smart grid – a peek to ibm view. pnina wortman... · consumption. identification of usage...

© 2010 IBM Corporation

Smart Grid – a peek to IBM View Pnina VortmanIBM Haifa Research Lab


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


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


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


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


Variety

Volume Velocity

Veracity

Using Big Data in the Smart Grid


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 Business Process Services

Value Added Services

www

Web Browser

MobileDevice

ExternalAccess


Smart MeteringGateway

Smart Home

Gateway

Smart Grid

LV_RTU

VirtualPower Plant


ChurnMgmt

DevicesServices

AccessServices

Market manager . . .

Deployment Options

Smarter Energy Services HUB


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


SmartGeneration

SmartGeneration

SmartHome

SmartHome

SmartBuildingSmart

Building

SmartGrid

SmartGrid


SmartDevice

SmartStorage

SmartMeter

SmartMeteringSmart

Metering






Cl ient &3rd party

DataManagement

DataAnonymi

sation

ReportingEngine

Appl icationServer

SmartHome

Gateway

SmartGrid

LV_RTU


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


ZFA EAM

WebBrowser

Mobi leDevice

ExternalAccess

IOCIntel ligent

MeterNW.Mgmt

Flexlast

MarketManager

MeterRolloutSupport

DemandResponse

EffizienzPortal


LV-GridMonitoring

ChurnManagement


SmartMetering

Portal

ChargingPole

Reservation

VirtualPowerPlant


SmartGeneration

SmartGeneration

SmartHome

SmartHome

SmartBuildingSmart

Building

SmartGrid

SmartGrid


SmartDevice

SmartStorage

SmartMeter

SmartMeteringSmart

Metering






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


ZFA EAM

WebBrowser

MobileDevice

ExternalAccess

IOCIntell igent

MeterNW.Mgmt

Flexlast

MarketManager

MeterRolloutSupport

DemandResponse

EffizienzPortal


LV-Gri dMonitoring

ChurnManagement

Pred ictiveMaintenance

SmartMeteri ng

Portal

ChargingPole

Reservation

VirtualPowerPlant


SmartGeneration

SmartGeneration

SmartHome

SmartHome

SmartBuildingSmart

Building

SmartGrid

SmartGrid


SmartDevice

SmartStorage

SmartMeter

SmartMeteringSmart

Metering






Client &3rd party

DataManagement

DataAnonymi

sation

ReportingEngi ne

Appl icationServer

SmartHome

Gateway

SmartGrid

LV_RTU


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


ZFA EAM

WebBrowser

MobileDevice

ExternalAccess

IOCIntelligent

Me terNW.Mgmt

Flexlast

MarketManager

MeterRolloutSupport

Dem andResponse

EffizienzPortal


LV-GridMonitoring

ChurnManagement


SmartMe teri ng

Portal

ChargingPole

Reservat ion

VirtualPowerPlant


SmartGeneration

SmartGeneration

SmartHome

SmartHome

SmartBuildingSmart

Building

SmartGrid

SmartGrid


SmartDevice

SmartStorage

SmartMeter

SmartMeteringSmart

Metering

Core Techni cal Services





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


ZFA EAM

WebBrowser

MobileDevice

ExternalAccess

IOCIntelligent

MeterNW.Mgmt

Flexlast

MarketManager

MeterRolloutSupport

DemandResponse

EffizienzPorta l


LV-GridMonitoring

ChurnManagement


SmartMeteri ng

Porta l

ChargingPole

Reservation

VirtualPowerPlant


EnergyEfficiency

RolloutSupport

LV-GridManagement &Optimization

VirtualPowerplantVPP

Conceptual model to cover multiple business scenarios


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


Activities in IBM Research and Haifa Research Lab


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


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


B

B B

AMI Networking Topology domestic domain

IBM Haifa Research Lab Contact: Pnina Vortman


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


Real time messaging in Smart Grid infrastructure

InfoBridgemodule

Upstream –metering (conflated) data

Home Layer

Intermediate Layer

B

Utility Control Center


Upstream –metering (conflated) 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

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