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Increase of power system survivability: Decision Support Tool

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IRRIIS Increase of power system survivability: Decision Support Tool “CRIPS” based on Network Planning IRRIIS - FP6-2005–IST-4 EC - LOGO Christine Schwaegerl Olaf Seifert Robert Buschmann Hermann Dellwing Stefan Geretshuber Claus Leick
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IRRIIS

Increase of power system survivability:Decision Support Tool “CRIPS”based on Network Planning

IRRIIS - FP6-2005–IST-4

EC - LOGO

Christine SchwaegerlOlaf Seifert

Robert BuschmannHermann DellwingStefan GeretshuberClaus Leick

IRRIIS

Decision-Support Tools for the Power Domain

1. Most approaches use a physical model of the system (online simulation)

2. Other approaches use data-mining techniques, when the underlying problem needs accurate classification or detection of patterns

3. Our approach presented here is to formalize and capture the human expert knowledge and then build a tool based on “expert-system” techniques (rule-based systems)

What we mean is a tool which can provide suggested (control) actions (to the operator)

IRRIIS

The Decision-Support Tool “CRIPS”

Acronym: Crisis Planning and Prevention SystemCRIPS is a Knowledge Based Expert SystemCRIPS is one of the “MIT add-on Components”developed within the IRRIIS ProjectCRIPS supports Operators by– Assessing of the current situation based on

dependency structuresinsights gained during exercises = Expert Knowledgeexperiences from incidents

– Suggesting Actions/Decisions based on this assessment

IRRIIS

command

archive & visualise

monitor&

collect data

controladjust & optimise

Tasks of a Power System Operator

Measurement of Operator’s UtilisationMeasurement of Operator’s Utilisation

Operator

IRRIIS

Time

Network in Secure Operation

Source: IRRIIS deliverable D 3.3.2

Triggering Event

Network in Disturbed Operation

Wrong Decision by Operator Right Decision by Operator

Cascading Triggering of Protection Devices

Point of no Return

Additional Failure

Action by Operator

Additional FailureAdditional Failure

Blackout

Emergence of a Power Blackout

Rec

over

y

IRRIIS

Time

Network in Secure Operation

Triggering Event

Network in Disturbed Operation

Cascading Triggering of Protection Devices

Point of no Return

Action by Operator

Blackout

Reaction Times

Minutes to Hours

Milliseconds toSeconds

Decision Support

IRRIIS

ES

ETRM

SA

PAITS

DTSTNA

UIDW

HFDFA

Tools

SDMBS

FISR

DNAOMS

VVCCMS

OFRNTLO

TCS

SCADA

CAMSCFE

SCADA

Trading

Generation

Transmission

DistributionET Energy Trading RM Risk Management ES Energy Sales, Customer Management

ITS Interchange Transaction

SA Scheduling Applications

PA Power Applications

TNA Transmission Network Applications

DTS Dispatcher Training Simulator

CFE Communication Front-EndCA Communication AppsSCADA Supervisory ControlMS Multi-site

BS Base SystemSDM Source Data ManagementUI User InterfaceDW Data WarehouseHFD Historical and Future Data FA Forecast Applications

DNA Distribution Network ApplicationVVC Volt/Var ControlFISR Fault Isolation/System RestorationOMS Outage ManagementCMS Crew Management SystemTCS Trouble Call SystemOFR Optimal Feeder ReconfigurationNTLO Non-Technical Losses

Input for Power System Operator

IRRIIS

Power System Operator Behaviour

Operator

ES

ET

RM

SA

PA

ITS

DTS

TNA

UI

DW

HFD

FA

Tools

SDM

BS

FISR

DNA

OMS

VVC

CMS

OFR

NTLO

TCS

SCADA

CA

MSCFE

IT-Systems

Environmental Conditions

Historical Incidents

Guidelines

Law

s

Grid

Cod

e

Con

tinge

ncy

Plan

Ope

ratio

nal

Han

dboo

ks

GeographicRealities

Decisions

Potential Input for Rules

IRRIIS

1. Develop a Scenario (Topology)

2. Build a Simulation Model

3. Acquire “Expert Knowledge“

4. Formalise & Model Knowledge

5. Validate Approach

Knowledge Engineering Processin the IRRIIS Project

KnowledgeEngineer

HumanExpert

KnowledgeBase of

Expert System

Dialog

Explicit

CRIPS

IRRIIS

CRIPS – Expert System

CRIPS

SituationAssessment

Decision Support

Operator

IRRIIS

CRIPS – Expert System

CRIPS

SCADA

Expert

Expert Knowledge

Present Situation

Rules SituationAssessment

Decision SupportFacts

one-time

continuously Operator

IRRIIS

CRIPS – “Demonstration”

Sincal Present Situation Decision Support

Operator

CRIPS

IRRIIS

The Scenario

Transformer

Bus bar

3 MV Areas (20 kV)

Infeeder

Power Line

Load

IRRIIS

IRRIISOverloaded Line

Switch off line P21h_P13h!

IRRIIS

IRRIIS

2. Scenario

IRRIIS

IRRIIS

Conclusions

The weakest part of the control chain is the human operatorAdvanced technology is taking load from the operatorNot every problem can be described by physicsSo an expert system can support decision and strategic assessmentSpecific suggestions still have to be validated by online simulationVery good relationship “simplicity – efficiency”

IRRIIS

Thank You!

Questions?


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