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?

OT Field Device Management

Configuration management can go dreadfully wrong

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

bradley.williams@oracle.com