Transcript Slide 1

Transformative
Technologies: Offering
Insights into Utility Smart
Grid Implementation
Mike Ballard
Senior Director Industry Strategy (EMEA)
Oracle Utilities
May 2013
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Agenda
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
Challenges facing utilities around the world

The changing generation mix

The economic imperative

Demand response

Data analytics and Advanced Network Management

Social Interaction

Change is part of the future
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Challenges facing utilities around the world
Increasing demand for energy
Aging Workforce
Exposure to Climate Risks
The lack of sufficient infrastructure to add more
renewable energy to the grid
Better informed, better equipped and better connected
consumers
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The changing generation mix
 Increased gas use in the power sector is sensitive to several
market fundamentals
– Sustainability and security of supply as utilities move away from
coal, nuclear
– Rapidly evolving shale gas sources and markets
– The infrastructure for the addition of more renewable sources of
electricity is lacking. Increases costs, reduces rate of expansion.
– Differing political drivers and initiatives in each country impacts its
neighbour’s ability to meet its energy targets.
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The changing generation mix
Germany
Australia
USA
Japan
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The economic imperative
 Electricity use and gross national product have been, and probably will be,
strongly correlated. Rational cost and reliability of supply drive expansion of
economies, and the absence of these there is a decline in growth
 The economic powerhouses of the world drive a diverse fuel mix, and
nuclear energy still critical to many portfolios
– As part of existing portfolios in France, Japan, Korea and the U.S., and
– In the future energy plans of Turkey, UK, China, India and Vietnam, who are
embarking on large-scale nuclear new build programs*
 Adding renewable energy to the fuel mix presents challenges
– Intermittent supply issues on the network requires detailed knowledge of load
curves, and
– The only way to really understand and be able to track those load curves is to use
smart meters and smart devices, and the data both provide.
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*Source: Deloitte Touche Tohmatsu Limited Global Energy & Resources Group, “Empowering Ideas 2011” report
The economic imperative
 Due to generation replacement costs, there will be huge pressure to reduce
costs in other areas, so there is a need to look and other ways to maintain
high reliability without the excess network delivery capacity, and do more
with what is available.
 Aging infrastructure, even though some utilities have redundant network
delivery systems, still fail and needs to be maintained and replaced.
 Thus sensors, data, and analytics can use the data to predict operational
trends and enable more proactive maintenance and replacement
strategies. So smart devices that give insight into this and analytics to turn
the data in actions will be key.
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The future impact of electric vehicles
 Not only is the intermittency of renewable generation having an impact on
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the grid, but so is the increased adoption of electric vehicles by consumers.
As of December 2012, Japan and the U.S. are the largest highway-capable
electric car country markets in the world, followed by several Western
European countries and China.
In Japan, more than 28,000 all-electric cars have been sold through
December 2012. (Source: e.Nikkei.com)
Turkish government vision is for industry to create a Turkish EV brand.
EV charging places a demand on the system, especially at peak electricity
usage periods. As well, it can stress affected transformers.
Demand response and time-of-use incentives and initiatives are key to
managing the new demand EVs are placing on the grid.
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Balancing Demand with Supply
 Balancing demand and supply has
become increasingly complicated
–
Increasing intermittent renewable
resources, both Tx and Dx attached, is
creating significant operational
challenges
–
Digitization of our everyday lives is
adding to the peakiness of load curve
 California Loading Order established to encourage reduction in CO2 –
Mandates the use of EE and DR first to meet increasing load growth
1.
2.
3.
4.
5.
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Energy Efficiency
Demand Response
Renewables
Distributed Generation
Fossil-fuel generation
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DSM can reduce need for generation capacity
Indicative Energy Use Profile for a Commercial Office Building
4.50
Demand Response
Standard
Energy Efficient
4.00
Watts per square foot
3.50
3.00
2.50
2.00
1.50
1.00
0.50
Source:
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Public Interest Energy Research
(PIER)
Demand Response Research Center
0.00
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Insert Information Protection Policy Classification from Slide 13
Technology is necessary to achieve full potential
 Reliability programs are critical, but achieving
higher levels of DR will require pricing
programs and enabling technology
 AutoGrid’s evaluation of a pilot for enabling
technology quantified the benefit of technologyenabled load control to be an additional 12% of
load reduction
– Homes with communicating thermostats
witnessed an average load reduction of 27%
– Homes which were just provided an in home
display saw a average reduction of 15%
– Access to a portal provided the lowest reduction
at 12%
 Direct Load Control provides best results in
load shedding but introduces social challenges
Source: AutoGrid Analytics of an actual DR Event at a US Utility
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Insert Information Protection Policy Classification from Slide 13
Source: FERC Staff Report June 2009: A National Assessment of Demand Response Potential
Data analytics
The key to operational excellence and better customer service
Key areas of focus:
 Demand forecasting and load management to better predict future
demand, and the ability to segment customers according to usage
patterns
 Asset management with the opportunity for utilities to do pre-emptive
device maintenance, which can extend the life of equipment, avoid
potential outages due to equipment failure, and provide quicker
resolution in the event of an outage
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Network management and AMI integration
High-Level Functionality
 Outage Detection
– Last Gasp Type Processing
 Service Outage Verification
– Ping Meter Before Rolling A Crew
 Device Outage Verification
– Ping A Random (Or Requested) Subset Of Downstream Meters
 Restoration Verification
– Ping A Random (Or Requested) Subset Of Downstream Meters
– Track Number of Power-Up Messages Received vs. Expected
– Nested Outage & Partial Restoration Verification
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Distributed Grid Features
Grid Visualization
• Grid
Monitoring
(Alarms/events)
• Load &
Renewable
forecasting
• Operational
Planning
Grid Optimization
• Optimized
Switching
Reconfiguration
• Volt-VAR
Optimization
DER Optimization
• Load Balancing
• Economic
Commitment
• Demand response
• Grid-connected &
Islanded operation
Real-Time Network Model
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Data analytics
The key to operational excellence and better customer service
Key areas of focus: (continued)
 Customer service with increased customer information via analytics
means utilities can more accurately target specific programs to specific
customers, which will greatly increase customer satisfaction with the utility.
 More targeted program design, ensuring maximum benefit from adoption
and execution for energy efficiency and demand response
 For utilities, this means a recruiting focus on a new type of employee: one
with analytics skills.
 New models of deployment of analytics solutions, and in a non
competitive market this includes information sharing, ideal for cloud
deployments
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Example: Big Data Analytics
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Social Interaction
Customers will expect, and Utilities will require interactions to be
targeted, timely and transparent
Key areas of focus:
 Ensuring utilities can optimally segment their customers to ensure the right
messages arrive at the right customers (for Outages, DSM, Pricing etc.)
 Giving information to customers at the right time so they can quickly make
informed decisions, easily.
 Customers are increasingly relying on newer communication channels.
– Email is on the decline
– SMS has limited capability but effective for some scenarios
– Mobile apps/Mobile web provide functional richness
– Social network tools (Facebook/Twitter) provide both outbound and inbound
comunication and customer ‘mood’ insights on a mass scale.
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The Road Ahead . . . Change is Inevitable
We believe Smart Grid is about managing and
leveraging lots of real-time information to
 drive safe, reliable, and cost-effective utility
performance
 engage customers with consumer energy choices that
improves overall satisfaction and performance
Utilities of the future will have comprehensive,
integrated, and scalable Smart Utility Platform that
will maximize their smart grid investments.
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