Parameterization of generic positive sequence models to represent behavior of inverter based resources in low short circuit scenarios

Journal Article · 28 July 2022 · Electric Power Systems Research

DOI: https://doi.org/10.1016/j.epsr.2022.108616 · OSTI ID:2418732

Ramasubramanian, Deepak  ^[1]; Wang, Xiaoyu ^[2]; Goyal, Sachin ^[3]; Dewadasa, Manjula ^[3]; Li, Yin ^[4]; O’Keefe, Robert J. ^[4]; Mayer, Peter F.  ^[5]

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1. Electric Power Research Inst. (EPRI) (United States); OSTI
2. Electric Reliability Council of Texas (United States)
3. PowerLink Queensland (Australia)
4. American Electric Power (United States)
5. Manitoba Hydro International Ltd. (Canada)

The connection of large inverter based resources (IBR) in transmission systems is often located geographically and electrically far away from load centers. This, coupled with the displacement of synchronous machine plants, results in a reduction of the network short circuit strength at the point of connection. Under these conditions, state-of-the-art positive sequence simulation platforms and models can have difficulties maintaining numerical stability and/or providing an accurate representation of IBR plant dynamic behavior. As a result, computationally heavy time domain electromagnetic transient (EMT) simulations may be required to evaluate these systems. In this paper, a recently developed improved generic positive sequence model is parameterized to provide a representation of IBR behavior in low short circuit networks. Further, comparisons against generic and detailed EMT models demonstrate the suitability of the improved positive sequence model to study practical stability issues experienced with presently in-service plants. Such a model can provide some of the accuracy of an EMT representation with a much lower computational burden. The performance of the positive sequence model is validated against the behavior shown by both open white box and closed black box EMT domain models from around the world.

• Research Organization: Electric Power Research Inst. (EPRI), Palo Alto, CA (United States)
• Sponsoring Organization: USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• Grant/Contract Number: EE0009019
• OSTI ID: 2418732
• Journal Information: Electric Power Systems Research, Journal Name: Electric Power Systems Research Journal Issue: C Vol. 213; ISSN 0378-7796
• Publisher: ElsevierCopyright Statement
• Country of Publication: United States
• Language: English