A High-Fidelity Electromagnetic Transient Model of Inverter-based Resources Integrated to an IEEE-9 Bus System for Benchmarking Studies

Misael F.M. Montejano, Phani R.V. Marthi, Suman Debnath, Sayan Samanta, Nilanjan Ray Chaudhuri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An inverter-based resource (IBR) is a source of electricity that is asynchronously connected to the electrical grid via an electronic power converter. These power sources lack the intrinsic behaviors of the standard power plants, presenting specific challenges to system stability. These power sources lack the intrinsic behaviors of the standards power plants and their features are almost entirely defined by the control strategy used on them, presenting specific challenges to system stability as their penetration increases into the already fragile Bulk Power System (BPS). Utilizing renewable energy has a great upside but the electrical industry needs to understand the requirements like performing electromagnetic transient (EMT) simulation studies in planning and/or in interconnection studies. This paper presents the development of a high-fidelity EMT model based on commercial equipment and field parameters, which at the same time aims to study the increasing penetration of IBRs and their impact on the actual BPS. The open-source EMT model developed will be a benchmarking example that can be used to evaluate algorithms in the power grid (including evaluating grid-forming controls, power system monitoring and operation, etc.).

Original languageEnglish (US)
Title of host publication2024 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350313604
DOIs
StatePublished - 2024
Event2024 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024 - Washington, United States
Duration: Feb 19 2024Feb 22 2024

Publication series

Name2024 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024

Conference

Conference2024 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024
Country/TerritoryUnited States
CityWashington
Period2/19/242/22/24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

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