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TRANSCRIPT
Advanced Distribution Management Systems
IT and OT Converge Utility Operational Experience and why IT matters
Tuesday April 15, 10am –noon
Bradley R. Williams, PE, VP Industry Strategy
Oracle Utilities
1
Agenda
• Session objectives
• Issues driving IT & OT convergence
• Solutions uniting IT and OT
• Conclusion
2
Exponential Growth of Utility Data
Expected Growth of a Tier 1 Electric Utility’s Data Volume
800 TB
600 TB
400 TB
200 TB
Source: EPRI - IntelliGrid
Advanced Distribution Management requires a real-time information-rich distribution network
5
Smart Meters and Home Networks help customers use energy wisely, mitigate
peak demand, integrate local renewables
Smart Sensors, Controls, Distributed Computing on Transmission and Distribution System alert operators, fix
problems, integrate large-scale renewables generation
© 2014 Oracle Corporation – All Rights Reserved
Big Data – Why IT Matters…
Big data extends beyond structured data, including unstructured data of all varieties: text, audio, video, click streams, log files, events, measurements, and more.
Often time-sensitive, big data must be used, monitored, processed and analyzed close to real-time as it is streaming in to the enterprise in order to maximize its value to the business and ensure reliable network operation.
Big data comes in one size: large. Enterprises are awash with data, easily amassing terabytes and even petabytes of information used to constantly improve agility, competitiveness and forecasting abilities.
The transformation of raw data into successful strategies, the recognition of patterns, the ability to forecast future trends as well as driving innovations to achieve better business outcomes contributes to the value proposition to the corporation
Volume Variety
Velocity Value
Convergence of IT, OT, & Consumer Energy Technologies - Governance must be resolved…
• Smart Grid is bringing IT and OT closer together
• Smart Grid systems increasingly use modern IT platforms, security, and protocols (IP)
• Traditional Utility Operations Technology (OT) systems have been outside of the scope of IT and the CIO
• The lack of a successful IT/OT governance impedes performance
• Impact on security and compliance
Enterprise
Enterprise resource planning (ERP)
Human resources
Enterprise Asset Mgt
Distributed
Programmable Logic Controllers (PLC)
Advanced Protection Relays
Substation Integration
Sensors: e.g. PQ Monitors and Fault Indicators
Telecoms
Meters
Customer Tech
Centralized
Supervisory control and data acquisition (SCADA)
Energy mgmt. system (EMS)
Automatic generation control (AGC)
Distribution Asset Analysis (DAA)
Vertical
Geographic info system (GIS)
Outage management (OMS)
Enterprise asset management (EAM)
Customer information (CIS)
Energy trading & risk management (ETRM)
Operational Technology (OT) IT
Corporate IT network Control network(s)
Source: Gartner
CIO who owns this?
Use Data
12%
Executives who feel they
understand the impact data
will have on their organizations
Produce Data
Operational Technology Data Gap
Operational Analytics helps manage risk • Identifies issues to be addressed in terms of investment and risk • Effectively allocate resources to provide higher levels of customer service and
reliability while balancing financial objectives • Communicate return on asset investment in terms of customer value and risk
avoidance • Balance conflicting objectives:
Optimized CAPEX
Optimized OPEX
Improved ROI
Increased Value
Optimized Capabilities
Optimized Staffing Levels
Efficiency
Operational
Analytics
Customer Service
Reliability
Rate Value
Asset Criticality
Network Security
Consequence of Failure
Effectiveness
Operational Analytics drive utility performance
BENEFITS
• Utilities biggest issues have a spatial component: e.g. customers, assets, employees
• Enterprise information management approach - more people using the same data
• Best-of-breed tools for analysis and reporting
• Common BI toolset across apps
CAPBILITIES
• Spatial mashups of multiple sources of data
• Provides schemas for all core utility applications
• Reporting for datamarts & regular normalized databases
• Dashboards, reports, and graphs
Advanced Distribution Management IT/OT “system-of-systems”
SCADA
Smart Meter
Field Devices
Customer
GIS (Electric Facilities & Attribute Information)
Analytics
Asset & Device Management Web Portal
(Social media/Smart phones)
Network
Management System
SCADA
Smart Meter
Field Devices
Customer GIS (Facilities &
Attribute Information)
Analytics
Asset & Device Management
Web Portal (Social media/ Smart phones)
Advanced Distribution
Management System
Use Analytics for Operational Efficiencies: With data coming in from
every corner of the business, utilities must not only make data collection a priority,
but invest in the systems and people needed to analyze a growing number of new
data sources collected from smart meters and other smart grid components – to
drive operational improvements
Tackle Ownership Issues: Data ownership resides in various organization
departments. Smart meter/interval data should be considered enterprise-level data,
so utilities must ensure they have an enterprise data strategy in place
EIM: Utilities with enterprise information management strategies are better
prepared to handle the data deluge. Consider EIM as a means to get the most out
of your investments.
Remember the Customer: In addition to streamlining business operations,
successful data management should greatly improve the customer experience –
both through improved outage management/service reliability and stronger
customer communication around smart grid changes and benefits
Successful IT/OT Convergence Strategies