HELICS: A Co-Simulation Framework for Scalable Multi-Domain Modeling and Analysis
As both the generation resources and load types have changed and grown over the past few decades, there is a growing need for analysis that spans traditional simulation boundaries; for example, evaluating the impact of distribution-level assets (e.g. rooftop solar, EV chargers) on bulk-power system...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10424422/ |
| _version_ | 1797302654318149632 |
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| author | Trevor D. Hardy Bryan Palmintier Philip L. Top Dheepak Krishnamurthy Jason C. Fuller |
| author_facet | Trevor D. Hardy Bryan Palmintier Philip L. Top Dheepak Krishnamurthy Jason C. Fuller |
| author_sort | Trevor D. Hardy |
| collection | DOAJ |
| description | As both the generation resources and load types have changed and grown over the past few decades, there is a growing need for analysis that spans traditional simulation boundaries; for example, evaluating the impact of distribution-level assets (e.g. rooftop solar, EV chargers) on bulk-power system operation. Co-simulation is a technique that allows simulators to trade information during run-time, effectively creating larger and more complex models. HELICS is a co-simulation platform that has been developed to enable these kinds of power system analysis, incorporating tools from a variety of domains including the electrical power grid, natural gas, transportation, and communications. This paper summarizes the technical design of HELICS, describes how tools can be integrated into the platform, and reviews a number of analyses that have been performed using HELICS. A short video summary of this paper can be found at <uri>https://youtu.be/BIUiR_K87Wc</uri>. |
| first_indexed | 2024-03-07T23:41:54Z |
| format | Article |
| id | doaj.art-fc7246c5ba3f4ab29419f4d145547ff7 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-07T23:41:54Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-fc7246c5ba3f4ab29419f4d145547ff72024-02-20T00:01:27ZengIEEEIEEE Access2169-35362024-01-0112243252434710.1109/ACCESS.2024.336361510424422HELICS: A Co-Simulation Framework for Scalable Multi-Domain Modeling and AnalysisTrevor D. Hardy0https://orcid.org/0000-0001-6748-8803Bryan Palmintier1https://orcid.org/0000-0002-1452-0715Philip L. Top2https://orcid.org/0000-0002-4331-2763Dheepak Krishnamurthy3Jason C. Fuller4https://orcid.org/0000-0002-0462-0093Pacific Northwest National Laboratory, Richland, WA, USANational Renewable Energy Laboratory, Golden, CO, USALawrence Livermore National Laboratory, Livermore, CA, USANational Renewable Energy Laboratory, Golden, CO, USAPacific Northwest National Laboratory, Richland, WA, USAAs both the generation resources and load types have changed and grown over the past few decades, there is a growing need for analysis that spans traditional simulation boundaries; for example, evaluating the impact of distribution-level assets (e.g. rooftop solar, EV chargers) on bulk-power system operation. Co-simulation is a technique that allows simulators to trade information during run-time, effectively creating larger and more complex models. HELICS is a co-simulation platform that has been developed to enable these kinds of power system analysis, incorporating tools from a variety of domains including the electrical power grid, natural gas, transportation, and communications. This paper summarizes the technical design of HELICS, describes how tools can be integrated into the platform, and reviews a number of analyses that have been performed using HELICS. A short video summary of this paper can be found at <uri>https://youtu.be/BIUiR_K87Wc</uri>.https://ieeexplore.ieee.org/document/10424422/Power system analysis computingpower system simulationHELICSco-simulationnatural gastransportation |
| spellingShingle | Trevor D. Hardy Bryan Palmintier Philip L. Top Dheepak Krishnamurthy Jason C. Fuller HELICS: A Co-Simulation Framework for Scalable Multi-Domain Modeling and Analysis IEEE Access Power system analysis computing power system simulation HELICS co-simulation natural gas transportation |
| title | HELICS: A Co-Simulation Framework for Scalable Multi-Domain Modeling and Analysis |
| title_full | HELICS: A Co-Simulation Framework for Scalable Multi-Domain Modeling and Analysis |
| title_fullStr | HELICS: A Co-Simulation Framework for Scalable Multi-Domain Modeling and Analysis |
| title_full_unstemmed | HELICS: A Co-Simulation Framework for Scalable Multi-Domain Modeling and Analysis |
| title_short | HELICS: A Co-Simulation Framework for Scalable Multi-Domain Modeling and Analysis |
| title_sort | helics a co simulation framework for scalable multi domain modeling and analysis |
| topic | Power system analysis computing power system simulation HELICS co-simulation natural gas transportation |
| url | https://ieeexplore.ieee.org/document/10424422/ |
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