUs, ICCP, ...)

Information Network

(RTUs, ICCP, ...)

Information Network

(RTUs, ICCP, ...)

Information Network

(RTUs, ICCP, ...)

RegionalControl Center

RegionalControl Center

RegionalControl Center

RegionalControl Center

RegionalControl Center

RegionalControl Center

SOA* Integration

Base System

Enterprise Service Bus

AdapterService

Adapter Adapter Adapter Adapter

SCADA IMMHISTNAFA

Service

Service

Service

Service

Service

Service

Service

Service

Service

Service

Service

Service

Service

Service

Geographical Information

System

CustomerRelationship Management

EnterpriseResourcePlanningAdapter

Easy to integrate into enterprise ITbased on Enterprise Service Bus

AdapterAdapter

Online Data Model (GIS)

FA (FLOC/FISR)& DNA (DSSE, etc.)

Communication Front-Ends

Subs t6

Subs t50

Subst19

Subst 35

Subst 12

Subst 25

Subst 17

Subst43Subst 15

Subst36

Subst75

Subs t51Subst 33

Subst68

Subst52

Subs t30

Subst7

Subst40

Subst18

Subst 4

Subst63

Subs t26

Subst58

Subst45

Subs t28

Subst 11

Subst73

Subs t23

Subst69

Subs t37

Subs t20

Subs t22

Subs t2

Subst 32

Subst42

Subst65

Subst16

Subs t47

Subst 72

Subst1

Subst5

Subs t61

Subst53

Subst21

Subs t70

Subs t74

Subs t64

Subst44

Subst55

Subs t57Subst 8

Subst 59

Subst62

Subs t60

Subst24

Subst31

Subs t3

Subs t66

Subst77

Subst29

Subs t14

Subst34

Subs t41

Subst13

Subst54

Subst39

Subs t56

Subst27

Subst9

Subs t49

Subs t38

ab

CB

OFI,EFI

OFI,EFI

bcOFI,EFI

a

CurrRel CurrRel

13.8

CurrRel

c

P, Q,I

OFI,EFI

110

OFI,EFI

US-D2

ab

OFI,EFI

F1

Rem LBSs

OFI,EFI

b

bc

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OFI,EFI

abc (balanced load)

b

OFI,EFI,IFI

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OFI,EFI

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ab

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F5

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CurrRel

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Rem LBSs

P, Q,I

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US MV DNA

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CurrRel

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(balanced

OFI,EFI

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b

Rem CBs

LVR

CB

EU MV DNA

load)

F2

OFI,EFI

OFI,EFI

US-S2

b

24.9

CB

F2

IEEE4

ab

LVR

CB

b

OFI,EFI

bc

OFI,EFI

a

RR

OFI,EFI

OFI,EFI

b

LVR

13.8c

OFI,EFI

b

ab

F1

OFI,EFI

a

OFI,EFI

OFI,EFI

bc

OFI,EFI

CB

OFI,EFI

OFI,EFIb

b

24.9

110

b

Rem LBSs

CurrRel

OFI,EFI

b

GIS Feeder 9

IEEE13

OFI,EFI,IFI

CB

b

R

OFI,EFI,IFI

Rem C Bs

F3

ac

P,Q,I

b

13.8

OYg/od

OFI,EFI

a

OFI,EFI

OFI,EFI

OFI,EFI

CurrRel

a

c

F6

c

OFI,EFI

OFI,EFI

OFI,EFI

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IEEE34

R

OFI,EFI

P, Q,I

CurrRel

R

OFI,EFI

b

OFI,EFI

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OFI,EFI,IFI

OFI,EFI

ac

CurrRel

ab

LVR

OFI,EFI,IFI

abc

24.9

OFI,EFI

ac

a

P, Q,I

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OFI,EFI

LVR

US-S1

c

bc

ab

c

R

bc

a

R

bc

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R

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CB

OFI,EFI,IFI F3

OFI,EFI

b

CurrRel

ab

ac

Yg/d

a

CB

a

TNA

US-D1

TR95

TR54

TR79

TR164

TR320

0%

TR97

P=0. 000Q=0.000I=0 .00%

TR209

P=0. 000Q=0.000I=0 .00%

TR285

TR217

TR228

0%

TR78

88%

TR286

TR205

0%

TR299

TR244

TR88

TR71

0%

25 kVA

TR332

TR45

TR283

0%

TR189

50 kVA

TR305

TR4

TR297

0%

TR28

50 kVA

75 kVA

0%

50 kVA

TR256

TR176

TR227

TR70

TR13

TR16

TR314

TR24

TR261

0%

TR90

0%

TR192

TR216

50 kVA

TR307

TR30

TR53

TR177 82%

0%

TR254

0%

TR21

TR163

P=0.000Q=0. 000I=0.00%

TR223

0%

TR652587%

TR331

TR52

0%

TR214

TR43

TR2020%

0%

TR99

0%

TR83

TR354

128%

TR304

TR58

TR132

TR14

0%

TR201

75 kVA

TR230

TR317

Gen1

Gen2

Load204

Load117

Load195

Load81

Load84

Load218

Load175

Load144

Load213

Load234

Load183

Load179

Load160

Load170

Load133

Load228

Load222

Load132

Load224

Load210

Load2

Load104

Load29

Load146

Load110

Load242

Load13

Load236

Load169

Load91

Load67

Load172

Load211 Load223

Load113

Load188

Load207

Load221

Load239

Load208

Load136

Load201

Load76

Load68

Load124

Load226

Load55

Load145

Load166

Load90

Load190

Load3

Load209Load174

Load233

Load64

Load192

Load164

Load16

Load191

Load139

Load200

Load154

Load184

Load131

Load20

Load193

Load130

Load48Load167

Load214

Load69

Load66

Load203

Load9

Load187

Load47

Load227

Load161

Load156

Load74

Load116

Load140

Load216

Load119

Load5

Load198

Load238

Load134

Load14

Load197

Load8

Load237

Load178

Load28

Load205

Load40

Load173

Load229

Load56Load181

Load32

Load15

Load121

Load77Load138

Load155

Load182 Load199

Load159

Load230

Load58

Load62

Load26

Load225

Load43

Load196

Load168

Load21Load1

Load186

Load180

Load212

Load206

Load73

Load11

Load157

Load100

Load80

Load45

Load52

Load60

Load42

Load126

Load142

Load185

Load82

Load220

Load165

Load44

Load30

Load97

Load171

Load215

Load217

Load177

Load27

Load202

Load194

Load101

Load241

Qc=0.000Ic=0 .0

Qc=0.000Ic=0 .0

Qc=2.000Ic=83.7

Qc =0.000Ic=0.0

Qc=0.150Ic =3. 5

Qc=2.000Ic =83.7

Qc =0.100Ic=2.3

Qc =0.000Ic=0.0

Qc=2.000Ic =83.7

Bus 836

Bus31

Bus406

Bus279

Bus720

Bus 171

Bus322

Bus 591

Bus716

Bus 284

Bus585

Bus201

Bus 755

Bus444

Bus134

Bus51

Bus581

Bus596

Bus332

Bus629

Bus182

Bus 775

Bus588

Bus296

Bus 385

Bus454

Bus62

Bus626

Bus674

Bus 29

Bus820

Bus263

Bus 513

Bus568

Bus 180V=13.8/-7. 5°

Bus177

Bus 1

Bus 61

Bus85

Bus540

Bus 816

Bus41

Bus 365

Bus351

Bus78

Bus123

Bus734

Bus564

Bus15

Bus619

Bus477

Bus 459

Bus567

Bus47

Bus851

Bus94

Bus 211

Bus349

Bus67

Bus328

Bus791

Bus255

Bus 768

V=24. 9/-0.1°

Bus 774V=0.22/-7. 7°

Bus 288

Bus1038

Bus379

Bus 283

Bus492

Bus 857

Bus 472

Bus 314V=24. 9/0 .0°

Bus 210

Bus 693

Bus218

Bus 215

Bus 650

Bus688

Bus 122

Bus 559

Bus 617

Bus299

Bus 128

Bus248

Bus 282

Bus 309Bus 704

Bus757

Bus 219

Bus116

Bus 1072

Bus 427

Bus 717

Bus 438

Bus132

Bus 276

Bus336

Bus389

Bus 666V=13.8/-7. 4°

Bus671

Bus42

Bus 772V=13.8/-7. 9°

Bus850

Bus762

Bus198

Bus 225

Bus549

Bus855

Bus849

Bus576

Bus 799

Bus475

V =110.0 /0. 0°Pi=0. 522Qi=0.522

Bus258

Bus846

Net 872

V=110.0 /0.0°

Pi=16 .344Qi=16. 344

Bus 536

Bus 727

Bus830

Bus814

Bus 597

Bus544

Bus233

Bus655

Bus 101

Bus 371

Bus380

Bus483

Bus 681

Bus806

Bus 157

Bus423

Bus 869

Bus447

Bus 232

Bus1035

Bus678

Bus 656Bus 345

Bus273

Bus235

Bus534

Bus220

Bus 800V=13.8/-7. 5°

Bus390

Bus242

Bus 264

Bus 257

Bus788

Bus 882

Bus245

Bus 680

Bus 679

Bus194

Bus 275Bus224

Bus527

Bus378

Bus 771

Bus 781

Bus341

Bus 53

Bus208

Bus183

Bus 231

Bus779

Bus 509

Bus 113

Bus140

Bus 28

Bus239

Bus769

Bus 148

Bus703

Bus868

Bus641

Net873

Pi=13 .870Qi=13 .870

Bus119Bus95

Bus 151

V=24. 9/0 .0°

Bus350

Bus 557

Bus621

Bus 803

Bus 340

Bus4

Bus18

Bus 861

Bus560

Bus428

Bus563

Bus756

Bus411

Bus 432

Bus 696

Bus871

Bus 531

Bus287

Bus 144

Bus858

Bus 712

Bus 741

Bus818

Bus709

Bus289

Bus 12Bus39

Bus690Bus221

Bus773

Bus 605

Bus142

Bus50

Bus 120

Bus 633

Bus 598

Bus545

Bus 589

Bus 249

Bus 721

Bus867

Bus57

Bus610

Bus 410

Bus326

Bus 1073

Bus243

Bus 298

Bus 821 Bus780

Bus 742

Bus 643V=0.22/-7. 6°

Bus 247V=0.22/-7. 6°

Bus 668

Bus 505

Bus606

Bus300

Bus244

Bus508

Bus64

Bus657

Bus430

Bus 262

Bus260

Bus503

Bus 580

Bus 880

Bus164

Bus 739

Bus81

Bus66

Bus866

Bus 170

Bus301

Bus 746

Bus356

Bus 646

Bus543

Bus317

Bus622

Bus193

Bus778

Bus 65

Bus 538

Bus632

Bus 419

Bus110

Bus 752

Bus460

Bus813

Bus524

Bus72

Bus902

Bus 400

Bus391

GIS

StorageStorage

RemoveRemove

CreateCreate

ArchiveArchive

ExecuteExecute

ApproveApprove

CheckCheck

Suspend /Resume

Suspend /Resume

StartStart StorageStorage

RemoveRemove

CreateCreate

ArchiveArchive

ExecuteExecute

ApproveApprove

CheckCheck

Suspend /Resume

Suspend /Resume

StartStart

App

licat

ions

(*) Web Services & CIM + Enterprise Service Bus

OM

S P

latfo

rm

Page 8: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 8

Advanced DMS – Command Center

Mapping Data (GIS)

DATABASE

Smart Meters

CIS/IVR

Distribution Network Analysis

All functions in one UI !!!

SCADA

Page 9: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 9

Advanced DMS - Intelligent Grid Management

Advanced Distribution Management

Analyze and Optimize

Engineering Analysis and Grid

Optimization

Fault Location

Optimal Volt/Var Control

Distribution Load Flow

Optimal Feeder Reconfigur.

Fault Isol. & Service Restor.

Distribution State Estimator

Operate and Monitor Distribution SCADA

Data Acquisition

Real Time Data Processing

Network Management

Alarming

Marking & Tagging

Control Device Operations

Track and Restore

Outage Management

and Mobile Workforce

Management

Analysis and Prediction

Intelligent Alarming

Monitoring & Control

Web Portal Reporting

Tracing, Tagging, etc.

Switch Planning, Simulation

Mobile Workforce Mgmt Optimal Scheduling

Page 10: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 10

Advanced DMS - Core

Advanced DMS integrates the 2 core distribution management functions: Outage Management and Distribution SCADAOutage ManagementOutage Management System (OMS)• Capture and grouping of customer calls and

smart meter last gaps• Trouble analysis, predicting problem location• SCADA device monitoring and control• Network energization, tracing, tagging• Advanced Switch PlanningMobile Workforce Management (MWM)• Dispatch of field resources, by location, skills • Mobile field crew status reporting resolution

Distribution SCADACommunication Front End (CFE)• Capture/send all digitals and analogs from/to field

RTU and IEDs to/from SCADADistribution SCADA (D-SCADA)• Monitor all field data (value & quality)• Alarm all abnormal conditions (limits, normal, etc.)• Support remote control, interlock functions, etc.• Support network coloring, tracing• Switch planning

Workforce Mgt. / Asset Mgt. Recording customer outage

calls in tickets Scheduling work related to

expansion and/or maintenance

Event collection Plan and track necessary

steps for fault isolation and optimal service restoration (switching procedures,on-site jobs)

Schedule a work order if necessary

Validate service restoration and repairs (AMI polling)

Update outage information

Documentation of time stamps, equipment, status changes, activities, affected customers per event in outage record

Calculation of required KPIs such as CML, SAIFI, CAIDI

Post-mortem analysis of unplanned outages

Information - such as status changes from SCADA, meter status changes from AMI, tickets from call taking and/or maintenance jobs from ERP - is clustered

Generate, i.e. infer, event based on clustered information

Provide outage information

Event prioritization Crew Assignment ( CM) Fault localization (w/

remote switching, crew, boundary meter polling, …)

Determination of likely cause (equipment) and affected customers

Check for workarounds Update outage information

Event analysis Event processing Reporting

Trouble Call

Outage Management

Out-of-Service meters indications Operator polling requests

Smart Meter SCADA Switching events Fault Indicator events

Workforce Mgt. / Asset Mgt. Recording customer outage

calls in tickets Scheduling work related to

expansion and/or maintenance

Event collection Plan and track necessary

steps for fault isolation and optimal service restoration (switching procedures,on-site jobs)

Schedule a work order if necessary

Validate service restoration and repairs (AMI polling)

Update outage information

Documentation of time stamps, equipment, status changes, activities, affected customers per event in outage record

Calculation of required KPIs such as CML, SAIFI, CAIDI

Post-mortem analysis of unplanned outages

Information - such as status changes from SCADA, meter status changes from AMI, tickets from call taking and/or maintenance jobs from ERP - is clustered

Generate, i.e. infer, event based on clustered information

Provide outage information

Event prioritization Crew Assignment ( CM) Fault localization (w/

remote switching, crew, boundary meter polling, …)

Determination of likely cause (equipment) and affected customers

Check for workarounds Update outage information

Event analysis Event processing Reporting

Trouble Call

Outage Management

Out-of-Service meters indications Operator polling requests

Smart Meter SCADA Switching events Fault Indicator events

Page 11: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 11

Advanced DMS - Analytics

Advanced DMS integrates 2 core Distribution Analytics: Distribution Fault Analysis and Distribution Network AnalysisDistribution Grid HealingA Fault Analysis (DFA) application suite is

improving beyond Distribution Automation Fault location, Fault isolation, and Service restoration

towards reducing crew travel time and minimizing customer interruption time. Results can be implemented automatically -------

under some predefined secure conditions.

Distribution Grid OptimizationA Network Analysis (DNA) application suite is

providing optimal grid settings (reactive controllers and NO switches) towardsEnforcing operational limit constraints Improving voltage profiles & minimizing

network lossesThe same DNA suite is also providing preventive

analysis tools of planned actions and/or eventsResults can be implemented automatically -------

under some predefined secure conditions.

Reduction of network losses

Improved Quality of Service

Increased security/regulation margins

1100 customers out

300 customers out

optimized

existing

Page 12: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 12

Advanced DMS - Integrated Solution

Value: Reduce Overall Maintenance Costs Improve Critical Infrastructure

Protection Enhance Equipment Utilization

Capabilities Reduce Fault Location Times Dramatically Improve Reliability Optimize Work Scheduling and

Resources

Advanced Distribution Management System

OperatingData Model

Customer Calls Meter Service Disconnects Load Model Updates

Customer Care Systems

Model Build& Maintenance Process

CustomerInformation

System

GeographicInformation

System

Equipment & Connectivity Information

CIS/IVR CustomerPortal

OMS

D-SCADA

Content Summary: Integrated ADMS Solution

(OMS, Mobile, SCADA, Analytics) Consolidated User Environment Integrated/Automated Operating

Model Build & Maintain Adaptable Business Solution ‘Smart Grid’ Ready

Meter DataManagement

SystemAMI

Real-Time Status, & Analogs

Real-Time Control Systems

IntelligentSubst. & Feeder

AutomationHV EMS

Activity Audit TrailAsset Health IndicatorsReliability Statistics, Maintenance Requests/Orders

Enterprise Integration

Historical StoragePlanning

Applications

Maintenance & Work

Resource Optimization

Business Intelligence

Common User Interface

Service Verification, Customer Restore

Commands,Settings

Asset Performance

Mgmt. System

FISR& DNA

MWM

DistributionField

Devices

Page 13: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 13

Customer Systems

• InService as a fully flexible and robust Outage, Distribution and Mobile Workforce Management Solution

• Distribution Fault and Network analytics

• For example, InService is deployed in this model at Oncor, KCPL and Enersource

WMS

Enterprise Service Bus

I/Tracker

AVL CIS

I/Call & I/Work

Mobile Client

AMI/MDM

I/AMI I/SCADA

OMS Dispatcher / NetDispatcher

InService Internal Packet Network

InService Internal Packet Network

DNA

I/MobileTC

Reporting

OMS Portal DNA

ICCP

D-SCADA

I/MDT, Portal

Enterprise Service Bus

DNA Bridge

Advanced DMS - Integration

Edge Frontier

Edge Frontier

Outage Management Mobile Workforce Management Distribution Management

Page 14: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 14

Customer Systems

• InService as a fully flexible and robust Outage, Distribution and Mobile Workforce Management Solution

• Distribution Fault and Network analytics

• For example, InService is deployed in this model at Oncor, KCPL and Enersource

WMS

Enterprise Service Bus

I/Tracker

AVL CIS

I/Call & I/Work

Mobile Client

AMI/MDM

I/AMI I/SCADA

Outage Management Workforce Management

OMS Dispatcher / NetDispatcher / MWM Workbench

InService Internal Packet Network

InService Internal Packet Network

DNA

I/MobileTC

Reporting

OMS Portal DNA

ICCP

D-SCADA

I/MDT, Portal I/Informer

Enterprise Service Bus

DNA Bridge

Distribution Management

Scheduling Engine

I/MWM DS

Appointment Booking

I/MWM AB

MWM Appt Booking

Advanced DMS - Integration

MWM Opt. Scheduling

Edge Frontier

Edge Frontier

Page 15: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 15

Advanced DMS - Integration

Advanced DMS integration to be based on 3 core international standards: Service Oriented Architecture, IEC 61968 (CIM) and IEC 60870-6 (ICCP)Enterprise Integration - Service Oriented Architecture + CIMIntegration of Advanced Distribution Management (Front Office) with Enterprise Resource Optimization (Back Office) is to be implemented using a Service Oriented Architecture, i.e. based on Web Services, CIM (IEC 61968) and a middleware (Enterprise Service Bus), for maximum flexibility and reliability.

Intergraph proposes the use of its own middlleware,Edge Frontier, in the absence of a corporate ESB.

Benefits of a Service Oriented Architecture

Less cost & less risk with modernization of components and integration of new components Vendor-independence More freedom to choose Gradual approach to modernization by introducing new fully SOA based applications and

service-enabling existing legacy applications one-by-one Legacy applications may be changed out at a later date more simply because they will

have standard interfaces

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September 30, 2013 Slide 16

Advanced DMS - Integration

WAN

Field Devices

Distribution SCADA

Internal Data Services

ICCPSCADA CFE

Enterprise Service Bus (Shared Architecture Services)

CRM/CIS IVR

MDMAMI

Smart Metering

Internal Data Services

FLOC&

FISR

RealTimeDNA

(DSSE)

StudyDNA

(DSPF)

Fault & Network AnalyticsWAN

Field Devices

Distribution SCADA

Internal Data Services

ICCPSCADA CFE

WorkMgmt

AssetMgmt

Mobile Workforce

Mgmt

Asset Management

ICCP

FinancialsHR

Commercial

Business

ICCP

SCADA

HV EMS/SCADA

CFE

Internal Data Services

WAN

Field Devices

ICCP

SCADA

HV EMS/SCADA

CFE

Internal Data Services

WAN

Field DevicesField Force

Automation

Design&

Document

GIS

Internal Data Services

I/MDM I/SCADAI/Call I/DNA

OMS

Internal Data Services

Field ForceAuto.

Dispatch

Big DataMgmt

BusinessProcessMgmt

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September 30, 2013 Slide 17

Advanced DMS – Integration w/ Edge Frontier

Lightweight service (<30MB) that runs on Windows OS machines

Remotely configurable via a Client application

Robust data integration platform with a built-in policy engine

Point-and-click, graphical interface development environment

Built-in “live-data watcher” windows

Used to create and manage “Systems” (aka EdgeFrontier applications)

The “Swiss Army Knife” for interface development and systems integration

Page 18: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 18

Advanced Analytics

Page 19: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 19

Distribution Network Analysis

Distribution System State Estimator (DSSE)– Calculations are based on attributes from GIS and real time measurements from

SCADA with scaling factors

Distribution System Power Flow (DSPF) – Calculation of power through all elements in a subsystem based on attributes from

GIS with no SCADA measurements or scaling factors

Fault Location– Determine most probable location of electrical faults in the distribution network,

evaluating real-time data received from smart devices

Fault Isolation and Service Restoration– Defines switching actions that enable the operator to efficiently isolate faulted areas

of the network and restore service to customers on un-faulted feeder sections

Volt/Var Control – Provides recommendations to control LTC transformers, line voltage regulators and

capacitors to keep distribution network equipment loading and voltage within defined limits.

Page 20: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 20

Distribution System State Estimator

Distribution System State Estimator (DSSE) is the calculation of power through all elements in a subsystem

Calculations are based off attributes gathered from GIS/CIS and real time measurements provided through SCADA equipment– All measurements provided at the time DSSE is executed are used

which included the scaling factors defined in the configuration– Based on an optimization process to minimize the deviation

between measured and calculated values, taking measurements, load curves and nominal loads as weighted info into account

DSSE in essence is a “glorified” Power Flow– If DSSE is unable to solve the solution, the program will then

attempt to run a Power Flow instead DSSE can be ran manually, through event triggers, or periodic triggers Results are input data for the real-time power flow analysis

Page 21: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 21

Distribution System Power Flow

Distribution System Power Flow (DSPF) is the calculation of power through all elements in a subsystem– A subsystem is defined as a point of injection, or the injection

source that connects the transmission line through the substation transformer.

Calculations are based purely on attributes gathered from GIS/CIS No measurements or scaling are used in the calculations Real time and study mode Initiated by topology change, periodically, manually or measurement

change Output includes information such as

– Busbar kV, voltage imbalances, line & xfmr P & Q (from & to nodes), line losses (kW/kVAr), voltage drop, resulting P & Q loads, violations (voltages & overloads), total power losses, etc

Page 22: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 22

Fault Location

Details– On feeder CB’s/switches unexpected

tripping

– For fast localization of faulted section

– Designed to determine the smallest possible faulted section based on available real-time info to restore power to as many customers as possible

Uses remote metered and manually updated information

– Protective devices’ tripping

– Status of fault indicators, earth fault relays

– Trouble calls

Triggers– If a circuit fault happens in the

network, InService and FLOC detect the outage and create an outage record and a fault record, respectively. .

– FLOC will query InService for outage records for faulted equipment and be linked to the fault record just created

– FLOC will also relay its fault records to InService which will be stored and be available for users.

Results– Tabular and graphical in the map

display

Page 23: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 23

Fault Location User Interface

Page 24: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 24

Fault Isolation and Service Restoration (FISR)

Once the faulty segment has been identified:

– Finds out how to isolate the faulty segment

– Finds out how to restore power to all related non-faulty segments

– Minimizes the outage time for the affected customers

– Establishes the series of required switching operations

– Useful also when network is not in faulty condition (e.g. equipment isolation for planned maintenance)

Uses the topological model of the network to generate the required switching procedures

Fault Isolation– Equipment to isolate selected by

operator or from FLOC results– Minimize number of switching steps

Service Restoration– Provides possible ways to restore

service and corresponding steps– Feasibility validation & solutions’

ranked based on performance indexes

Isolation & Immediate Restoration– Combines the two above features– Generates single switch plan

Restore to Normal– Generates switching procedure to

restore given network back to normal

Page 25: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 25

FISR User Interface

Page 26: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 26

Volt VAr Control

Important function for dealing with the complexity of voltages’ and reactive powers’ control

Receives the base case Power Flow solution with active and reactive power values based on DSSE and SCADA data

Processes devices that are– Telemetered, remotely controlled, time and voltage controlled

Controls– LTC transformer taps, Voltage regulators, switchable shunt capacitors

Switching Sequence– User identifies network to be optimized, requests DNA generate the switching steps

to optimize the capacitors– Optimization can be reviewed and optionally executed by switching procedure

manager Summary Results

– Control improvements, max/min voltages, violations, objective function values, before and after execution

Page 27: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 27

Volt VAr Control

Dialog– Provides a list of all VVC Results and their state that have been

created in the system– Provides switching steps for a particular VVC Result– Provides values for a particular VVC Result– Ability to Perform VVC Analysis via Perform VVC Analysis dialog– Ability to convert VVC Results to InService Switch Plan

Available triggers:– “Open loop” mode:

On user demand, periodic execution, status change or under/over voltage event.

– “Closed loop” mode: Status change or under/over voltage event

Page 28: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 28

Volt VAr Control User Interface

Page 29: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 29

Capacitor Operation and Control

Maintain operation count for capacitor banks Send heartbeat signals to ensure capacitors are under remote

control Confirm operation of all two way capacitor banks Automatically test operations on capacitors Manually test and confirm operations Determine if the voltage values exceed limits Prevent cap operation if voltage is high Display capacitor bank status on map Increment the operational counts Alarm if Voltage Limits are exceeded

Page 30: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 30

Capacitor Operation and Control

Page 31: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 31

References

Page 32: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 32

Driving the Smart Grid:

Project highlights

Project architecture

Scope:• 2 Regional Control Centers,

each capable of covering all regions• OMS/MWM• Distribution SCADA (D-SCADA)Architecture:• OMS & DNA: Windows based system• D-SCADA: Unix based systemGIS (Intergraph):• Framme GISD-SCADA (Siemens):• Spectrum Distribution SCADAOMS/MWM (Intergraph):• InService Outage Management• InService Mobile Workforce Management• InService ICCP interface to SCADA(s)• InService I/MDM: CIM-compliant Smart Meter integration

with Meter Data Management• InService I/DNA: CIM-compliant integration with DNA DNA (Siemens):• Spectrum Fault Location• Spectrum Fault Isolation & Service Restoration• Spectrum Distribution State Estimator• Spectrum Optimal Voltage & VAr control• Spectrum Optimal Feeder Reconfiguration• Spectrum Distribution Load Flow

Project details

• Partnership Intergraph / Siemens • Smart Meter integration• State of the Art Integrated Advanced DMS

based on Intergraph OMS InService and Siemens Spectrum D-SCADA & DNA

• Project implementation time 30 months (07/09)

OM&

MWM

“OMS” UI

DNA

Enterprise Service Bus

CIS

AdapterSOA Adapter

IVR

AdapterSOA Adapter

MaintenanceManagement

AdapterSOA Adapter

MDM

AdapterSOA Adapter

SOA AdapterSOA Adapter

EMS(existing)

D-SCADA

FE

FE

GIS(existing)

ICCP

ICCP

DataBase

ICCP

Database

InService

Siemens

Siemens

Siemens

Intergraph

IntergraphSiemens

Page 33: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 33

Driving the Smart Grid:

Distributed Intelligence - DMS & Smart Substations Integrated Service Restoration

Energy/Demand Adjustments, Price Signals

Meter Reads and Packets

Service On/Off

DEMS/DRMS MDM/AMI

Energy Balancing & Demand Response Consumer Access

Substation Control Models,Decision Regime, Supervisory Control

Device Status, Analogs, Disturbance/Fault Indications,

Advance Warnings

Feeder Device Status, Analogs, Disturbance/Fault Indications

SmartDistributionGridControl Center

Advanced DMS

Smart-SubstationTM

Controller

Substations

DER

Controllable Equipment

Recloser Switch CapacitorBank

Distributed Energy Resource Status, Settings, Change Requests

Load Models, Outage Last Gasp, Service “Pings”

Automated Substation Control Commands, Control Center Commands

Building, Home, DER Management Systems

Residential

BatteriesSolar

Industrial

Wind

CommercialCommercial

Intelligent Meters

ResidentialIndustrial CommercialCommercial

Page 34: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 34

Momentum with Intergraph

2011

2012

New InService Wins InService Customer Upgrades

Page 35: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 35

InService Customers – 35 million meters!

Page 36: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

Questions?

SMARTERDECISIONS

Page 37: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 37

Driving the Smart Grid: Oncor

Headquartered in Dallas, Texas 6th largest U.S. transmission and

distribution company in USA Supplies electricity to approximately 7

million consumers– 3 Million electric meters– About 1/3 of the state's population

Service area over 401 incorporated municipalities and 91 counties covering 27,000 square miles

System– 950,000 Distribution Transformers– 3,000,000 Smart Meters by 2012– 102,000 Miles of Distribution lines– 3,500 feeders– 1,500 substations

Staffing– 1,600 Mobile Units– 220 Managers– 95 Storm Dispatchers– 55 Fulltime Dispatchers– 38 remote offices– 2 operation centers

Statistics– Completing in InService per day

– 12,000 Service Orders– 4,000 AMI Meter Installs

Phased Deployment– MWM Deployed Dec 2009– OMS Rolled Out System Wide 2010– DSCADA – DNA

Page 38: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 38

Advanced DMS - Integration

ICCP

HVSCADA

CFE

ICCP

Etc.CFE

ICCP

Distribution SCADA

CFE

OMSICCP

FaultAnalysis

NetworkAnalysis

ESB

MDM

Etc.

ESB

Page 39: Michel Gilles - Intergraph · Fault Isol. & Service Restor. Distribution State Estimator Operate and Monitor Distribution SCADA Data Acquisition Real Time Data Processing Network

September 30, 2013 Slide 39

Integrated ADMS (SCADA, OMS, DNA)

SiemensDNA

App Suite

IntergraphInService 8.2OMS/MWFM

ICCPIntergraphInService

8.3.1OMS/MWFM

ProductInterface

ProductInterface

Pro

duct

Inte

rface

Pro

duct

Inte

rface

SOA andWebSphere MQ

SiemensSpectrum

Power TG 8.3 SCADA