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Electromagnetic Compatibility & Smart Grid Interoperability Issues: EMII Working Group White Paper (pdf)
Release Date: December 5, 2012
This report introduces electromagnetic compatibility (EMC) as an integral process needed for the design of devices that are used in the operation of the Smart Grid, and is an output of the SGIP Electromagnetic Interoperability Issues Working Group (EMII WG). The report examines EMC issues for Smart Grid equipment on both the electric power system delivery and the power customer sides of the Smart Grid meter and summarizes recommendations for EMC standards.
NIST Smart Grid Advisory Committee Report (pdf)
Release Date: March 05, 2012
A Policy Framework for the 21st Century Grid: Enabling Our Secure Energy Future (pdf)
Release Date: June 13, 2011
This report outlines policy recommendations that build upon the Energy Independence and Security Act of 2007 and the Obama Administration's Smart Grid investments to foster long-term investment, job growth, innovation, and help consumers save money. The report was prepared by the Subcommittee on Smart Grid of the National Science and Technology Council, Committee on Technology
Report to NIST on the Smart Grid Interoperability Standards Roadmap
Release Date: June 2009
This report provides an Interim Roadmap for the development of the Interoperability Framework. It describes the current status, issues, and priorities for interoperability standards development and harmonization. The report also describes the high-level architecture for the smart grid including a conceptual model, architectural principles and methods and cyber security strategies.
Frameworks and Data Initiatives for Smart Grid and Cyber-Physical Systems (pdf)
Release Date: July 2, 2013
Presentation by Dr. David Wollman, Deputy Director, Smart Grid and Cyber-Physical Systems Program Office at July 2013 DEBS 2013 Conference
NIST Update- Grid Interop Meeting and Green Button Initiative (pdf)
Release Date: December 20, 2012
Presentation by Dr. David Wollman, Deputy Director, Smart Grid & Cyber-Physical Systems Program at the December 2012 Smart Grid Task Force Meeting
The Big Picture– Connecting the Dots Between Metrology, Standards and Conformity Assessment (pdf)
Release Date:November 28,2012
Presentation by Dr. David Wollman, Deputy Director, Smart Grid and Cyber-Physical Systems Program at the NIST Standards Coordination Office Workshop on Connecting Metrology, Standards, and Conformity Assessment at NIST and Beyond.
Working with Industry to Coordinate Development of Interoperability Standards (pdf)
Release Date: August 1, 2012
Presentation by Dr. David Wollman, Deputy Director, Smart Grid and Cyber-Physical Systems Program at the Asia Pacific Energy Regulatory Forum Conference.
NIST Smart Grid Interoperability Panel as a Paradigm for "Smart" Water Standards (pdf)
Release Date: June 20, 2012
Presentation by Dr. David Wollman,Deputy Director, Smart Grid and Cyber-Physical Systems Program at the Atlantic Council Watts to Water Workshop.
Smart Grid Overview (pdf)
Release Date: March 2, 2012
Presentation by Dr. George Arnold, Director, Smart Grid and Cyber-Physical Systems Program Office, National Coordinator for Smart Grid Interoperability NIST Engineering Laboratory for Sacramento State University.
Introducing Green Button (pdf)
Release Date: January 20, 2012
Presentation by Dr. David Wollman for the Association for Demand Response and Smart Grid Webinar.
NIST Smart Grid Activities (pdf)
Release Date: August 31, 2011
Presentation by Dr. George Arnold, National Coordinator for Smart Grid Interoperability Standards, NIST to House of representatives Science Committee staff members.
Smart Grid Interoperability Standards: Governance Perspective (pdf)
Release Date: June 9, 2011
Presentation by Dr. George Arnold, National Coordinator for Smart Grid Interoperability Standards, NIST at the National Strategy for Trusted Identities in Cyberspace (NSTIC) Workshop.
NIST Smart Grid Program Overview (pdf)
Release Date: May 17, 2011
Presentation by Dr. George Arnold, National Coordinator for Smart Grid Interoperability Standards, NIST to U.S. House of Representatives Science, Space and Technology Subcommittee on Technology and Innovation staffers.
NIST Smart Grid Program Overview (pdf)
Release Date: April 20, 2011
Presentation by David Wollman of the NIST Smart Grid Team to the Federal Smart Grid Task Force.
Remarks to the Federal Energy Regulatory Commission (pdf)
Release Date: January 31, 2011
Presentation by Dr. George Arnold, National Coordinator for Smart Grid Interoperability Standards, Technical Conference on Smart Grid Interoperability Standards.
The Smart Grid and Consumer Electronics (pdf)
Release Date: January 10, 2011
Presentation by Dr. George Arnold, National Coordinator for Smart Grid Interoperability Standards, NIST to the World Electronics Forum.
Remarks to the IEEE Conference on Smart Grid Communication (pdf)
Release Date: October 4, 2010
Presentation by Aneesh Chopra, U.S. Chief technology Officer & Associate Director for Technology, White House Office of Science and Technology Policy
Smart Grid Domestic and International Partnerships and Programs (pdf)
Release Date: July 20, 2010
Presentation by Shannon Fraser, Office of Energy and Environmental Industries, International Trade Administration, U.S. Department of Commerce.
Documentary Standards Update: Smart Grid (pdf)
Release Date: June 8-9, 2010
Presentation by Dr. George Arnold, National Coordinator for Smart Grid Interoperability Standards, NIST to the Visiting Committee on Advanced Technology
NIST Technical Note 1654:Regarding Electric Energy Savings, Power Factors, and Carbon Footprints: A Primer
Release Date: October 2009
A short primer is presented which describes the underlying physical theory of certain devices that reduce the current drawn from power distribution lines by improving the power factor of residential electric circuits. A brief discussion is provided of the associated energy savings, change in power factor, and reduction of "carbon footprint."
Performance Evaluation of Phasor Measurement Systems
Release Date: July 2008
After two decades of phasor network deployment, phasor measurements are now available at many major substations and power plants. The North American SynchroPhasor Initiative (NASPI), supported by the US Department of Energy and the North American Electric Reliability Corporation (NERC), provides a forum to facilitate cultivating the efforts in phasor technology in North America and globally. Phasor applications have been explored and some are in today's utility practice. The IEEE C37.118 Standard is a milestone in standardizing phasor measurements and defining performance requirements. To comply with the IEEE C37.118 and to better understand the impact of phasor quality on applications, the NASPI Performance and Standards Task Team (PSTT) has prepared two additional comprehensive documents which leverage prior industry work (esp. in WECC) and international experience. The first document below (January 2008) describes PMU testing based on both IEEE C37.118 requirements and required dynamic performance tests. The second document below (June 2007) describes characterization of PMUs and instrumentation channels based on practical information. This paper summarizes the accomplished PSTT work and presents the methods for phasor measurement evaluation to assure consistent PMU system performance.
Reference Values for Dynamic Calibration of PMUs
Release Date: January 2008
This paper discusses measurements of the dynamic performance of electric power Phasor Measurement Units, PMUs, and their relation to the requirements of the IEEE Synchrophasor Standard C37.118-2005. In particular, it proposes a new method for monitoring the dynamic power signals that change in amplitude and frequency during the testing of PMUs. The new method estimates the reference values for dynamic power signals so they can be compared with the PMU values to determine the PMUs errors. This requires estimating the true time stamped values of dynamic power signals with low uncertainty. The paper also discusses the issue of aliasing of sampled dynamic signals, and the relationship between the requirement in the Standard to reject an out of band or interharmonic signal and dynamic signal performance.
Dynamic Phasor Measurement Unit Test System
Release Date: June 2007
This paper presents the plans and progress towards the development of a dynamic phasor measurement unit (PMU) performance test system at NIST. We describe an algorithm for taking time-synchronized samples of single-phase voltage and current power signals and calculating their dynamic parameters, in particular the signal magnitude, phase, frequency, and rate of change of frequency that a PMU reports. PMUs must time stamp their values at periodic Coordinated Universal Time (UTC) markers called the update times. Thus, to provide a reference for PMU testing the sampled data can be fit to a model to define the value of a dynamic parameter at a specific time. The analysis model proposed in this paper assumes that the dynamic magnitude and frequency parameters of the signals are constant over the sampling interval analyzed. This analysis interval is usually the same as the update period or an integer multiple of that period. In the proposed analysis model the dynamic magnitude and frequency parameters are considered a polynomial in time about the update times. The order of the polynomial can be adjusted in a way that meets the needs of the signal being analyzed, yet minimizes the computational effort and sensitivity to noise. We show that when the dynamic variations are analyzed in this way, a single matrix can be used to iteratively converge on a good estimate of the dynamic frequency and magnitude parameters. The polynomial model can be used to generate and analyze test signals. Several test patterns are proposed, which include linearly changing magnitudes or frequencies. As expected, during low voltage tests of the system, the analysis does very well when the generation model matches the analysis model. Several other generation models are also proposed, such as sine waves or damped sine waves. The proposed analysis model is shown to be very accurate in these cases as well.