DER Integration Testbed at a Glance
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The document discusses the Distributed Energy Resources (DER) Integration Testbed, which aims to address challenges posed by integrating renewable sources like solar and wind into the traditional power grid. It highlights the testbed's capabilities in managing DER penetration, providing a framework for real-time control, safety, and visibility of smart grid operations. The initiative showcases collaboration among various technology partners to develop an interoperable environment that supports flexible business models and advanced analytics for future grid solutions.
DER Integration Testbed at a Glance
- 1. Now incorporating OpenFog Distributed Energy Resources Integration Testbed
- 2. Elevator Pitch For traditional power grid users and suppliers who need to demonstrate regional or discrete grid resiliency and control, our Distributed Energy Resources (DER) Integration Testbed provides a framework that manages increasing DER penetration. 2
- 3. The history and nature of the traditional power grid is large-scale, bulk power generation concentrated at large power plants. The addition of DER (solar and wind) creates difficult control, subsystem management and safety challenges. The Problem 3 Managing power generation sources Installations of renewable energy sources creates difficult control and safety situations Dynamic load/power balancing Emergence of new renewable energy sources presents challenging power balancing requirements Varying grades of power quality (AC/DC) Communications and control for edge control & management needs are unique to each grid and difficult to manage
- 4. Impact of the Problem 4 “Downstream” power sources create safety and subsystem challenges: overloaded storage, main grid reconnection issues Lack of grid synchronization can cause inconvenient blackouts Distributed renewable resources leads to power quality issues and downtime
- 5. The DER Integration Testbed provides a simulated smart grid microcosm demonstrating many technologies and protocols: Data Distribution Service (DDS), Open Field Message Bus (OpenFMB), Time-Sensitive Networks (TSN), advanced analytics and how they can be combined and deployed in the field. The Solution 5 Demonstrates testbed applicability & visibility Proves the viability of a real-time, secure distributed control architecture for real world microgrid and DER applications Offers access to new technologies and protocols TSN, DDS and OpenFMB are available for testing Creates open marketplace & strategy for the future Moving to a larger field deployment and increasing size and scope of the infrastructure in the Lab environment
- 6. National Instrument’s SyncInverter • Synchronized Voltage sources • Grid-forming • A 1st class citizen in “Smart Energy” IEEE Time Sensitive Networking • Voltage and Phase is broadcast on standard, deterministic, high speed Ethernet Wipro’s Cognitive Energy Intelligence (CEI) • Visualization to monitor and control Microgrid • Advanced analytics to forecast load & generation • Battery optimization based on forecast & market • Integration with utility systems & external data • Flexibility to implement various use cases. RTI’s Data Distribution Service (DDS) • Per-Data Topic Security • Data-centric access control • Multicast and non-repudiation support • 100% standard complaint • Flexible and Rich RTI Connext Suite Open Field Message Bus (OpenFMBTM) • Reference architecture for distributed intelligence and grid-edge interoperability • Industry Standard Data Model (harmonized with IEC 61850) • Support fast and flexible integration of renewables and storage Technologies
- 7. Progress Report 7 2015 Testbed Approved • PoC of edge communication and control to manage and control a simple microgrid 2016 Extending the Testbed • Aligned with IIRA Layered Databus Architecture Pattern • TSN-based, distributed control scheme for 100% renewable energy source microgrid World Economic Forum • Featured testbed at WEF 2017 Permanent Installation • Installed at NI’s Industrial IoT Lab • February 2017 ribbon-cutting PoC and Commercial- ization • Working with additional partners to flesh out end-to-end solution • Ramping up marketing of the testbed and solution
- 8. The Team 8 Cisco Testbed Lead RTI Testbed Lead Wipro Testbed Lead Logo Logo + Various Energy Providers
- 9. What’s next? 9 Activity Timeline Contributing back to power industry standard (Open FMB), managed by SEPA Ongoing Smart Grid Interoperability Panel (SGIP) is using the IISF for secure version of specifications Ongoing Integration of additional analytics, security and other testbed solutions Ongoing In-field deployment with multiple utilities and DER management organizations Ongoing Architecture for aggregation of multiple microgrids Ongoing Have questions about this testbed? Send an email to [email protected]
- 10. “Talking about interoperable, framework for smart grid applications is one thing, but having a plug-and-play test environment is invaluable. There are so many layers of technologies involved that even experts are continuing to learn and evolve. The testbed dramatically reduces risk.” BRETT MURPHY, SENIOR DIRECTOR, MARKET DEVELOPMENT, INDUSTRIAL IOT, REAL-TIME INNOVATIONS The Problem Distributed Energy Resources Integration Testbed Our Solution Team The DER Integration Testbed deployment instance at NI’s Industrial IoT Lab provides a simulated smart grid microcosm demonstrating many technologies and protocols: Data Distribution Service (DDS), Open Field Message Bus (OpenFMB), TSN, Cloud based analytics that can combine third-party data to create a 100% renewable yet flexible grid. • RTI • Wipro • Cisco • Various energy providers Key Benefits • Demonstrate credibility & visibility • Offers access to new technologies and protocols • Create dynamic, open market place capable of supporting flexible business models. • Help break the standards blockage holding back the industry 10 The history and nature of the traditional power grid is large-scale, bulk power generation concentrated at large power plants. The addition of distributed renewable resources (solar and wind) creates difficult control, subsystem management and safety challenges.
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