© July 2008 Telvent DMS - smart grid · PDF file9Combines AMI, SCADA, OMS, DMS, and...

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© July 2008 Telvent DMS

Transcript of © July 2008 Telvent DMS - smart grid · PDF file9Combines AMI, SCADA, OMS, DMS, and...

Page 1: © July 2008 Telvent DMS - smart grid · PDF file9Combines AMI, SCADA, OMS, DMS, and enterprise information in a seamless and secure ... 12 - Telvent DMS_Presentation.ppt [Compatibility

© July 2008 Telvent DMS

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DMS, AMI and the Smart Grid

1. Smart Grid Drivers and Concepts

2. DMS, AMI, and Business Value

3. DMS in Smart Grid – DG implementation

2. DMS, AMI, and Business Value

4. Usage of AMI in DMS

5. Integration: Key to Smart Grid Success5. Integration: Key to Smart Grid Success

Smart Grid Solution

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Key Smart Grid Market DriversKey Smart Grid Market Drivers

IndustryRegulatoryIndustry

Economic

Aging Infra-Structure/Workforce

Regulatory

Emerging Technology

GrowingDemand Growth/

Isolated The

Smart GrowingDemand Growth/

Dist Gen

Isolated SystemsSmart

Grid

Efficiencyand

Reliability

Technology

Climate Change

Efficiency

Industry

TechnologyAdvances

Efficiencyand

Reliability

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Key Smart Grid Technology Key Smart Grid Technology Drivers Advanced power electronics:Drivers

Network Management:OMS, SCADA, GIS

New materials:

Advanced power electronics:Flexible Alternating Current

Systems (FACTS devices)

Smart Metering:AMR, AMI, remote measurement,

Smart GridsTechnology

Drivers

New materials:Semiconductor-based power

electronics, nano-science

High TemperatureSuperconductors:

HTS generators, transformers,

AMR, AMI, remote measurement, remote control, remote

indication

Customer Information System:Billing, pricing and reporting, Drivers HTS generators, transformers,

and cables

Distributed energy resources:Distributed energy generation and combined heat and power

Demand Side ManagementDirect load control, household load management, industrial

Billing, pricing and reporting, connection to ERP

Electricity storage & VPP:Virtual generation, electric vehicles, hybrid-, mini-, micro power plants

and combined heat and power systems

load management, industrial load management

Network Optimization:EMS, DMS, Network Planning,

hybrid-, mini-, micro power plantsEMS, DMS, Network Planning,

Asset Management

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Principal Characteristics of the Smart Grid

1. Optimizes performance and resource using2. Better insight in distribution network3. Education of staff/what if analysis 3. Education of staff/what if analysis 4. Operates efficiently/decreasing

costs/postponement of investmentcosts/postponement of investment5. Self-healing and adaptive6. Provides high quality power 6. Provides high quality power 7. Resists disturbances, natural and man-made8. Interactive with consumers and markets

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The Challenge

To transform the current utility grid into one that distributes electricity more efficiently and securely, while meeting the demands of a securely, while meeting the demands of a changing society in a sustainable way

Through logical, systematic stepsThrough logical, systematic stepsTaking advantage of the best resources availableRecognizing that time is not on our sideRecognizing that time is not on our side

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Smart Operations

•AMI•Meter Data

Smart Metering•AMI•Meter Ops.Smart Operations •Meter DataMgmt•Meter Ops.Mgmt.

•Meter Ops.Mgmt.

•Meter DataMgmt

•SCADA•DMS•OMS

Mgmt.Mgmt

Integration and

Business•OMS•GIS

•RTUs/ITUsSmart Networks

BusinessProcess

•IEDs•Field Sensors•Integration

The Smart Grid •Integration

The Smart Grid Solution

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AMI/DMS/OMS core of system distribution AMI/DMS/OMS core of system distribution management

Complete insight into MV and LV stateRadical improvement of distribution state estimation resultsresultsMore precise determination of energy losses and commercial lossesEnergy balance calculationEnergy balance calculationImproving Fault managementShorter outage time and removing violations in network (voltage, current)network (voltage, current)Improving power system quality and customer satisfactionProviding load management and emergency load Providing load management and emergency load shedding

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Short circuit and impact of DG to circuit breakersShort circuit and impact of DG to circuit breakers

Increasing short circuit current on fault location

DC caused by DG has time constant greater then usual for circuit breaker (45 ms according IEC 56 – this value can be overreached; consequence is unsafe operation of circuit breaker).of circuit breaker).

Short circuit current does not decrease along the feeder with DGswith DGs

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Increasing short circuit current on fault locationIncreasing short circuit current on fault location

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Impact of DG to circuit breakerImpact of DG to circuit breaker

>45 ms

Problem!!!Correct value!!!

<45 ms

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Decreasing/increasing short circuit Decreasing/increasing short circuit current along the feeder with DGs

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Settings of relay protection and tuning of selectivity with multiple DGsmultiple DGs

Selectivity problem

More complex relay protection settings

More complex relay solutions are required –More complex relay solutions are required –like directional relays

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I=749 AI 749 A

Problem:Unnecessary relay tripping

I=8679 AUnnecessary relay tripping

Solution ???

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DGs operation in loop

Selectivity problem

Solution cannot be achieved by existing protectionSolution cannot be achieved by existing protection

Sometimes additional separate line for DGs is requiredSometimes additional separate line for DGs is required

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Selectivity problem in loop with DGsSelectivity problem in loop with DGs

Problem:Unnecessary relay tripping

Solution ???Solution ???

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Integration - Key to Smart Grid Success:

Have information of individual consumers (id, rated power, actual power, in

Integration - Key to Smart Grid Success:AMI integration (requirements)Have information of individual consumers (id, rated power, actual power, in

service) in DMS

Have the ability to import individual consumers information (id, rated power, actual power, in service) from an external system (typically CIS)

Have the ability to build the Load curve associated to a bus bar (LV or MV) based on the customers connected to the bus bar and their individual data imported from an external system (typically CIS)

Have the ability to periodically update the customers associated to each Have the ability to periodically update the customers associated to each load curve and their rated power (typically AMI/MDM)

Have the ability to adjust the load curves based on the values that are received from AMI or retrieved from an MDMreceived from AMI or retrieved from an MDM

Have the ability to update the actual value of power associated to a load curve based on the values received from AMI

Have the ability to improve fault management based on real-time Have the ability to improve fault management based on real-time information received from SCADA, OMS and AMI

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Detect outages in non “visible” parts of the networkDetect outages in non “visible” parts of the network(Fault Location)

The system should detect outages in the network based on the The system should detect outages in the network based on the difference of power in the current state and the previous state. This may happen when the system is tuned and the confidence in the measurements and estimation is high.measurements and estimation is high.

As part of this detection, when a realtime measurement change on the head of a feeder is greater than what is expected according to the aggregate load profile (considering a predefined treshold), that feeder aggregate load profile (considering a predefined treshold), that feeder should be highlighted as suspicious to have an outage.

When the system receives a list of customers affected coming from an external system (OMS/AMI) it should estimate the part of the network external system (OMS/AMI) it should estimate the part of the network without energy based on the realtime meassured current, the load profiles and the customers confirmed to be affected.

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Usage of Automatic Metering Usage of Automatic Metering Infrastructure (AMI) in DMSInfrastructure (AMI) in DMS

Five roles:

• Update of consumer load profiles

• Value of consumer load peak

• Addition measurement in network depth• Addition measurement in network depth

• Improving fault management

• Load management (selective turn off some consumption – A/C, water • Load management (selective turn off some consumption – A/C, water heater, …)

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UPDATE OF CONSUMER LOAD UPDATE OF CONSUMER LOAD PROFILES:Each typical consumer type is described by appropriate load Each typical consumer type is described by appropriate load profiles in relative units

I, cosφ - I

1 - cos φ

0 12 24

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UPDATING LOAD UPDATING LOAD PROFILES

I

Iold

I Inew

Iupdated

I

Iupdated=(1-α)Iold+αInew

0 12 24

Iupdated=(1- )Iold+ Inew

Update is provided by AMI placed on LV side of MV/LV transformers.

is typically 5-15%α is typically 5-15%

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VALUE OF CONSUMER LOAD VALUE OF CONSUMER LOAD PEAK

• Product of consumer load peak and profile gives value • Product of consumer load peak and profile gives value of consumption

• This value defines distribution of load along feeder and it is used in network state estimationused in network state estimation

• Generally distribution of load along feeder can be done by:rated power of MV/LV transformerrated power of MV/LV transformerpeak loads (better; AMI provides this value)sold energy (the best; AMI provides this value)

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ADDITIONAL MEASUREMENT I TNE NETWORK

If AMI provides measurement on LV side of MV/LV transformer periodically (every e.g. 1 or 2 hours), this value can be recalculated and

ADDITIONAL MEASUREMENT I TNE NETWORK DEPTH

periodically (every e.g. 1 or 2 hours), this value can be recalculated and added on MV side where it can be taken in the State Estimation procedure; this will improve network state estimation quality

MV/LV MV/LV

HV/MV substat ion

SCADA measurement

MV/LV

Virtual SMI [P,Q])

lateral MV/LV

SMI [P,Q]) LV busbar

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Sudden drop of feeder load – may be caused by two ways:

IMPROVING FAULT MANAGEMENT

Sudden drop of feeder load – may be caused by two ways:

• simply decreasing consumption without fault (significant consumer is turned off)

• more often it means fault; this means that a part of feeder is without energy

How can we check which of these two cases has happened?

Let us consider the situation on the following slide:

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LOAD MANAGEMENTLOAD MANAGEMENTReduction of peak load practically without consumer disturbance

•Load management function gives schedule and number of consumers which should be turned off

•AMI can be infrastructure for accomplishment of load management

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The Power of Integration IntegratedIntegrated

Enables optimal asset and load management decisions in RealTime

The Telvent Smart Grid Solution

decisions in RealTimeImproves customer service and reliability by cross-cutting data access, accuracy, and cross-cutting data access, accuracy, and enhanced network securityCombines AMI, SCADA, OMS, DMS, and Combines AMI, SCADA, OMS, DMS, and enterprise information in a seamless and secure way to provide operations personnel and executives with a more comprehensive view of executives with a more comprehensive view of the network

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Telvent Smart Grid Solutions Architecture Telvent Smart Grid Solutions Architecture Decision Support

ExecutiveDashboard Analysis

Enterprise

DataWarehouseNetwork

Planning ERP CIS EAM

ArcFM GIS

Enterprise Integration Bus

TitaniumAMI Distributed

Digital IP Communications

OSISoftPi

SSAFMS OASyS SCADA

ResponderOMSDMS

AMIDigital IP Communications

Network

Pi

PUB/SUB - RealTime Integration Bus

FeederDevices

SubDevicesMeters

Mission Critical

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Integration between DMS software and GIS Miner&Miner

Network ModelSymbol DNO

Integration between DMS software and GIS Miner&MinerArcFMDMS software

GIS software

GIS Adapter

Network Builder

ModelManager

SymbolEditor

DNOEditor

GIS Web Service

DMI-MS DMI-MSDMI-MS

CORBA HTTP

M&M ArcFM

M&M Network Adapter

PermisionsSQLite

MS Model

ModelServer

Service

GIS AdapterClient

ESRI ArcGIS

M&M ArcFM

MS ModelSQLite

ModelArchiver

Transporter& DynConf Maker

DMI-MS

DMI Bi

ArcSDE

DMSArchiveORACLE RTM

BinaryDAConf

XMLDynDSQLite

DMI-Bin

To RT System

Data for RT System

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Integration between DMS software andIntegration between DMS software and

OASys SCADA, Miner&Miner ArcFM and Responder

S t S t

CORBA ORB

DARB

SystemMonitor DMCDMD System

ManagerDMS APP Actualizer

DMI

DAServer

A&EServerReplicator User

ServerFH ARMServerTMSDMS APP

DAConfXML

Local pts.SQLite

RTMBinary

DMSResultsSQLite

SecuritySQLite

PSConfXML

OASDMS Proxy

DMSPersistent

Store

ResponderWeb

Service

Local pts.Archiver

DARBRF ad.

OASySNetworkAdapter

M&M

ResponderM&M

DMSArchiveORACLE

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ENEL – Power Industry of ItalyCompleted pilot project Milano7 years cooperation50 mil. consumers50 mil. consumers

Installation of DMSInstallation of DMSSoftware in all 28Software in all 28Software in all 28Software in all 28control centres incontrol centres inITALYITALY

Installations and Maintenance Installations and Maintenance

supported by supported by TelventTelvent DMSDMS

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Distribution Management – Import process

ENEL – Case Study IntegrationDistribution Management – Import process

STM CLIENT 1STM CLIENT 1 STM CLIENT 2STM CLIENT 2 DMS CLIENTSDMS CLIENTS

Electrical Electrical datadata

Topological Topological data data

CUSTOMER CUSTOMER CONSUMPTION CONSUMPTION

DATADATAAUI DATA BASEAUI DATA BASESTM SYSTEM STM SYSTEM

DMS SERVERDMS SERVERSTM SERVERSTM SERVER

DMS

IMPORTER

GMEGMEdatadata

data data importingimportingimportingimporting

APPLICATION TO APPLICATION TO CREATE LOADCREATE LOAD

Customer data importingCustomer data importingMV Customer dataMV Customer data

DMS SYSTEMDMS SYSTEM

DMS SERVERDMS SERVERSTM SERVERSTM SERVER

GIS

IMPORTER BACKGROUND

IMPORTER

CREATE LOAD CREATE LOAD CURVESCURVES

MV Customer dataMV Customer dataLV Customer dataLV Customer data

AUIAUIDBDB

SIGRAFSIGRAFDBDB

BACKGROUND MAPSBACKGROUND MAPSSIGRAF DATASIGRAF DATA

Topographical data importingTopographical data importing

Background data importingBackground data importing

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Distribution Management – Operation process

ENEL – Case Study Integration

Distribution Management – Operation processSTM CLIENTSTM CLIENT DMS CLIENTSDMS CLIENTS

Dynamic dataDynamic data

DMS DMS SERVERSERVERSTM STM

SERVERSERVER

DMS function resultsDMS function results

Dynamic data exchangeDynamic data exchangeSERVERSERVER Dynamic data exchangeDynamic data exchange

DMS results data exportingDMS results data exporting

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Conclusions

DMS and Smart Grid integrations are necessary for:Estimation and calculation of C/B from investments into the Smart Gridsinto the Smart GridsNetwork design with settings of Smart Grid facilities (equipment number and location)facilities (equipment number and location)Settings and coordination of Smart Grid facilities (how to set them in order to achieve the best and expected effect)best and expected effect)Redesign of distribution network with Smart Grid facilities (change of topology, relay protection etc)facilities (change of topology, relay protection etc)DMS is a decision making online tool on top of Smart Grid.