Enabling the Smart Grid: The Power of Analytics in Today’s

Utility

ISGT 2014 Panel Session

Thursday, 20 February 2014

Chair: Arnie de Castro, SAS Institute

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PanelistsTao Hong, Ph.D., Assistant Professor, University of North Carolina at Charlotte

“Driving the Value of Smart Grid Data through Predictive Analytics”

Aranya Chakrabortty, Ph.D., Assistant Professor, North Carolina State University“Predictive Wide-Area Modeling of Large Power System Networks Using Synchronized Phasor Measurements”

Claude Godin, Director of Energy Data Analytics, DNVGL (formerly KEMA)“Load Research in the Smart Grid Era – Analytics for Harvesting Customer Insights”

Bob Beadle, Director of Engineering at NCEMC“Leveraging Smart Grid Data for Optimizing Distribution Operations”

Scott Albrechtsen, Load Research Analyst at BC Hydro“Utilizing Predictive Analytics to Model Distribution System losses with Smart Grid Data”

Arnie de Castro, Ph.D., Product Manager at SAS Institute, Chair

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AnalyticsDefinition

Analytics is the discovery and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. Analytics often favors data visualization to communicate insight.

- From Wikipedia, the free encyclopedia

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Risk Management

Advanced Risk ManagementRevenue AssuranceGovernance, Risk and Compliance

Data Management

Data QualityData AccessData Integration and RationalizationDecision Support

Customer Care

CommunicationMarketing OptimizationLoad Analysis

Operations

OptimizationForecastingAsset AnalyticsOutage Management

Applications in the Utility Industry

Distribution Optimization

Distribution Network Model

GIS, OMSSCADA/DMS, Meter Data,Sensor Data

Network Operations Model

Distribution Optimization

ConservationVoltageReduction

Loss Minimization

Tap Changing Transformers

Capacitors

Regulators

Direct Load Control

CostOptimization

Distributed Intelligence

Distributed Generation

Energy Storage

Load Forecasts

Load Models

Load Analytics

Measurement and Verification

Connectivity(Static) Data

Operational (Dynamic) Data

Optimization Software

Predictive Asset Maintenance• Identify equipment that is

likely to fail and/or determines its remaining lifetime

• Prioritize problems based on business impact

• Determine root cause more quickly

• Provide automated reporting and alerting

• Provide a collaborative environment

Data

Enrichment

CIS, GIS

EAI, GPS, TLM,

CIS, Mobile Data,

OMS, Meter Data,

Others such as

MLS, county

records….

Sources

Anomaly

Detection

Predictive

Modeling

Network

Analysis

Revenue ProtectionCase

Management

and

Reporting

Outage Optimization- Balancing Customer Satisfaction and Reliability: SAIDI, SAIFI

0

500

1000

1500

Hospital High Business High ResidentialHigh

ResidentialLow

ResidentialMedium

Police High EmergencyServices High

SchoolMedium

Outages 30 - 60 Outage 60 - 90 Outage > 90

Load Profile Comparisons via Segmentation