2321329
Project Grant
Overview
Grant Description
Sbir Phase I: A Hybrid Phasor/Waveform Simulation Tool for the Accurate and Efficient Simulation of Large Electric Power Systems with High Shares of Inverter-Based Resources -The Broader Impact/Commercial Potential of This Small Business Innovation Research (Sbir) Phase I Project Will Be to Develop Refined Approaches to Power System Dynamic Stability Assessments, Enabling the Efficient, Mass Integration of Renewable Energy into Systems Worldwide.
Decarbonization Goals and Economic Opportunity Necessitate the Increase of Inverter-Based Resources, Such as Solar, Wind, and Battery Energy Storage. A Dynamic Stability Assessment Is Required Before the Interconnection of Every Renewable, Inverter-Based Resource on All Power Systems. Current Simulation Approaches Do Not Capture the Critical Details of Inverter Operation or Are Too Computationally Complex and Expensive to Be Effective with Real-World Systems. This Results in the Enormous Potential for Unique Simulation Capabilities That Streamline This Process.
There Is a Global Market Opportunity for More Effective and Efficient Planning Solutions That Enable Power System Operators to Meet This Need. In the United States, Alone, the Licensing Opportunity for a Solution Is Hundreds of Millions of Dollars. The Proposed Hybrid Approach Combines Computational Flexibility with Accuracy. This Solution Will Leverage the Maturity of These Approaches and Eliminate Their Weaknesses. The Final Solution Will Yield an Invaluable, Novel Simulation Tool for Power System Operators and Planners Navigating the Challenges of the Energy Transition.
The Intellectual Merit of This Project Results from the Development of Mathematical Methods That Will Comprise the Foundation of This Hybrid Power System Dynamics Simulation Tool. Existing Tools Have Clear Weaknesses. For Example, Reduced-Order, Phasor Domain Simulation Approaches Do Not Capture the Critical Aspects of Inverter Operation. Detailed Waveform Domain Approaches Are Sufficient to Capture Relevant Dynamics but Are Too Computationally Expensive to Be Effective with Real-World Systems. These Domains Are Mature, but Separately They Do Not Meet the Changing Need. Hybridizing Them in a Single Platform Is a Solution, but It Requires Research in the Following Three Foundational Pillars of the Proposed Tool:
1) Autonomous Boundary Determination - Identifying the Spatial (Across the Network) and Temporal (Across the Simulation Length) Boundary That Partitions the Two Simulation Domains;
2) Intra-Simulation Model Order Adjustment - Applying Dynamical Model Granularity for All Simulations, but Singly Perturbing the Differential Systems to Create Algebraic Relations and Reduce Computational Burden When Substantial Detail Is Not Required; and
3) Seamless Simulation Mode Switching - Identifying Criteria Necessary for Switching Between Domains.
With the Successful Completion of This Sbir Phase I Project, the Viability of the Hybrid Approach Will Be Confirmed, and a Roadmap for Implementation Will Be Realized. This Award Reflects Nsf's Statutory Mission and Has Been Deemed Worthy of Support Through Evaluation Using the Foundation's Intellectual Merit and Broader Impacts Review Criteria. - Subawards Are Not Planned for This Award.
Decarbonization Goals and Economic Opportunity Necessitate the Increase of Inverter-Based Resources, Such as Solar, Wind, and Battery Energy Storage. A Dynamic Stability Assessment Is Required Before the Interconnection of Every Renewable, Inverter-Based Resource on All Power Systems. Current Simulation Approaches Do Not Capture the Critical Details of Inverter Operation or Are Too Computationally Complex and Expensive to Be Effective with Real-World Systems. This Results in the Enormous Potential for Unique Simulation Capabilities That Streamline This Process.
There Is a Global Market Opportunity for More Effective and Efficient Planning Solutions That Enable Power System Operators to Meet This Need. In the United States, Alone, the Licensing Opportunity for a Solution Is Hundreds of Millions of Dollars. The Proposed Hybrid Approach Combines Computational Flexibility with Accuracy. This Solution Will Leverage the Maturity of These Approaches and Eliminate Their Weaknesses. The Final Solution Will Yield an Invaluable, Novel Simulation Tool for Power System Operators and Planners Navigating the Challenges of the Energy Transition.
The Intellectual Merit of This Project Results from the Development of Mathematical Methods That Will Comprise the Foundation of This Hybrid Power System Dynamics Simulation Tool. Existing Tools Have Clear Weaknesses. For Example, Reduced-Order, Phasor Domain Simulation Approaches Do Not Capture the Critical Aspects of Inverter Operation. Detailed Waveform Domain Approaches Are Sufficient to Capture Relevant Dynamics but Are Too Computationally Expensive to Be Effective with Real-World Systems. These Domains Are Mature, but Separately They Do Not Meet the Changing Need. Hybridizing Them in a Single Platform Is a Solution, but It Requires Research in the Following Three Foundational Pillars of the Proposed Tool:
1) Autonomous Boundary Determination - Identifying the Spatial (Across the Network) and Temporal (Across the Simulation Length) Boundary That Partitions the Two Simulation Domains;
2) Intra-Simulation Model Order Adjustment - Applying Dynamical Model Granularity for All Simulations, but Singly Perturbing the Differential Systems to Create Algebraic Relations and Reduce Computational Burden When Substantial Detail Is Not Required; and
3) Seamless Simulation Mode Switching - Identifying Criteria Necessary for Switching Between Domains.
With the Successful Completion of This Sbir Phase I Project, the Viability of the Hybrid Approach Will Be Confirmed, and a Roadmap for Implementation Will Be Realized. This Award Reflects Nsf's Statutory Mission and Has Been Deemed Worthy of Support Through Evaluation Using the Foundation's Intellectual Merit and Broader Impacts Review Criteria. - Subawards Are Not Planned for This Award.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SMALL BUSINESS INNOVATION RESEARCH (SBIR)/ SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAMS PHASE I", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF23515
Grant Program (CFDA)
Awarding Agency
Place of Performance
Denver,
Colorado
80204-1374
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the End Date has been extended from 08/31/24 to 07/31/25.
Encoord was awarded
Project Grant 2321329
worth $274,375
from in September 2023 with work to be completed primarily in Denver Colorado United States.
The grant
has a duration of 1 year 10 months and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
The Project Grant was awarded through grant opportunity NSF Small Business Innovation Research / Small Business Technology Transfer Phase I Programs.
SBIR Details
Research Type
SBIR Phase I
Title
SBIR Phase I: A hybrid phasor/waveform simulation tool for the accurate and efficient simulation of large electric power systems with high shares of inverter-based resources
Abstract
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will be to develop refined approaches to power system dynamic stability assessments, enabling the efficient, mass integration of renewable energy into systems worldwide. Decarbonization goals and economic opportunity necessitate the increase of inverter-based resources, such as solar, wind, and battery energy storage. A dynamic stability assessment is required before the interconnection of every renewable, inverter-based resource on all power systems. Current simulation approaches do not capture the critical details of inverter operation or are too computationally complex and expensive to be effective with real-world systems. This results in the enormous potential for unique simulation capabilities that streamline this process. There is a global market opportunity for more effective and efficient planning solutions that enable power system operators to meet this need. In the United States, alone, the licensing opportunity for a solution is hundreds of millions of dollars. The proposed hybrid approach combines computational flexibility with _x000D_ accuracy. This solution will leverage the maturity of these approaches and eliminate their weaknesses. The final solution will yield an invaluable, novel simulation tool for power system operators and planners navigating the challenges of the energy transition._x000D_ _x000D_ The intellectual merit of this project results from the development of mathematical methods that will comprise the foundation of this hybrid power system dynamics simulation tool. Existing tools have clear weaknesses. For example, reduced-order, phasor domain simulation approaches do not capture the critical aspects of inverter operation. Detailed waveform domain approaches are sufficient to capture relevant dynamics but are too computationally expensive to be effective with real-world systems. These domains are mature, but separately they do not meet the changing need. Hybridizing them in a single platform is a solution, but it requires research in the following three foundational pillars of the proposed tool: 1) autonomous boundary determination – identifying the spatial (across the network) and temporal (across the simulation length) boundary that partitions the two simulation domains; 2) intra-simulation model order adjustment – applying dynamical model granularity for all simulations, but singularly perturbing the differential systems to create algebraic relations and reduce computational burden when substantial detail is not required; and 3) seamless simulation mode switching – identifying criteria necessary for switching between domains. With the successful completion of this SBIR Phase I project, the viability of the hybrid approach will be confirmed, and a roadmap for implementation will be realized._x000D_ _x000D_ This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Topic Code
EN
Solicitation Number
NSF 23-515
Status
(Complete)
Last Modified 1/14/25
Period of Performance
9/1/23
Start Date
7/31/25
End Date
Funding Split
$274.4K
Federal Obligation
$0.0
Non-Federal Obligation
$274.4K
Total Obligated
Activity Timeline
Transaction History
Modifications to 2321329
Additional Detail
Award ID FAIN
2321329
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
FP3LKGHHSQP3
Awardee CAGE
8BGR8
Performance District
CO-01
Senators
Michael Bennet
John Hickenlooper
John Hickenlooper
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
Research and Related Activities, National Science Foundation (049-0100) | General science and basic research | Grants, subsidies, and contributions (41.0) | $274,375 | 100% |
Modified: 1/14/25