4.8 Article

Comparison and Selection of Grid-Tied Inverter Models for Accurate and Efficient EMT Simulations

Journal

IEEE TRANSACTIONS ON POWER ELECTRONICS
Volume 37, Issue 3, Pages 3462-3472

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2021.3117633

Keywords

Integrated circuit modeling; Computational modeling; Inverters; Analytical models; Switches; Power systems; Power system stability; Average-value model; current-injection model; electromagnetic transient (EMT) simulation; grid-tied inverter; voltage interpolation (VI) model

Funding

  1. Hokkaido Electric Power Co.
  2. Tohoku Electric Power Co.
  3. Tokyo Electric Power Co. Holdings
  4. Chubu Electric Power Co.
  5. Hokuriku Electric Power Co.
  6. Kansai Electric Power Co.
  7. Chugoku Electric Power Co.
  8. Shikoku Electric Power Co.
  9. Kyushu Electric Power Co.
  10. Okinawa Electric Power Co.

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This article compares five modeling methods for grid-tied inverters in power system electromagnetic transient simulation, discussing their differences and suitable usage scenarios. By comparing simulated waveforms and computing time, the article aims to provide accurate and efficient simulation options.
This article compares five modeling methods of grid-tied inverters for the electromagnetic transient simulation of power system, clarifies their differences, and discusses the suitable model for each simulation purpose. The comparison was made under the same conditions between the conventional switching model, and four simplified models-voltage interpolation, average-value, controlled current-injection, and simplified current-injection model. The comparison of the simulated waveforms clarifies the behaviors that can be simulated and cannot be simulated by each simplified model. The comparison of the computing time reveals the significant decrease of the computing time by selecting the proper simplified modeling method. Based on these comparisons, this article discusses the selection of the modeling methods for each simulation purpose to perform simulations accurately and efficiently.

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