Enabling the Smart Grid: The - IEEE · Aranya Chakrabortty, Ph.D., Assistant Professor, North...
Transcript of Enabling the Smart Grid: The - IEEE · Aranya Chakrabortty, Ph.D., Assistant Professor, North...
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