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Is Your Power Utility Smart Enough to Survive Another Decade
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Is Your Power Utility Smart Enough to Survive Another Decade

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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 …

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

Published in: Technology, Business

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  • 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 December 12, 2013 – More sensors – Distributed generation • Limits efficiency, responsiveness – Demand response – Fault isolation, correction – Predictive maintenance © 2013 RTI 2
  • 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 December 12, 2013 © 2013 RTI 3
  • 4. Data Distribution Service (DDS) • Software “data bus” • Distributes data where its needed, when its needed • Completely decentralized December 12, 2013 © 2013 RTI 4
  • 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 December 12, 2013 Actuators Actuators © 2013 RTI 5
  • 6. DDS and the Internet of Things Web Services and Business Apps Business Intelligence Collect Real-Time/Autonomous Monitoring & Control Devices and Intelligent Systems December 12, 2013 © 2013 RTI 6
  • 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 December 12, 2013 © 2013 RTI 7
  • 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 December 12, 2013 © 2013 RTI 8
  • 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 December 12, 2013 • Data: raw, processed or commands • Decoupling: apps require no awareness of source or destination • Normalized data model • Extensive Quality of Service control © 2013 RTI 9
  • 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 December 12, 2013 © 2013 RTI 10
  • 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 December 12, 2013 © 2013 RTI 11
  • 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 December 12, 2013 © 2013 RTI 12
  • 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 December 12, 2013 © 2013 RTI 13
  • 14. Secure • Based on widely deployed OpenSSL • FIPS 140 Level 1 certified • Integrity, authentication and encryption – Authentication: X.509 based – Encryption: wide selection December 12, 2013 © 2013 RTI 14
  • 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) * December 12, 2013 © 2013 RTI 15
  • 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 December 12, 2013 © 2013 RTI 16
  • 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 December 12, 2013 © 2013 RTI 17
  • 18. Your systems. Working as one. Thank You!