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© 2010 IBM Corporation
Smart Grid – a peek to IBM View Pnina VortmanIBM Haifa Research Lab
© 2010 IBM Corporation
An opportunity for energy & utilities organizations to think and act in new ways.
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An opportunity for energy & utilities organizations to think and act in new ways.
Energy Systems Transformation
Energy Systems Transformation
Smarter Plant - Energy
© 2010 IBM Corporation
Common solution paths leverage a similar approach
Uni
que
valu
e re
aliz
ed
Use of Smart Grid capabilities
ManageData1
AnalyzePatterns2
Optimize Outcomes3
Manage service info toimprove single department operations
Integrated info across departments to improve outcomes and compliance
Leverage end-to-end case management tooptimize service delivery
Improve service levelsReduce fraud and abuse
Focus on the customersSavings from overpaymentAssistance with compliance
Integrated case managementAutomation of customer supportReduce operating costs
© 2010 IBM Corporation
An integrated Framework –a comprehensive management system
Key functionsReal-time automated command & control of all the grid services
– Executive dashboard– Emergency response– Optimized resource allocation– Asset management– Energy management
Integrated Business Intelligence and Predictive trend analysisQuick drill down to data
– role based views– security access
Enables integrated management of all services
– “Sense” and report facts– Monitor & analyze environment– Predictive analysis– Proactive action
Analytics / Optimization
Data Integration / Management
Presentation / Control (G2G, G2C, G2B, G2E)
DataSources Actuators
Content Mgmt
Secure Infrastructure
Enterprise Services …
People
© 2010 IBM Corporation
SmartGeneration
SmartGeneration
SmartHome
SmartHome
SmartBuildingSmart
Building
SmartGrid
SmartGrid
E-MobilityE-Mobility
SmartDevice
SmartStorage
SmartMeter
SmartMeteringSmart
Metering
Core Technical Services
Value Added Servi ces
Access Services Device Services
Core Business Services
Smarter Energy Service Hub
Client &3rd party
DataManagement
DataAnonymi
sation
ReportingEngine
Appl icationServer
SmartHome
Gateway
SmartGrid
LV_RTU
SmartMeteringGateway
EventManage
mentAnal yt icsengine
Opt imizationengine
PortalServer
DeviceHeartbeat
Daten-zentrale
ETLengine
ESB LDAP
ESBSecuri ty
Appl ianceOSGiServer
EndpointManage
ment
EnergyDataStore
AccessManage
ment
eMailServer
WebCommerce
B2BGateway
BusinessProcessManager
ZFA EAM
WebBrowser
MobileDevice
ExternalAccess
IOCIntelligent
MeterNW.Mgmt
Flexlast
MarketManager
MeterRolloutSupport
DemandResponse
EffizienzPortal
RenewablesMonitoring
LV-GridMonitoring
ChurnManagement
PredictiveMaintenance
SmartMeteringPortal
ChargingPole
Reservation
VirtualPowerPlant
Smarter Energy Service Hub
Variety
Volume Velocity
Veracity
Using Big Data in the Smart Grid
© 2010 IBM Corporation
Effizienz Portal
Smart Metering
Portal
ChargingPole
ReservationFlextlast Demand
ResponseLV-Grid
Monitring
Meter Roll out Support
Intelligent Miter NW
MgmtIOC Renewables
Monitoring
Business ProcessManager
Portal Server MDM B2B Gateway
EAM (AssetMgmt)
Web Commerce
ESB eMail Server LDAP Access Mgmt
OptimizationEngine
AnalyticsEngine
Event Mgmt ESB SecurityAppliance
DeviceHeartbeat
EndpointMgmt OSGi Server ETL engine
Daten-zentrale
Client &3rd Party
Data MgmtApplication
ServerReporting
engineData
Anonymisation
. . .
Core Technical Services
Core Business Process Services
Value Added Services
www
Web Browser
MobileDevice
ExternalAccess
Smarter Energy Service Hub
Smart MeteringGateway
Smart Home
Gateway
Smart Grid
LV_RTU
VirtualPower Plant
PredictiveMaintenance
ChurnMgmt
DevicesServices
AccessServices
Market manager . . .
Deployment Options
Smarter Energy Services HUB
© 2010 IBM Corporation
Reuse of a number of sources (like smart meters) to provide additional businessvalue and solutions.
Classical approachSample : Meter reading to Cash Single usage of data and application
Disruptive or innovative approachSample : smarter energy service hubmultiple reuse of same data and core components to generate new business solutions and support agile business development and decision support
© 2010 IBM Corporation
SmartGeneration
SmartGeneration
SmartHome
SmartHome
SmartBuildingSmart
Building
SmartGrid
SmartGrid
E-MobilityE-Mobility
SmartDevice
SmartStorage
SmartMeter
SmartMeteringSmart
Metering
Core Technical Services
Value Added Services
Access Services Device Services
Core Business Services
Smarter Energy Service Hub
Cl ient &3rd party
DataManagement
DataAnonymi
sation
ReportingEngine
Appl icationServer
SmartHome
Gateway
SmartGrid
LV_RTU
SmartMeteringGateway
EventManage
mentAnalyt icsengine
Opt imizati onengine
PortalServer
DeviceHeartbeat
Daten-zentrale
ETLengine
ESB LDAP
ESBSecuri tyAppl iance
OSGiServer
EndpointManage
ment
EnergyDataStore
AccessManage
ment
eMailServer
WebCommerce
B2BGateway
BusinessProcessManager
ZFA EAM
WebBrowser
Mobi leDevice
ExternalAccess
IOCIntel ligent
MeterNW.Mgmt
Flexlast
MarketManager
MeterRolloutSupport
DemandResponse
EffizienzPortal
RenewablesMonitoring
LV-GridMonitoring
ChurnManagement
PredictiveMaintenance
SmartMetering
Portal
ChargingPole
Reservation
VirtualPowerPlant
Smarter Energy Service Hub
SmartGeneration
SmartGeneration
SmartHome
SmartHome
SmartBuildingSmart
Building
SmartGrid
SmartGrid
E-MobilityE-Mobility
SmartDevice
SmartStorage
SmartMeter
SmartMeteringSmart
Metering
Core Technical Services
Value Added Servi ces
Access Services Device Services
Core Business Services
Smarter Energy Service Hub
Client &3rd party
DataManagement
DataAnonymi
sation
ReportingEngi ne
Appl icationServer
SmartHome
Gateway
SmartGrid
LV_RTU
SmartMeteri ngGateway
EventManage
mentAnal ytics
engine
Optimizati onengine
Porta lServer
DeviceHeartbeat
Daten-zentrale
ETLengine
ESB LDAP
ESBSecuri tyAppliance
OSGiServer
Endpoin tManage
ment
EnergyDataStore
AccessManage
ment
eMailServer
WebCommerce
B2BGateway
BusinessProcessManager
ZFA EAM
WebBrowser
MobileDevice
ExternalAccess
IOCIntell igent
MeterNW.Mgmt
Flexlast
MarketManager
MeterRolloutSupport
DemandResponse
EffizienzPortal
RenewablesMonitoring
LV-Gri dMonitoring
ChurnManagement
Pred ictiveMaintenance
SmartMeteri ng
Portal
ChargingPole
Reservation
VirtualPowerPlant
Smarter Energy Service Hub
SmartGeneration
SmartGeneration
SmartHome
SmartHome
SmartBuildingSmart
Building
SmartGrid
SmartGrid
E-MobilityE-Mobility
SmartDevice
SmartStorage
SmartMeter
SmartMeteringSmart
Metering
Core Technical Services
Value Added Services
Access Services Device Services
Core Business Services
Smarter Energy Service Hub
Client &3rd party
DataManagement
DataAnonymi
sation
ReportingEngi ne
Appl icationServer
SmartHome
Gateway
SmartGrid
LV_RTU
SmartMeteringGateway
EventManage
mentAnalytics
engine
Optimizati onengine
Porta lServer
DeviceHeartbea t
Daten-zen trale
ETLengine
ESB LDAP
ESBSecuri ty
Appl ianceOSGiServer
Endpoin tManage
ment
EnergyDataStore
AccessManage
ment
eMailServer
WebCommerce
B2BGateway
BusinessProcessManager
ZFA EAM
WebBrowser
MobileDevice
ExternalAccess
IOCIntelligent
Me terNW.Mgmt
Flexlast
MarketManager
MeterRolloutSupport
Dem andResponse
EffizienzPortal
RenewablesMonitoring
LV-GridMonitoring
ChurnManagement
PredictiveMaintenance
SmartMe teri ng
Portal
ChargingPole
Reservat ion
VirtualPowerPlant
Smarter Energy Service Hub
SmartGeneration
SmartGeneration
SmartHome
SmartHome
SmartBuildingSmart
Building
SmartGrid
SmartGrid
E-MobilityE-Mobility
SmartDevice
SmartStorage
SmartMeter
SmartMeteringSmart
Metering
Core Techni cal Services
Value Added Servi ces
Access Services Device Services
Core Business Services
Smarter Energy Service Hub
Client &3rd party
DataManagement
DataAnonymi
sation
ReportingEngine
Appl icationServer
SmartHome
Gateway
SmartGrid
LV_RTU
SmartMeteri ngGateway
EventManage
mentAnalyt ics
engine
Optimizati onengine
PortalServer
DeviceHeartbeat
Daten-zentrale
ETLengine
ESB LDAP
ESBSecuri tyAppl iance
OSGiServer
EndpointManage
ment
EnergyDataStore
AccessManage
ment
eMailServer
WebCommerce
B2BGateway
BusinessProcessManager
ZFA EAM
WebBrowser
MobileDevice
ExternalAccess
IOCIntelligent
MeterNW.Mgmt
Flexlast
MarketManager
MeterRolloutSupport
DemandResponse
EffizienzPorta l
RenewablesMonitoring
LV-GridMonitoring
ChurnManagement
PredictiveMaintenance
SmartMeteri ng
Porta l
ChargingPole
Reservation
VirtualPowerPlant
Smarter Energy Service Hub
EnergyEfficiency
RolloutSupport
LV-GridManagement &Optimization
VirtualPowerplantVPP
Conceptual model to cover multiple business scenarios
© 2010 IBM Corporation
Smart Meter Smart Home Smart Plug Smart Storage
Smart Grid Smart Substation Smart Generation Smart Water
Smart Appliance Smart Vehicle Smart Work Smart Phone
Business Models and Industry Interconnect
© 2010 IBM Corporation
Activities in IBM Research and Haifa Research Lab
© 2010 IBM Corporation
Advancing the Utility of the Future through Big Data & Analytics
Smarter Energy Research Institute
Outage Planning Optimization
Power Engineering + Mathematicians
Analytics Platform of the Future
Global Membership + Joint Investments + Collaborative InnovationShared Analytics Assets (algorithms, software, patents)
SERI Innovation Tracks Predictive Analytics, Optimization & Adv. Computing for:
Asset ManagementOptimization
Integration of Renewables & DER
Wide-Area Situational Awareness
The Participatory Network
IBM
AO
MS
Smarter Energy Lab @ Watson
Deep Collaboration
Founding Members
Selectingremaining~5 global members
© 2010 IBM Corporation
Business Value
Brief Description
Very low false-positive rate, scales to many metering points without burdening operational staff.
Ability to detect both spikes and dips in consumption. Help detect tampering, theft, meter faults
Non-parametric model automatically disregards effects of extreme weather, weekends, holidays and so on.
Accurate detection of anomalous consumption. Identification of usage patterns for water and electricity. Understanding of customer usage behavior. Demand prediction and planning.
Solution DefinitionAnomaly Detection for Smart Grid
B InfoBridge module
Upstream –mostly metering (conflated) data
Home Layer InfoBridge
Intermediate Layer InfoBridge
B
Utility Control Center
Downstream –control data
Upstream –mostly metering (conflated) data
Downstream –control data
B
B B
AMI Networking Topology domestic domain
IBM Haifa Research Lab Contact: Pnina Vortman
© 2010 IBM Corporation
Partial Discharge Forecast
Objective: Partial Discharge Diagnostic.– Transform monitoring information of real PD activity
into unsupervised machine learning models that aim to predict PD cable criticality.
Method: Unsupervised Cluster Analysis.– The clustering problem has been approached under
the assumption that same sources generates signals having similar shapes.
Data: Partial Discharge Activity Recorded by UKPN.
– Digital signals sampled by high frequency CT (HFCT) sensors, which are designed to detect PD on MV cables.
– The input signals are complex due to multiple sources occurring in practical objects (i.e. substations).
Feature Extraction– Principal Component Analysis (PCA) is shown to be
the suitable dimension reduction technique by extracting the majority of the variation in the original data set.
Implementing PCA is the equivalent of applying Singular Value Decomposition (SVD) on the covariance matrix.
IBM Research - Haifa
1. Recorded PD Activity
2. Cluster Analysis
3. Diagnostics
© 2010 IBM Corporation
Real time messaging in Smart Grid infrastructure
InfoBridgemodule
Upstream –metering (conflated) data
Home Layer
Intermediate Layer
B
Utility Control Center
Downstream –control data
Upstream –metering (conflated) data
Downstream –control data
B B
InfoBridge: Efficient messaging layer for smart grid data distribution with real-time quality of service
– Advanced Metering Infrastructure (AMI):smart meters in Low Voltage distribution grid (households, businesses, etc)
– Distribution Automation (DA): real-time monitoring of Medium Voltage grid infrastructure (substations, transformers, etc)
Part in European Union FP7 HiPerDNO Smart Grid project
– Grid management via real-time HPC with intelligent communication
– Consortium: EDF France, Brunel U, Oxford U , UK Power Networks, IBM, Fraunhofer, Union Fenosa, Indra, GTD Spain, Korona, Electro Gorenjska
IBM Haifa Research Lab Contact: Pnina Vortman
© 2010 IBM Corporation15151515
Smart Meters Indentifying cause of misreading
Discover the cause of misreading of smart meters
Color dots represent meters.– Size – Problem severity– Color: Firmware version (Purple – version 1,
Green – version 2)– Triangles represent places where outage
occurred.
Finding 1: In area A the meters misreading are due to outage (correlate with the outage, since most of the misreading are inside the triangle)Finding 2: In areas B the severest problems (biggest dots) seems to relate to meter with firmware 2 (Green color)
AB
B
© 2010 IBM Corporation