Renewable Energy and Distributed Systems Integration

Renewable Energy and Distributed Systems Integration 2018-10-23T14:38:17+00:00

Sandia conducts multi-disciplinary R&D on technologies that will enable grid modernization and large-scale deployment of renewable and distributed energy resources.

Addressing the Challenges

The rapid deployment of renewable and distributed energy resources means that prosumers and utilities have more options to manage energy production, distribution, and consumption. Fundamental changes are needed to ensure that this grid transformation results in a more reliable, resilient, flexible, secure, and efficient electric system. Sandia’s Renewable and Distributed Systems Integration R&D Program contributes to achieving this vision by developing and validating solutions related to modeling and simulation, power electronics, controls, protection, interoperability, cybersecurity, safety, reliability and related standards, in the context of interconnected systems and microgrids.

State-of-the-Art R&D Platforms

Sandia maintains integrated laboratory facilities, including the Distributed Energy Technologies Laboratory (DETL), Control & Optimization of Networked Energy Technologies (CONET) Laboratory, and Secure and Scalable Microgrid (SSM) Testbed, to evaluate and optimize performance, reliability, and safety of renewable and distributed energy resources under real-world conditions. Integrating actual, emulated, and simulated components, controls, and networks, Sandia’s R&D platforms can be used to analyze a wide variety of scenarios relevant to civilian and military applications.

Featured Projects

Solar PV Integration

GridPV Toolbox is a fully-documented set of Matlab functions that can be used to build distribution grid performance models using the open source distribution modeling tool OpenDSS. The GridPV functions are useful for interfacing OpenDSS and Matlab to perform sophisticated analyses and graphically representing information from simulations. A set of functions is also included for modeling PV plant output in the OpenDSS simulation.

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Funded by the DOE Sunshot program, this project will help utility companies better visualize, manage, and protect power systems as they include increasing numbers of distributed energy resources such as wind and solar by creating open-source advanced distribution management system (ADMS) algorithms.

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This project analyzes expected availability and response time metrics for distributed solar, develops cyber security architectures, and evaluates promising approaches with hardware in-the-loop experiments.

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Quasi-static time series (QSTS) is needed to simulate and understand interactions of PV variability and the benefits of smart grid controls. This project will accelerate QSTS simulation capabilities through new and innovative methods for advanced time-series analysis. Sandia has pioneered computationally efficient and scalable QSTS power flow and stochastic analysis techniques to analyze high-penetration of distributed energy resources in distribution feeders.

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With national and international partners, Sandia leads working groups for multiple collaborations, including the Smart Grid International Research Facility Network (SIRFN) within the International Smart Grid Action Network (ISGAN); IEEE 1547; UL 1741; and Smart Grid Interoperable Panel (SGIP).

Learn more about Sandia’s work on advanced microgrids.

Grid Modernization

Seeking to obtain 90% of the state’s energy from renewable sources by 2050, the State of Vermont and its electric utilities turned to Sandia for technical support and analysis to improve load forecasting and model and optimize the integration of distributed energy resources and energy storage. This project used an integrated approach to enable the high penetration of renewables at the distribution level and will serve as a template for other utilities across the United States.

The automated system validation platform (SVP) quickly determines the performance of distributed energy resources equipment for a range of interoperable and interconnection functions. This technology has been developed under a Cooperative Research and Development Agreement with the SunSpec Alliance and is used by labs across the globe in the Smart Grid International Research Facility Network (SIRFN) project.

This project provides utilities, grid operators, and distributed energy resource aggregators with a greater capacity to provide voltage and frequency regulation and other grid support functions by aggregating distributed energy resources into secure, reliable virtual power plants (VPP). The VPP optimizes distributed energy resource dispatch and real-time control under high uncertainty.

Resources

Fundamentals of Microgrid Analysis and Design Workshop Coming to the U.S. Virgin Islands

In October, Sandia National Laboratories will present two workshops on energy assurance and advanced microgrid design. The workshops, based on Sandia’s Energy Assurance and Advanced Microgrid Conceptual Design Course, will include background information, technical discussion, [...]

Explore the Electric Grid of the Future

August 10th is the deadline to register for The Grid of the Future Workshop hosted by Sandia National Laboratories on August 22, 2018, in Albuquerque, NM. This one-day workshop will gather experts from various fields [...]

Upcoming Webinar: Distributed Control for Improving Power System Stability

On April 12, 2018 at 1:00 p.m. ET, Sandia’s David Copp will present an IEEE Smart Grid Webinar: “Distributed Control for Improving Power System Stability.” Power systems consist of many components distributed across wide geographic [...]

Sandia’s Energy Programs Organize Three Symposia at Spring MRS Symposium, April 2-6

Researchers from Sandia’s energy programs have organized three symposia for the 2018 MRS Spring Meeting in Phoenix, AZ. The symposia sessions will discuss topics that include flow batteries for grid energy storage, harvesting natural and [...]

2018

A. Monti, M. Stevic, S. Vogel, R. W. De Doncker, E. Bompard, A. Estebsari, F. Profumo, R. Hovsapian, M. Mohanpurkar, and J. D. Flicker, “A Global Real-Time Superlab: Enabling High Penetration of Power Electronics in the Electric Grid,” IEEE Power Electronics Magazine, vol. 5, no. 3, pp. 35-44, 2018.

Anya Castillo, Jack Flicker, Clifford W. Hansen, Jean-Paul Watson, and Jay Johnson. “Stochastic Optimization with Risk Aversion for Virtual Power Plant Operations: A Rolling Horizon Control”. IET Research Journals (in press).

Blakely, M. J. Reno, R. J. Broderick (2018), Decision Tree Ensemble Machine Learning for Rapid QSTS Simulations.

C. Birk Jones, Cedric Carter, Zachary Thomas, “Intrusion Detection & Response using an Unsupervised Artificial Neural Network on a Single Board Computer for Building Control Resilience“, Resilience Week (RWS) 2018, pp. 31-37, 2018.

Deboever, S. Grijalva, M. J. Reno, and R. J. Broderick (2018), Algorithms to Effectively Quantize Scenarios for PV Impact Analysis using QSTS Simulation.

F. Wilches-Bernal, R. Concepcion, J. Johnson, R.H. Byrne, “Vulnerability Assessment of Frequency Regulation Control Schemes for Converter-Interfaced Generators,” IEEE PES General Meeting, Chicago, IL, 16-20 July 2018.

Ian Gravagne, Ross Guttromson, Jon Berg, Jonathan White, Felipe Wilches-Bernal, Adam Summers, Dave Schoenwald, Mark Harral (2018). Use and Testing of a Wind Turbine for the Supply of Balancing Reserves and Wide-Area Grid Stability. SAND2018-7178.

J. Flicker and G. Tamizhmani. “Co-located Accelerated Testing of Module Level Power Electronics and Associated PV Panels”. 7th World Photovoltaic Energy Conversion, Waikoloa, HI (in press).

J. Hernandez-Alvidrez, A. Summers, N. Pragallapati, M. J. Reno, S. Ranade, J. Johnson, S. Brahma, and J. Quiroz, “PV-Inverter Dynamic Model Validation and Comparison Under Fault Scenarios Using a Power Hardware-in-the-Loop Testbed”, IEEE 7th World Conference on Photovoltaic Energy Conference (WCPEC), Waikoloa, Hawaii, June 10-15, 2018.

J. Johnson, et al., “International Development of a Distributed Energy Resource Test Platform for Electrical and Interoperability Certification,” 7th World Conference on Photovoltaic Energy Conversion (WCPEC-7), Waikoloa, HI, 10-15 Jun 2018.

J. Johnson, R. Ablinger, R. Bruendlinger, B. Fox, and J. Flicker, “Interconnection Standard Grid-Support Function Evaluations using an Automated Hardware-in-the-Loop Testbed,” IEEE Journal of Photovoltaics, vol. 8, no. 2, pp. 565-571, 2018.

J. Reno and B. Mather (2018), Variable Time-Step Implementation for Rapid Quasi-Static Time-Series (QSTS) Simulations of Distributed PV.

J. Stewart, J. Richards, J. Delhotal, J. Neely, J. Flicker, R. Brocato, and L. Rashkin, “Design and evaluation of hybrid switched capacitor converters for high voltage, high power density applications,” in 2018 IEEE Applied Power Electronics Conference and Exposition (APEC), San Antonio, TX, pp. 105-112.

J. Stöckl, Z. Miletic, R. Bründlinger, J. Schulz, R. Ablinger, W. Tremmel, J. Johnson, “Pre-evaluation of grid-code compliance for power electronics inverter systems in low-voltage smart grids,” 20th European Conference on Power Electronics and Applications, Riga, Latvia, 17-21 Sept 2018 (submitted).

Jack D. Flicker, Olga Lavrova, Jimmy E. Quiroz, Tim Zgonena, Hai Jiang, Kent Whitfield, Kenneth Boyce, Paul Courtney, John Carr, Paul Brazis. “Hazard Analysis of Fire Fighter Interactions with Photovoltaic Arrays”. 7th World Photovoltaic Energy Conversion, Waikoloa, HI (in press).

M. Lave, M. J. Reno, and R. J. Broderick (2018), Implementation of Synthetic Cloud Fields for PV Modeling in Distribution Grid Simulations.

Li, B. Mather, J. Deboever, M. J. Reno (2018), A Fast Quasi-Static Time Series Simulation Method for PV Smart Inverters with Var Control using Linear Sensitivity Model.

M. Ropp, C. Mouw, D. Schutz, S. Perlenfein, S. Gonzalez, A. Ellis (2018). Unintentional Islanding Detection Performance with Mixed DER Types, SAND2018-8431.

M. U. Qureshi, S. Grijalva, M. J. Reno, J. Deboever, X. Zhang, and R J. Broderick (2018), A Fast Scalable Quasi-Static Time Series Analysis Method for PV Impact Studies using Linear Sensitivity Model.

Matthew Lave, Matthew J. Reno, Robert J. Broderick. Implementation of Synthetic Cloud Fields for PV Modeling in Distribution Grid Simulations in proceedings of the 2018 IEEE 45th Photovoltaic Specialist Conference (PVSC), SAND 2018-6325C.

Matthew Lave. gridPULSE: Public User Library for Systems Evaluation to Accelerate Grid Modernization in proceedings of the 2018 IEEE 45th Photovoltaic Specialist Conference (PVSC), SAND 2018-6192C.

O. Slobodyan, T. Smith, J. Flicker, S. Sandoval, C. Matthews, M. van Heukelom, R. Kaplar, and S. Atcitty, “Hard-switching reliability studies of 1200 V vertical GaN PiN diodes,” MRS Communications, pp. 1-5, 2018.

R. Darbali-Zamora, J. Hernández-Alvidrez, J. E. Quiroz, A. Summers, J. Johnson and E.I. Ortiz-Rivera, “PV Inverter Power Injection Using an Exponential Photovoltaic Model in Combination with a Phase Locked Loop for Real-Time Power Hardware-in-the-Loop Applications,” ANDESCON, Cali, Columbia, 22-24 Aug 2018.

R. Darbali-Zamora, J.E. Quiroz, J. Hernandez-Alvidrez, J. Johnson, E.I. Ortiz-Rivera, “Validation of a Real-Time Power Hardware-in-the-Loop Distribution Circuit Simulations with Renewable Energy Sources,” 7th World Conference on Photovoltaic Energy Conversion (WCPEC-7), Waikoloa, HI, 10-15 Jun 2018.

R. Darbali-Zamora, J.E. Quiroz, J. Hernandez-Alvidrez, J. Johnson, E.I. Ortiz-Rivera, “Implementation of a Dynamic Real Time Grid-Connected DC Microgrid Simulation Model for Power Management in Small Communities,” 7th World Conference on Photovoltaic Energy Conversion (WCPEC-7), Waikoloa, HI, 10-15 Jun 2018.

Ross Guttromson, Jonathan White, Jon Berg, Felipe Wilches-Bernal, Cliff Hansen, Josh Paquette, Ian Gravagne (2018). Use of Wind Turbine Kinetic Energy to Supply Transmission Level Services. SAND2018-3200.

S. Gonzalez, N. Gurule, M. J. Reno, J. Johnson, “Fault Current Experimental Results of Photovoltaic Inverters Operating with Grid-Support Functionality,” 7th World Conference on Photovoltaic Energy Conversion (WCPEC-7), Waikoloa, HI, 10-15 Jun 2018.

S. Roy, M. K. Alam, F. Khan, J. Johnson, and J. Flicker, “An Irradiance-Independent, Robust Ground-Fault Detection Scheme for PV Arrays Based on Spread Spectrum Time-Domain Reflectometry (SSTDR),” IEEE Transactions on Power Electronics, vol. 33, no. 8, pp. 7046-7057, 2018.

S. Roy, M.K. Alam, F.H. Khan, J. Johnson, J. Flicker, “An Irradiance Independent, Robust Ground Fault Detection Scheme for PV Arrays Based on Spread Spectrum Time Domain Reflectometry (SSTDR),” IEEE Transactions on Power Electronics, vol. 33, no. 8, pp. 7046-7057, Aug. 2018. doi: 10.1109/TPEL.2017.2755592

Sai Tatapudi, Jack Flicker, Devarajan Srinivasan, Jigeesha Upadhyaya, Kabilan Selvarangan, Lakshmi Nadakumar, Joswin Leslie, Govindasamy Tamizhmani. “Design of Experimental Test Setup for Large-scale Reliability Evaluation of Module Level Power Electronics (MLPE)”. 7th World Photovoltaic Energy Conversion, Waikoloa, HI (in press).

Z. K. Pecenak, V. R. Disfani, M. J. Reno, and J. Kleissl (2018), Comprehensive Reduction of Multiphase Distribution Feeder Models.

2017

A. Hoke, A. Nelson, J. Tan, V. Gevorgian, C. Antonio, K. Fong, M. Elkhatib, J. Johnson, R. Mahmud, J. Neely, D. Arakawa, The Frequency-Watt Function: Simulation and Testing for the Hawaiian Electric Companies, Grid Modernization Laboratory Consortium (GMLC) Technical Report, July 2017.

A.P. Meliopoulos, G. Cokkinides, B. Xie, C. Zhong, J. Johnson, “Full State Feedback Control for Virtual Power Plants,” Sandia Technical Report, SAND2017-10178, September 2017.

C. B. Jones, M. Lave, J. Johnson, R. Broderick, “Demand Response of Electric Hot Water Heaters for Increased Integration of Solar PV,” IEEE PVSC, Washington, DC, 25-30 Jun 2017.

Birk Jones, C. Carter “Trusted Interconnections Between a Centralized Controller and Commercial Building HVAC Systems for Reliable Demand Response” IEEE Access vol. 5 pp. 11063-11073 2017.

C. Carter, I. Onunkwo, P. Cordeiro, J. Johnson, “Cyber Security Assessments of Distributed Energy Resources,” IEEE PVSC, Washington, DC, 25-30 Jun 2017.

C. Lai, N. Jacobs, S. Hossain-McKenzie, C. Carter, P. Cordeiro, I. Onunkwo, J. Johnson (2017) Cyber Security Primer for DER Vendors, Aggregators, and Grid Operators, SAND2017-13113.

Dan Selorm Kwami Ameme, and Ross Guttromson (2017). Stochastic Characterization of Communication Network Latency for Wide Area Grid Control Applications. SAND2017-12578.

Deboever, J., Zhang, X., Reno, M.J., Broderick, R.J., Grijalva, S., Therrien, F. (2017). Challenges in reducing the computational time of QSTS simulations for distribution system analysis. Albuquerque, NM, Sandia National Laboratories. SAND2017-5743.

Deboever, S. Grijalva, M. J. Reno, X. Zhang, and R. J. Broderick (2017), Scalability of the Vector Quantization Approach for Fast QSTS Simulation for PV Impact Studies.

Galtieri, M. J. Reno (2017), Intelligent Sampling of Periods for Reduced Computational Time of Time Series Analysis of PV Impacts on the Distribution System.

J. Deboever, X. Zhang, M. J. Reno, R. J. Broderick, S. Grijalva, and F. Therrien (2017), Challenges in reducing the computational time of QSTS simulations for distribution system analysis, SAND2017-5743.

J. Hernandez-Alvidrez, J. Johnson, “Parametric PV Grid-Support Function Characterization for Simulation Environments,” IEEE PVSC, Washington, DC, 25-30 June 2017.

J. Johnson, et al., “Design and Evaluation of a Secure Virtual Power Plant,” Sandia Technical Report, SAND2017-10177, September 2017.

J. Johnson, R. Ablinger, R. Bruendlinger, B. Fox, and J. Flicker, “Design and Evaluation of SunSpec-Compliant Smart Grid Controller with an Automated Hardware-in-the-Loop Testbed,” India Smart Grid Week, New Delhi, India, 7-11 Mar 2017.

J. Johnson, R. Ablinger, R. Bruendlinger, B. Fox, J. Flicker, “Design and Evaluation of SunSpec-Compliant Smart Grid Controller with an Automated Hardware-in-the-Loop Testbed,” Technology and Economics of Smart Grids and Sustainable Energy, vol. 2, no. 16, Dec. 2017. doi: 10.1007/s40866-017-0032-7

J. Johnson, R. Ablinger, R. Bruendlinger, B. Fox, J. Flicker, “Interconnection Standard Grid-Support Function Evaluations using an Automated Hardware-in-the-Loop Testbed,” IEEE PVSC, Washington, DC, 25-30 Jun 2017.

J. Johnson, S. Gonzalez, and D.B. Arnold, “Experimental Distribution Circuit Voltage Regulation using DER Power Factor, Volt-Var, and Extremum Seeking Control Methods,” IEEE PVSC, Washington, DC, 25-30 Jun 2017.

M. Reno and R. J. Broderick (2017), Predetermined Time-Step Solver for Rapid Quasi-Static Time Series (QSTS) of Distribution Systems.

M. Reno, J. Deboever, and B. Mather (2017), Motivation and Requirements for Quasi-Static Time Series (QSTS) for Distribution System Analysis.

M. Reno, R. J. Broderick, and L. Blakely (2017), Machine Learning for Rapid QSTS Simulations using Neural Networks.

Jay Johnson (2017), Roadmap for Photovoltaic Cyber Security, SAND2017-13262.

Lave, M. J. Reno, R. J. Broderick (2017), Creation and Value of Synthetic High-Frequency Solar Simulations for Distribution System QSTS Simulations.

M. El-Khatib, J. Johnson, and D. Schoenwald, “Virtual Power Plant Feedback Control Design for Fast and Reliable Energy Market and Contingency Reserve Dispatch,” IEEE PVSC, Washington, DC, 25-30 Jun 2017.

M. El-Khatib, J. Neely, and J. Johnson, “Evaluation of Fast-Frequency Response Functions in High Penetration Isolated Power Systems,” IEEE PVSC, Washington, DC, 25-30 Jun 2017.

Matthew Lave, Robert J. Broderick, and Matthew J. Reno. “Solar variability zones: Satellite-derived zones that represent high-frequency ground variability.” Solar Energy 151 (2017): 119-128.

Matthew Samuel Lave, Matthew J. Reno, and Robert Joseph Broderick. Creation and Value of Synthetic High-Frequency Solar Simulations for Distribution System QSTS Simulations. in proceedings of the 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), SAND2017-5646C.

Matthew Samuel Lave, Matthew J. Reno, Robert Joseph Broderick, and Jouni Peppanen. Full-Scale Demonstration of Distribution System Parameter Estimation to Improve Low-Voltage Circuit Models. in proceedings of the 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), SAND2017-6054C.

Matthew Samuel Lave, Robert Joseph Broderick, and Laurie Burnham. Targeted Evaluation of Utility-Scale and Distributed Solar Forecasting. in proceedings of the 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), SAND2017-5645C.

Montenegro, R. C. Dugan, and M. J. Reno (2017), Open Source Tools for High Performance Quasi-Static-Time-Series Simulation Using Parallel Processing.

Therrien, M. Belletête, J. Lacroix, and M. J. Reno (2017), Algorithmic Aspects of a Commercial-Grade Distribution System Load Flow Engine.

Z. K. Pecenak, V. R. Disfani, M. J. Reno, and J. Kleissl (2017), Multiphase Distribution Feeder Reduction.

Zhang, S. Grijalva, M. J. Reno, J. Deboever, and R. J. Broderick (2017), A Fast Quasi-Static Time Series (QSTS) Simulation Method for PV Impact Studies Using Voltage Sensitivities of Controllable Elements.

2016

Analysis to Inform CA Grid Integration Rules for PV: Final Report on Inverter Settings for Transmission and Distribution System Performance, EPRI, Technical Report 3002008300, 2016. SAND2016-9164R.

B. Seal, T. Tansy, B. Fox, A. Pochiraju, J. Johnson, J. Henry, F. Cleveland, W. Colavecchio, T. P. Zgonena, S. Hassell, B. Lydic, G. Lum, J. Sharp, C. Tschendel, E. Smith, T. Vargas, D. Hinds, J. McDonald, S. Robles “Final Report for CSI RD&D Solicitation #4 Standard Communication Interface and Certification Test Program for Smart Inverters,” June 2016.

S. Gonzalez, J. Johnson, M. J. Reno, and T. Zgonena, “Small Commercial Inverter Laboratory Evaluations of UL 1741 SA Grid-Support Function Response Times,” IEEE Photovoltaic Specialists Conference (PVSC), 2016. SAND2016-5329C.

H. Zhu, Z. Wang, S. McConnell, R.S. Balog, J. Johnson, “High Fidelity Replay Arc Fault Detection Testbed,” IEEE PVSC, Portland, OR, 5-10 June 2016.

J. Flicker, J. Johnson, “Photovoltaic Ground Fault Detection Recommendations for Array Safety and Operation,” Solar Energy, vol. 140, pp. 34-50, 15 Dec 2016. http://dx.doi.org/10.1016/j.solener.2016.10.017

J. Johnson, J. Neely, J. Delhotal, M. Lave, “Photovoltaic Frequency-Watt Curve Design for Frequency Regulation and Fast Contingency Reserves,” IEEE Journal of Photovoltaics, vol. 6, no. 6, pp. 1611-1618, Nov. 2016. doi: 10.1109/JPHOTOV.2016.2598275

J. Johnson, J. Neely, J. Delhotal, M. Lave, “Photovoltaic Frequency-Watt Curve Design for Fast Contingency Reserves,” IEEE PVSC, Portland, OR, 5-10 June 2016.

J. Peppanen, M. J. Reno, R. J. Broderick, and S. Grijalva, “Distribution System Low-Voltage Circuit Topology Estimation using Smart Metering Data,” IEEE PES Transmission & Distribution Conference & Exposition, 2016. SAND2015-6817 C.

J. Peppanen, M. J. Reno, Robert J. Broderick and S. Grijalva, “Distribution System Model Calibration with Big Data from AMI and PV Inverters”, in IEEE Transactions on Smart Grid, 2016. SAND2015-7431J.

M. Reno and R. J. Broderick, “Statistical Analysis of Feeder and Locational PV Hosting Capacity for 216 Feeders,” IEEE PES General Meeting, 2016. SAND2015-9712C.

M. Reno, J. E. Quiroz, O. Lavrova, and R. H. Byrne, Evaluation of Communication Requirements for Voltage Regulation Control with Advanced Inverters, North American Power Symposium, 2016. SAND2016-5147C.

M. Reno, M. Lave, J. E. Quiroz, and R. J. Broderick, “PV Ramp Rate Smoothing Using Energy Storage to Mitigate Increased Voltage Regulator Tapping,” IEEE Photovoltaic Specialists Conference (PVSC), 2016. SAND2016-5509C.

J. Seuss, M.J. Reno, M. Lave, R.J. Broderick, S. Grijalva, Multi-Objective Advanced Inverter Controls to Dispatch the Real and Reactive Power of Many Distributed PV Systems, SAND2016-0023.

J. Seuss, M. J. Reno, M. Lave, R. J. Broderick, and S. Grijalva, “Advanced Inverter Controls to Dispatch Distributed PV Systems,” IEEE Photovoltaic Specialists Conference (PVSC), 2016. SAND2016-4865C.

J. Seuss, M. J. Reno, R. J. Broderick, and S. Grijalva, “Analysis of PV Advanced Inverter Functions and Setpoints under Time Series Simulation,” Sandia National Laboratories, SAND2016-4856, 2016.

Jones, C. B., M. Martinez-Ramon, B. H. King, C. Carmignani and J. Stein (2016). Wondering what to blame? Turn PV performance assessments into maintenance action items through the deployment of learning algorithms embedded in a Raspberry Pi device. 43rd IEEE Photovoltaic Specialist Conference. Portland, OR. SAND2016-5875C.

Jones, C. B., M. Martınez-Ramonz, R. Smith, C. K. Carmignani, O. Lavrova and J. S. Stein (2016). Automatic Fault Classification of Photovoltaic Strings Based on an In-Situ IV Characterization System and a Gaussian Process Algorithm. 43rd IEEE Photovoltaic Specialist Conference. Portland, OR. SAND2016-5689C.

M. Lave, J. E. Quiroz, M. J. Reno, and R. J. Broderick, “High Temporal Resolution Load Variability Compared to PV Variability,” IEEE Photovoltaic Specialists Conference (PVSC), 2016. SAND2016-0596A.

M. Verga, R. Lazzari, J. Johnson, D. Rosewater, C. Messner, J. Hashimoto, SIRFN Draft Test Protocols for Advanced Battery Energy Storage System Interoperability Functions, ISGAN Annex #5 Discussion Paper, 2016.

B. Palmintier, R. Broderick, B. Mather, M. Coddington, K. Baker, F. Ding, M. Reno, M. Lave, and A. Bharatkumar, “On the Path to SunShot: Emerging Issues and Challenges in Integrating Solar with the Distribution System,” National Renewable Energy Laboratory, NREL/TP-5D00-65331, 2016. SAND2016-2524R.

J. Peppanen, M. J. Reno, R. J. Broderick, and S. Grijalva, “Secondary Circuit Model Generation Using Limited PV Measurements and Parameter Estimation,” IEEE PES General Meeting, 2016. SAND2015-10000C.

J. Peppanen, M. J. Reno, R. J. Broderick, and S. Grijalva, Secondary Circuit Model Creation and Validation with AMI and Transformer Measurements, North American Power Symposium, 2016. SAND2016-4702C.

J. Peppanen, M. J. Reno, X. Zhang, and S. Grijalva, Handling Bad or Missing Smart Meter Data through Advanced Data Imputation, IEEE Innovative Smart Grid Technologies Conference (ISGT), 2016. SAND2016-2510C.

R. J. Broderick, K. Munoz-Ramos, and M. J. Reno, “Accuracy of Clustering as a Method to Group Distribution Feeders by PV Hosting Capacity,” IEEE PES Transmission & Distribution Conference & Exposition, 2016. SAND2015-7820C.

Rylander, M. J. Reno, J. E. Quiroz, F. Ding, H. Li, R. J. Broderick, B. Mather, and J. Smith, “Methods to Determine Recommended Feeder-Wide Advanced Inverter Settings for Improving Distribution Performance,” IEEE Photovoltaic Specialists Conference (PVSC), 2016. SAND2016-4864C.

S. Gonzalez, J. Johnson, M. Reno, T. Zgonena, “Small Commercial Inverter Laboratory Evaluations of UL 1741 SA Grid-Support Function Response Times,” IEEE PVSC, Portland, OR, 5-10 June 2016.

2015

G. T. Klise, J. Balfour, A Best Practice for Developing Availability Guarantee Language in Photovoltaic (PV) O&M Agreements, SAND 2015-10223.

For additional information on the video above, read the Industry Spotlight Q&A with Jay Johnson.

Abraham Ellis | Ph: (505) 844-7717 | Renewable and Distributed Systems Integration Program Manager

Abraham Ellis oversees Sandia’s Renewable and Distributed Systems Integration program, encompassing a diverse portfolio of projects that support the DOE Grid Modernization Initiative and various DOE Technology Offices. He has expertise in system planning and operations, generator interconnection analysis and procedures, and modeling and simulation of renewable energy and flexible alternating current transmission system (FACTS). Dr. Ellis has chaired or contributed to NERC/IEEE/WECC committees and working groups developing models for renewable and distributed energy resources and updating reliability standards appropriate for renewable and distributed generation. Prior to Sandia, he worked at Public Service Company of New Mexico’s Transmission Planning and Operations department. Dr. Ellis graduated from New Mexico State University’s Electric Utility Management Program.

Ross Guttromson  | Ph: (505) 284-6096 | Transmission Stability with Emphasis on Renewable Energy Interactions

 Ross Guttromson  received his B.S.E.E. and M.S.E.E. degrees from Washington State University, and his Executive MBA degree from the University of Washington.  Ross is Principal Researcher in the area of Electric Power Systems at Sandia National Laboratories with focus on transmission operations and planning. Ross has held research and management positions at both Sandia National Labs and at the Pacific Northwest National Laboratory.  He was also with R.W. Beck and Westinghouse Power Corporation.  Mr. Guttromson served on the nuclear submarine USS Tautog (SSN 639), is a licensed Professional Engineer and a Senior Member of the IEEE.

Olga Lavrova | Ph: (505) 845-3166 | Systems Reliability, Manufacturing, and Diagnostics

Olga Lavrova is a principal member of technical staff at Sandia National Laboratories. Olga has performed groundbreaking work in power electronics, sensors and materials for grid applications. Currently, she leads a number of projects overseeing lifetime, reliability and survivability of traditional and renewable energy sources at Sandia. Previously, she was Professor at the Electrical and Computer Engineering Department at the University of New Mexico. Dr. Lavrova has been a PI on multiple DOE- and NSF-funded grants concentrating on fundamental semiconductor materials and devices operation, as well as their cost-effective, economical and practical deployment and grid integration. Dr. Lavrova has authored and co-authored more than 50 peer-reviewed publications and 6 US patents.

Robert “Bobby” Jeffers | Ph: (505) 845-8051 | Systems Scientist

Dr. Robert F. Jeffers is a Systems Scientist and Principal Member of the Technical Staff at Sandia National Laboratories, where he applies system dynamics and power engineering principles to diverse problems concerning the intersection between social, natural, and engineered systems. He is the technical lead for Sandia’s Urban Resilience Initiative which applies Sandia’s expertise in infrastructure modeling, resilience science, and economics to resilience problems at the city scale. Dr. Jeffers’s previous projects include specification of city-wide grid modernization portfolios designed to improve a community-focused and performance-based resilience metric. His current focus is on developing a process to better align community resilience strategies with electric utility investment planning. He is developing approaches to support utilities, regulators, and local governments in this integrated planning process. Prior to his time at Sandia, Dr. Jeffers worked at Idaho National Laboratory as an Energy and Environmental Systems Modeler and Power and Controls Researcher. Dr. Jeffers earned his master’s degree in Electrical Engineering and Power Systems from Virginia Tech, and his doctorate in Environmental Science from Washington State University.

Jay Johnson | Ph: (505) 284-9586 | Smart Grid Integration

Jay Johnson is a senior member of technical staff and leads a number of multidisciplinary, international renewable energy research projects including the coordination of advanced distributed energy resource (DER) interoperability testing in the United States, Europe, and Asia through the Smart Grid International Research Facility Network (SIRFN). Previously, he led the US-Japan collaborative research project on utility-scale PV-smoothing controls using a gas genset and battery at the Mesa del Sol Aperture Center and PNM Prosperity Site. Jay spearheads a laboratory directed research and development project on Virtual Power Plants to provide ancillary services and an internal capabilities development project focused on power system and DER cyber security. Jay Johnson received a B.S. in mechanical engineering from the University of Missouri-Rolla and an M.S. in mechanical engineering from the Georgia Institute of Technology.

Jason Neely | Ph: (505) 845-7677 | Power Electronics and Controls

Jason C. Neely is a researcher at Sandia and has been focusing on power electronics and power electronic converter systems, including microgrid systems, grid integration of renewable energy and energy storage, military power systems, and circuit design for wide bandgap devices since 2010. Previously, he worked in the Intelligent Systems & Robotics Center from 2001-2007. He received his PhD in Electrical and Computer Engineering at Purdue for development of new control techniques for power electronics, and earned his B.S. & M.S. degrees in electrical engineering from the University of Missouri-Rolla.

Robert Broderick | Ph: (505) 366-1120 | Utility Distribution Systems Analysis

Robert Broderick is a principal member of technical staff and has led Sandia’s Distribution Grid Integration Program since 2012, a program that has produced leading research on the grid integration of distributed energy resources (DER). Robert’s primary research focus is to remove barriers to greater integration of distributed energy resources into the electricity grid by investigating grid impact simulation and modeling including quasi static time series analysis, hosting capacity analysis, regulatory rules and standards, and resiliency. Prior to working for Sandia, Robert worked as a consultant for TRC Engineers, Inc.  focused on solving problems for PV project developers and performing comprehensive grid integration studies for utility clients. Robert worked at PNM (largest IOU utility in New Mexico) as the manager of renewables and developed and managed the successful customer-side PV program, which is expected to achieve over 20 MW of new PV installations in PNM’s service territory. Robert also worked as a senior power engineer in PNM’s Distribution Planning Department and Customer Generation Department. Robert took a lead role in writing New Mexico’s new interconnection standard utilizing industry best practices and IEEE 1547. Robert is a Professional Electrical Engineer and received a master’s degree in power systems engineering from New Mexico State University and a B.A. in Physics from University of Colorado at Boulder.

Jack Flicker | Ph: (505) 284-6810 | Power Electronics Materials and Systems

Jack Flicker is a Senior Member of the Technical Staff at Sandia.  His research focuses on power electronics and power electronic converter systems.  Since joining Sandia in 2011, Jack’s research has encompassed the entire value chain of power electronics from materials to systems, specifically focusing on the performance and reliability of advanced semiconductor devices, including wide and ultra-wide bandgap devices; design of advanced circuit topologies for power conversion systems; performance, safety, and reliability of power conversion systems; and interconnection and grid support of power converters for microgrid and interconnected grid applications.  Jack received his Ph.D. (2011) in Materials Science and Engineering at the Georgia Institute of Technology for investigating nanoscale back surface collectors for polycrystalline photovoltaic materials.  He earned B.S. degrees in physics and chemistry from the Pennsylvania State University in 2006.

Sigifredo Gonzalez | Ph: (505) 845-8942 | Distributed Energy Technologies Laboratory

Sigifredo Gonzalez is a principal member of the technical staff at Sandia National Laboratories, and works in the area of utility interconnection standards and grid integration. He currently a working group member of IEEE 1547 full revision and a chair for the revision to IEEE 1547.1 section 5.7 Unintentional Islanding test procedure. Concentrating efforts include laboratory evaluations of electrical power system support function developments in prototype inverters, PV system performance assessments, PV system NEC code compliance and reliability, and PV system  interoperability assessments for communication implementation of advanced inverter functions.  Sigifredo directs laboratory assessments of PV inverter at the distributed energy technologies laboratory (DETL) at Sandia. He has a master’s degree in electrical engineering from New Mexico State University in Las Cruces, New Mexico.

Matthew Lave | Ph: (925) 294-4676 | Power Electronics Materials and Systems

Matthew Lave is a Senior Member of the Technical Staff. He is an expert at monitoring, analysis, and modeling of PV power production, both for performance assessment and for grid integration studies. Matthew has authored many peer-reviewed journal articles on topics such as solar resource assessment, PV performance modeling, solar variability analysis, optimal tilt angles for PV modules, and the impact of solar variability to electric grid operations. He developed the wavelet variability model (WVM) which is now widely used by researchers, consultants, and utilities for modeling the aggregate solar variability of distributed or utility scale PV plants. Matthew received his PhD in Aerospace Engineering from the University of California, San Diego for developing new methods for modeling and analysis of high-frequency solar variability. He also holds a B.A. in Physics from Occidental College.

Matthew Reno | Ph: (505) 844-3087 | Distribution System Analysis and Protection

Matthew J. Reno is a Senior Member of Technical Staff in the Electric Power Systems Research Department at Sandia National Laboratories.  His research focuses on distribution system modelling and analysis with high penetration PV, including advanced software tools for automated analysis of hosting capacity, PV interconnection studies, and rapid Quasi-Static Time Series simulations. Matthew is also involved with the IEEE Power System Relaying Committee for developing guides and standards for protection of microgrids and systems with high penetrations of inverter-based resources.  He received his Ph.D. in electrical engineering from Georgia Institute of Technology and has been at Sandia for the last 10 years.

John Eddy | Ph: (505) 284-1642 | Modeling, Simulation, and Optimization of Distributed Power Systems

John Eddy, Ph.D. is a Principal Member of the Technical Staff in the Math Analysis and Decision Science Department at Sandia National Labs.   His research areas include operations research and System of Systems modeling, simulation, and optimization for civilian and military energy systems.  He is the primary developer of the R&D 100 award winning Microgrid Design Toolkit funded by the Department of Energy.  He received his Bachelor of Science, Master of Science, and Ph.D. degrees in Mechanical Engineering from the State University of New York at Buffalo in 1999, 2001, and 2005 respectively.

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