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Background, Interest,
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| | Texas A&M University | Irfan A. Khan | Assistant Professor |
Academic
|
Power Electronics
| Rapid System Health and Risk Assessment Tools for Grid Operators | I have experience working in power electronics and machine learning to develop and present sustainable, and cyber-robust solutions.
I have successfully conducted research and completed projects on renewable energy integration, and electric vehicle infrastructure planning.
A brief description of my background and capabilities is given below:
(a) design and control of power electronic converters for grid integration of renewable energy sources,
(b) develop autonomous control algorithms for optimizing both source side and grid side requirements,
(c) HVDC and HVAC transmission system design for integration of offshore wind turbines to the on-shore grids, and
(d) machine learning-based predictive maintenance, and cybersecurity concerns of energy systems.
Please feel free to contact me for further discussion and collaboration. |
| TX |
| | Texas A&M University | Irfan A. Khan | Assistant Professor |
Academic
|
Power Electronics
| Variability Management in Grid Operations | I have experience working in power electronics and machine learning to develop and present sustainable, and cyber-robust solutions.
I have successfully conducted research and completed projects on renewable energy integration, and electric vehicle infrastructure planning.
A brief description of my background and capabilities is given below:
(a) design and control of power electronic converters for grid integration of renewable energy sources,
(b) develop autonomous control algorithms for optimizing both source side and grid side requirements,
(c) HVDC and HVAC transmission system design for integration of offshore wind turbines to the on-shore grids, and
(d) machine learning-based predictive maintenance, and cybersecurity concerns of energy systems.
Please feel free to contact me for further discussion and collaboration. |
| TX |
| | Texas A&M University | Irfan A. Khan | Assistant Professor |
Academic
|
Power Electronics
| Planning Tools for Future Power Systems | I have experience working in power electronics and machine learning to develop and present sustainable, and cyber-robust solutions.
I have successfully conducted research and completed projects on renewable energy integration, and electric vehicle infrastructure planning.
A brief description of my background and capabilities is given below:
(a) design and control of power electronic converters for grid integration of renewable energy sources,
(b) develop autonomous control algorithms for optimizing both source side and grid side requirements,
(c) HVDC and HVAC transmission system design for integration of offshore wind turbines to the on-shore grids, and
(d) machine learning-based predictive maintenance, and cybersecurity concerns of energy systems.
Please feel free to contact me for further discussion and collaboration. |
| TX |
| | Universal Real Time Power Conversion LLC | Debiprasad Panda | President & CTO |
Small Business
|
| A Real Time power system analysis tool for feasibility, impact and stability studies of large and small power system. | Company is developing a real time simulation tool for power system planning, feasibility and impact study of large, medium and small power system. The tool is capable of simulating hundreds and thousands of IBRs and thousands/millions of grid points. The tool is capable of analyzing steady state and dynamic analysis. The simulation step size can be reduced to less than 50ns for up to 100 IBRs and can be extended to thousands of IBRs and conventional DERS by relaxing the time step to micro-second. The tool can be used for both transmission and distribution system planning and feasibility studies. |
| WI |
| | Lawrence Technological University | Morteza Nazari-Heris | Assistant Professor |
Academic
|
General
| 1 and 2 | Dr. Morteza Nazari-Heris is an Assistant Professor at the Lawrence Technological University. Prior to joining Lawrence Tech, he worked as Graduate Research Assistant in Areas of National Need at Pennsylvania State University and earned his Ph.D. degree specializing in energy systems. During his graduate studies at Pennsylvania State University, he performed projects on future, flexible, equitable, and robust networks of charging stations for high adoption of electric vehicles, application of machine learning and deep learning methods to energy systems, and sustainable design of buildings with renewable energy sources and energy storage facilities. He has also obtained B.Sc. and M.Sc. degrees in Electrical Engineering from the University of Tabriz, where he worked on design and performance analysis of zero energy building, residential load energy management, and multi-carrier energy systems. Dr. Nazari-Heris has an academic background in the techno-economic-socio analysis of critical infrastructure including the transportation system sector and energy sector, life-cycle analysis, and research. During his time as Assistant Professor and Research Assistant in the past 11 years, he has delivered 3 research projects, and to date, he has 63 technical journal publications, 28 conference proceedings, and 28 book chapters in his academic records. In the past decade, he has had a strong background working as a researcher in universities in different countries working on several small-scale projects, which were revolved around the power network in different regions, short-term and long-term planning, and optimal energy management systems considering demand and generation side management, load forecasting, optimal power flow, dynamic pricing, sensitivity analysis, and market mechanism design. Dr. Nazari-Heris is an expert in transportation electrification, and energy systems with a focus on developing tools for the intelligent, sustainable, and resilient transportation system sector and energy sector, infrastructure systems, communities, and cities. His main areas of interest are energy system operation, energy management, sustainability, zero-energy Buildings, transportation electrification, electric vehicles, microgrids, multi-carrier energy systems, renewables, and energy storage technologies. |
| MI |
| | eRoots Analytics | Oriol Gomis Bellmunt | Chair Professor |
Small Business
|
Power Electronics
| | Oriol Gomis received the degree in industrial engineering from the School of Industrial Engineering of Barcelona (ETSEIB), Technical University of Catalonia (UPC), Barcelona, Spain, in 2001 and the PhD in electrical engineering from the UPC in 2007 (with European Mention and Extraordinary Doctoral Prize). In 1999 he joined Engitrol where he worked as project engineer in the automation and control industry. In 2003 he developed part of his PhD thesis in the DLR (German Aerospace center) in Braunschweig (Germany). Since 2004 he is with the Electrical Engineering Department of the UPC where he is Professor and participates in the CITCEA-UPC research group. From 2009 to 2016 he was also with the Catalonia Institute for Energy Research (IREC), where he was leader of the power systems group. He has been involved in numerous industrial and research projects. He was one of the founders of the company TeknoCEA and eROOTS, spin-offs from CITCEA-UPC. He has been also developing research related to onshore and offshore wind power plants, solar PV power plants, modeling, simulation and control of renewable energy systems, grid integration of renewables and HVDC technologies and grids. Supervisor of 17 doctoral theses, most of them in the field of grid integration of renewable power, HVDC and power systems dominated by power electronics. Coauthor of 3 books, 7 patents and > 170 journal publications, mainly in the field of power electronics in power systems and grid integration of renewables. Since 2020, he is an ICREA Academia Researcher. Since 2021 Prof Gomis is an IEEE Fellow Member. |
| Barcelona |
| | North Dakota State University | Di Wu | Associate Professor |
Academic
|
General
| 2 & 3 | Our team has expertise in system strength assessment & stability analysis and control of large-scale power systems with high IBR penetration. |
| ND |
| | Latimer Controls | Simon Julien | CEO |
Small Business
|
Other Balance of Systems
| Topic 2: Variability Management in Grid Operations | Latimer Controls is an early-stage spinoff of research conducted at the University of Colorado Boulder and NREL. We are developing real-time control systems to mitigate intermittency associated with utility-scale solar power generation. Our solution utilizes real-time measurements, a proprietary deep learning model, and a novel backend decision making control scheme to allow VREs to be operated flexibly on the grid. Our locally hosted, vendor agnostic VRE control software allows utility-solar to evolve from an inflexible "must-take" resource to a flexible and dispatchable resource.
We are seeking a utility and/or ISO partner to develop a cooperative OPTIMA proposal. Our ideal early partners are those who: operate a grid with a diverse fleet of generation assets, including utility-scale solar; have strong carbon reduction goals for the near and mid future; and are concerned about grid stability and/or solar curtailment as renewable resources are integrated into the bulk power system. |
| CO |
| | Idaho National Laboratory | Soumyadeep Nag | Power and Energy Systems -Post Doctoral Researcher |
Federally Funded Research and Development Center (FFRDC)
|
General
| Topic 2 | Areas of work include:
- Distributed optimization and control (Algorithm design and simulation-based testing)
- Network-integrated DER modeling and control (Dynamic model development and control design, Network integration, and testing for standards compliance)
- Wind and solar uncertainty estimation |
| ID |
| | National Renewable Energy Laboratory | Barry Mather | Solar Grid Integration Lead - Chief Engineer |
Federally Funded Research and Development Center (FFRDC)
|
General
| Topic 3: Rapid System Health and Risk Assessment Tools for Grid Operators | With over 250 researchers working across all aspects of renewable grid integration, NREL is the sole DOE Lab with a sole mission to enable the integration of massive amounts of renewable energy needed to meet national goals. For Topic 3, NREL is interested in engaging in collaborative partnerships to develop new tools for advanced operational tools for ever higher levels of renewable energy in the nations grid. |
| CO |
| | National Renewable Energy Laboratory | Barry Mather | Solar Grid Integration Lead - Chief Engineer |
Federally Funded Research and Development Center (FFRDC)
|
General
| Topic 2: Variability Management in Grid Operations | With over 250 researchers working on all aspects of grid integration for renewable energy, NREL is the only DOE lab with the sole mission to enable the massive integration of renewables needed to meet national goals. NREL is interested in Topic 2 projects focused in all aspects of power system operations (other than those covered in Topic 3). To aid in the development of new power system operation tools, NREL has a large amount of operational data for validation and experience with visualization and data synthesis for informing power system operators of current and future system conditions in a dynamic matter. |
| CO |
| | National Renewable Energy Laboratory | Barry Mather | Solar Grid Integration Lead - Chief Engineer |
Federally Funded Research and Development Center (FFRDC)
|
General
| Topic 1: Planning Tools for Future Power Systems | With over 250 researchers working on all aspects of grid integration for renewable energy, NREL is the only DOE lab with the sole mission to enable the massive integration of renewables needed to meet national goals. NREL is interested in Topic 1 projects focused in all aspects of power system planning with very high levels of variable renewable energy (VRE). NREL also has developed (often in collaboration) a number of power system planning tools such as: PRAS, ReOPT, and ReEDs and has considerable experience using HELICS and other co-simulation platforms, as well as world-class datasets such as the NSRDB, to address the biggest questions related to solar grid integration. |
| CO |
| | Edge Creek Power LLC | Noel Myers | Principal - R&D |
Small Business
|
Photovoltaics
| Renewable Energy | To whom it may concern:
We are pleased to present Edge Creek Power - your strategic renewable energy risk management partner.
Transforming the renewable energy risk landscape isn't just a goal, it's our passion.
Mission:
We are on a mission to transform renewable energy risk management.
Vision:
We see a future where renewable energy is the most reliable power resource & risk free energy investment.
Values:
● Service
● Innovation
● Transparency
Services:
No two energy assets are the same; every asset has its own unique power characteristics and risk profiles.
Edge Creek Power offers strategic consulting, research and development, and risk engineering services for insurers, financiers and asset owners.
From assessing asset risk profiles to identifying new optimization opportunities, we work with you to create innovative, customized strategies that drive long-term value and help you achieve your renewable energy goals.
Our team is dedicated to delivering excellence and innovation, and we're excited to help you take your energy initiatives to the next level. |
| NC |
| | infiniRel Corporation | Bert Wank | CEO |
Small Business
|
Power Electronics
| Operations tools | infiniRel develops equipment health diagnostics for renewable energy plants to improve efficiency and profitability. Similar to an EKG for heart failure prediction, our high-resolution measurements create unique data offering unprecedented insight for improving output, optimizing maintenance, and extending the life of critical assets.
Our patented technology offers prescriptive diagnostics to global renewable energy developers and asset owners, combining signal-processing, proprietary algorithms, and resource-efficient Machine Learning. The "EKG" is a physical edge device, that uses high-resolution voltage and current sensor that attach either temporarily or semi-permanently to the bus-bars of the DUT (the inverter-based resource), and uploads our real-time processed raw measurements to the cloud for machine learning and failure prediction.
We are interested in participating in demonstration projects for operational performance improvements for, preferably, utility-scale projects in solar, wind, or energy storage that rely on central inverters. Potential partners include asset owners, project developers, energy service providers and/or O&M companies, and may inverter manufacturers. |
| CA |
| | Idaho National Laboratory | Juan Gallego-Calderon | Clean Energy Engineer |
Federally Funded Research and Development Center (FFRDC)
|
General
| 1 | We are interested in partnering with organizations on Topic Area 1: Planning tools for future energy systems. Relevant to this area, we have expertise in resource assessment of hydropower, probabilistic forecasting, and transmission line switching. In addition, we have several projects in hydropower-based hybrids, with a focus on hydro-storage systems. We also work with other renewable energy sources such as PV and wind. |
| ID |
| | DRG Technical Solutions | Penny Humphreys | Sr. Business Research Business Analyst |
Small Business
|
Power Electronics
| | DRG is a full-service engineering and research firm, focused on the electric utility and infrastructure, inclusive of but not limited to, transmission and distribution planning, grid automation, reliability, and resiliency.
'- Electric Power System Research
- Electric Distribution Engineering Design
- Electrical Substation Design
- Electric Grid Automation
- Advanced sensing and fault detection for Electric Power systems
- Situational awareness for Electric Power systems
- HPC high-performance computing Electric Power supply
- Electrical protection and controls
- Artificial Intelligence and Machine Learning for Electric Power systems
- Renewable generation pv, wind, hydro, nuclear, energy storage, Electric vehicle charging stations
- Electrical Power Quality and Monitoring |
| TN |
| | Loans and Grants | Darrin Riberdy | Member |
Small Business
|
General
| | 23 years of solicitation, FOA and Grant assistance:
Project management of grant and loan from start to finish
Create application template with client logo and branding
Create secure Dropbox site for document management
Create application plan with writing assignments and schedule
Agency documentation of solicitation and Q&A
Facilitate kick-off meeting and all status calls
Assistance to complete the concept paper
Assistance to complete full application
Assistance to complete application forms
Assistance to upload to agency portal
Assistance with obtaining UEI and SAM.gov
Packaging services
Assistance with application compliance
Assistance with application evaluation |
| TX |
| | the University of Tennessee & Oak Ridge National Laboratory | Yilu Liu | |
Academic
|
General
| POW based Grid Edge Monitoring and Situational Awareness | Our team has over 20 years of expertise in distribution system monitoring. Our new grid edge monitors offer an array of functions, including:
1. Continuous synchronized voltage and current waveform measurements with reporting rate up to 36k samples/second
2. Synchrophasors with reporting rate up to 1440 fps
3. Power quality factors including harmonics, sag, flicker, SNR
4. Ethernet and wireless connection
5. GPS time synchronization |
| TN |
| | S&C Electric Company | Saeed Kamalinia | |
Large Business
|
General
| | Background
Founded in 1911 and headquartered in Chicago, Illinois, S&C is an R&D focused organization and innovator of technologies associated with the power transmission and distribution industry.
Capabilities
Our team of Consulting and Analytical Services (CAS) personnel collectively has over one hundred years of experience in performing power system analyses, proficient in the use of power system analysis software, such as DigSILENT PowerFactory, PSCAD, EMTP, RV, ATP, CYME, ETAP, and EasyPower.
S&C is a leading manufacturer of distribution automation equipment. Our engineering teams frequently support utility, commercial, and industrial customers in automating their distribution system to locate and isolate faults and restore power supply where possible after an outage.
S&C’s engineering team has substantial experience with interconnecting both renewable and traditional DERs, microgrids, and energy storage to utility systems. S&C has designed and implemented interconnection substations as well as development projects installing generation and/or storage.
S&C’s engineers have led the development of industry guidance and standards for controls, protection, and cybersecurity for microgrids. S&C’s GridMaster® Microgrid Control System is the first system to receive an Authority to Operate (ATO) from the U.S. Department of Defense.
Interest
S&C is interested in supporting research on key topics such as reliability improvement, distribution automation, and energy resiliency. |
| IL |
| | University of Arkansas | Roy McCann | |
Academic
|
Power Electronics
| Modeling and Control of Inverter-Based Resources | Research in power electronics for transmission interfaces of inverter-based resources. Development on modeling, simulation and controls for grid resiliency and power restoration. Capability for 6 MVA test bed of hardware-in-the-loop evaluation of hybrid dc and ac systems. Development of cyber secure grid-connected power electronics. |
| AR |
| | National Energy Technology Laboratory | John Brewer | |
Government Owned and Operated (GOGO)
|
General
| 1 & 2 | John Brewer is a Research Engineer in the Energy Markets Analysis Team at the National Energy Technology Laboratory. He leads NETL’s research into interconnected energy infrastructure systems dynamics and markets. His active areas of research are modeling natural gas-electric interdependency, technology transition, and power systems and infrastructure reliability and resilience in the face of energy transition. He is an active participant in several NERC subcommittees and working groups that are leading industry efforts in these areas. |
| WV |
| | DRG Technical Solutions LLC. | Penny Humphreys | |
Small Business
|
General
| All | - Electric Power System Research
- Electric Distribution Engineering Design
- Electrical Substation Design
- Electric Grid Automation
- Advanced sensing and fault detection for Electric Power systems
- Situational awareness for Electric Power systems
- HPC high-performance computing Electric Power supply
- Electrical protection and controls
- Artificial Intelligence and Machine Learning for Electric Power systems
- Renewable generation pv, wind, hydro, nuclear, energy storage, Electric vehicle charging stations
- Electrical Power Quality and Monitoring
DRG is a full-service engineering and research firm, focused on the electric utility and infrastructure, inclusive of but not limited to, transmission and distribution planning, grid automation, reliability, and resilency. |
| TN |
| | Pacific Northwest National Laboratory (PNNL) | Jim Follum | |
Federally Funded Research and Development Center (FFRDC)
|
General
| 2, 3 | The Electricity Infrastructure Operations Center (EIOC) is a national laboratory resource for investigating new electric power grid management technologies. The EIOC includes a modern control room environment that has been used to evaluate grid management software with real system operators. The EIOC also includes high-speed network access to real-world data. In Topic 2, the EIOC might be used for hosting and evaluating a project team’s software deliverables in an operational training environment. In Topic 3, the EIOC might be used for hosting and evaluating a project team’s data processing platform in a real-time environment. PNNL is available to participate on teams led by others on Topic 2 and/or Topic 3, with EIOC facilities and staff, on a non-exclusive basis. |
| WA |
| | Argonne National Laboratories | Moinuddin Ahmed | |
Federally Funded Research and Development Center (FFRDC)
|
Power Electronics
| 1,2,3 | Power electronics, reliability testing, in-situ failure analysis, automation, data analysis and modeling |
| IL |
| | Clemson University | Umesh Vaidya | |
Academic
|
General
| | Dynamics, Control, and Optimization. Data-driven modeling and control, uncertainty propagation in power networks, optimization with uncertainty, stochastic and robust optimization, integration of renewables with grid, detection of forced oscillations. |
| SC |