Power utilities worldwide are looking for ways to extend the life of in-field assets while also improving service levels to power subscribers. Existing energy infrastructure deployed across our nation is largely composed of assets with extremely limited communication capabilities based on SCADA protocols, such as DNP3. By the end of 2024, over $7 trillion of infrastructure upgrades will be required. These challenges can be addressed with smarter distribution grids that control and monitor assets down to the level of neighborhoods and individual homes. These smart grids incorporate military-grade securable protocols and hardened architectures. They use hygiene services and bi-directional conversion to Data Distribution Service (DDS) software for all internal and intra-network signalling. And they source intelligence in nodes with continued secure communications to existing operational management systems. The result is distributed management, distributed intelligence and distributed security for high resolution analysis, implementation of evolving policy controls and reasonable price to performance ratio (IRR). This webinar, co-hosted by RTI and LocalGrid, will discuss the evolution and benefits of smart grids, as well as advancements such as: Localized control rather than centralized protocol hygiene (energy firewalls) Analytics and policy control rather than just security Over the air DDS-assisted updates to change duty cycle and capabilities, and reduce service costs Mesh-/fabric-based network topologies for self-healing, fault-tolerant networks (multi-master topologies) Verification of DR compliance using DDS On Demand: http://ecast.opensystemsmedia.com/443

1. Your systems. Working as one.
DDS: Enabling Smarter Distribution Grids
David Barnett | david@rti.com | @rtidavid
December 12, 2013

2. Centralized Monitoring and Control
• Constrains volume of
real‑time data that can
be analyzed
• Doesn’t scale (cost, tech)
– Capacity of network links
– Servers
• Poor latency
• Single point of failure
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– More sensors
– Distributed generation
• Limits efficiency,
responsiveness
– Demand response
– Fault isolation, correction
– Predictive maintenance
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3. Other Impediments to Modernization
• Protocols galore
– SCADA, DNP3, IEC 61850, C37.118, proprietary
– Expensive app development and integration
• Security
ICS-CERT Incidence Reponses
October 2012 through May 2013
Source: DHS
ICS-CERT Monitor
April/May/June 2013
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4. Data Distribution Service (DDS)
• Software “data bus”
• Distributes data where its needed, when its needed
• Completely decentralized
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5. DDS Connects Applications and Devices
Real-Time
Real-Time
Analytics &
Analytics &
Control
Control
Operator HMI
Operator HMI
IT, Cloud
IT, Cloud
Integration
Integration
Network
Sensors
Sensors
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Actuators
Actuators
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6. DDS and the Internet of Things
Web Services and Business Apps
Business Intelligence
Collect
Real-Time/Autonomous Monitoring & Control
Devices and Intelligent Systems
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7. DDS Supports New and Existing Assets
Existing App
or Device
DDS
API
New or
Updated App
DNP3, proprietary, etc.
DDS Library
Network Stack
DDS Adapter
Network Stack
DDS-RTPS Wire Interoperability Protocol
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8. Open Standard
Cross-vendor portability
DDS API (Application
Programming Interface)
DDS Middleware
• Managed by Object
Management Group (OMG)
• 10+ implementations
• Designed for real-time,
embedded, mission critical
DDS Real-Time
Publish-Subscribe
Wire Protocol (RTPS)
Cross-vendor interoperability
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9. Simple Yet Powerful Paradigm
Source
(Key)
Speed
Power
Phase
WPT1
37.4
122.0
-12.20
WPT2
10.7
74.0
-12.23
WPTN
50.2
150.07
-11.98
• Applications write (publish)
and read (subscribe) data
• Like a database but for
data in motion
• DDS automatically routes
data between publishers
and subscribers
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• Data: raw, processed or
commands
• Decoupling: apps require no
awareness of source or destination
• Normalized data model
• Extensive Quality of Service
control
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10. Decentralized Architecture
App
App
App
App
App
App
DDS
DDS
DDS
DDS
DDS
DDS
• Peer-to-peer communication
– No centralized software, servers or message brokers
• Minimizes software infrastructure that has to be
deployed and managed
• No single point of failure or choke point
• Very low latency, high throughput, scalable
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11. Broad Interoperability for
Heterogeneous Systems
• Programming languages and
environments
• Processor families
– x86, ARM, PowerPC
– 32- and 64-bit
– C, C++, C#/.NET, Java, Ada
– REST/HTTP
• Transport types
– LabVIEW, MATLAB, Simulink, UML
– Shared memory
• Operating systems
– LAN (incl. multicast)
– Windows, Linux, Unix, Mac OS
– WAN
– Embedded, real time, partitioned
– Wireless
– Mobile
– Low bandwidth
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12. Automatic Discovery Enables
Autonomous Systems
•
•
•
•
Plug and play, self forming, self healing
No system administration required
Automatic failover
Apps and devices are dynamically upgradeable
– Never have to restart an entire system
• Apps can be notified when data sources/sinks
join/leave (presence)
Hello!
Hello!
Unicast or multicast
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13. Minimizes and Optimizes Bandwidth
Real-Time
Real-Time
Analytics &&
Analytics
Control
Control
Operator
Operator
HMI
HMI
DDS
DDS
Routing
Routing
Service
Service
DDS
DDS
Routing
Routing
Service
Service
Real-Time
Real-Time
Analytics &&
Analytics
Control
Control
Sensors
Sensors
Sensors
Sensors
•
•
•
•
•
•
Operator
Operator
HMI
HMI
Actuators
Actuators
Actuators
Actuators
Fine grained subscription control: by time and content
Only subscribed data is sent within or between subnets
Most metadata exchanged only at discovery time
Efficient binary encoding
Optional data compression
Connectionless: tolerant of intermittent networks
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14. Secure
• Based on widely deployed OpenSSL
• FIPS 140 Level 1 certified
• Integrity, authentication and encryption
– Authentication: X.509 based
– Encryption: wide selection
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15. About RTI
• Communications middleware market leader
– Largest embedded middleware vendor*
– Over 70% commercial DDS market share *
• Standards leader
– Active in 15 standards efforts
– OMG Board of Directors
– DDS authors
• Maturity leader
– 600+ commercial designs
– 400+ research projects
Embedded Market Forecasters
and Venture Development Corp (VDC)
*
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16. Example Customer: Siemens Wind Power
• Farms of 500
turbines with
100m blades
• RTI enables fast
control within
turbines and
distributed gust
mitigation
across the array
• RTI will also
integrate with
predictive
maintenance
and business
diagnostics
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17. Summary
• Microgrids
– Key to grid
modernization
– Require a new
communications
architecture
• DDS provides the ideal
microgrid foundation
–
–
–
–
–
Decentralized
Scalable and efficient
Fault tolerant
Secure
Open
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18. Your systems. Working as one.
Thank You!