Synchronous generator system identification via dynamic simulation using PSS/E: Malaysian case

The synchronous generator (SG) plays a crucial role in power systems by serving as a stable and reliable source of electrical energy. The performance of an SG hinges on its standard parameters, which can be derived through dynamic tests. This study introduces a method for determining the standard parameters of an SG from dynamic tests conducted via power system simulation for engineering (PSS/E). The proposed method entails conducting several key tests on the generator, including a direct-load rejection test, excitation removal test, quadrature-axis load rejection test, arbitrary axis load rejection test, and open-circuit saturation test. The results obtained from these tests are then utilized to calculate the standard parameters of the SG accurately. To validate the effectiveness of the method, simulation data from the SG, as well as the designed initial data, are utilized. Statistical analysis reveals that the maximum relative error is equal to or less than 2.7% of the design values for all standard parameters, emphasizing the robustness and accuracy of the proposed method. The methodology presented in this study can complement field or site measurements, as it enables the verification of system parameters through dynamic simulations.

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Publication Details

Journal
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Published
2025-09-01
DOI
https://doi.org/10.11591/ijpeds.v16.i3.pp1658-1672
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
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article

Synchronous generator system identification via dynamic simulation using PSS/E: Malaysian case

Izham Zainal Abidin, Agileswari K. Ramasamy, Aidil Azwin Zainul Abidin, Marayati Marsadek et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Power System Optimization and Stability
article

Synchronous generator system identification via dynamic simulation using PSS/E: Malaysian case

Izham Zainal Abidin, Agileswari K. Ramasamy, Aidil Azwin Zainul Abidin, Marayati Marsadek, Saleh Ba-swaimi, Tan Yi Xu, Renuga Verayiah, Nagaraja Rupan Panneerchelvan, W. Mohd Suhaimi Wan Jaafar
article en

Abstract

The synchronous generator (SG) plays a crucial role in power systems by serving as a stable and reliable source of electrical energy. The performance of an SG hinges on its standard parameters, which can be derived through dynamic tests. This study introduces a method for determining the standard parameters of an SG from dynamic tests conducted via power system simulation for engineering (PSS/E). The proposed method entails conducting several key tests on the generator, including a direct-load rejection test, excitation removal test, quadrature-axis load rejection test, arbitrary axis load rejection test, and open-circuit saturation test. The results obtained from these tests are then utilized to calculate the standard parameters of the SG accurately. To validate the effectiveness of the method, simulation data from the SG, as well as the designed initial data, are utilized. Statistical analysis reveals that the maximum relative error is equal to or less than 2.7% of the design values for all standard parameters, emphasizing the robustness and accuracy of the proposed method. The methodology presented in this study can complement field or site measurements, as it enables the verification of system parameters through dynamic simulations.

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer EngineeringVol. 16(3)
Lingnan University (HK), Universiti Tenaga Nasional (MY)
Openalex Percentile: Top 78%
Power System Optimization and Stability
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Synchronous generator system identification via dynamic simulation using PSS/E: Malaysian case — Izham Zainal Abidin, Agileswari K. Ramasamy, et al. · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2025) | TGRS Research Map | TGRS