Modelling, Simulation and Sensitivity Analysis of Generator Control Systems using Coexisting and Cooperative Tools
by Javier Urquizo 1,* 
, Diover Bonilla 1, Francisco Rivera 1 , Rommel Chang 2
1 Escuela Superior Politécnica del Litoral, ESPOL, FIEC, Campus Gustavo Galindo Km. 30.5 Via Perimetral, Guayaquil, Ecuador
2 CELEC EP Unidad de Negocio Hidronación, Central Baba, Kilómetro 39 vía Quevedo — Santo Domingo, Ecuador
* Author to whom correspondence should be addressed.
Journal of Engineering Research and Sciences, Volume 2, Issue 1, Page # 1-12, 2023; DOI: 10.55708/js0201001
Keywords: Electric Power Systems, Automatic Voltage Regulator, Coexisting and Collaborative tools, Power System Stabilizer, Stability Assessment, Sensitivity Analysis
Received: 28 October 2022, Revised: 11 December 2022, Accepted: 18 December 2022, Published Online: 28 January 2023
APA Style
Urquizo, J., Bonilla, D., Rivera, F., & Chang, R. (2022). Modelling, Simulation and Sensitivity Analysis of Generator Control Systems using Coexisting and Cooperative Tools. Journal of Engineering Research and Sciences, 2(1), 1–12. https://doi.org/10.55708/js0201001
Chicago/Turabian Style
Urquizo, Javier, Diover Bonilla, Francisco Rivera, and Rommel Chang. “Modelling, Simulation and Sensitivity Analysis of Generator Control Systems using Coexisting and Cooperative Tools.” Journal of Engineering Research and Sciences 2, no. 1 (January 1, 2022): 1–12. https://doi.org/10.55708/js0201001.
IEEE Style
J. Urquizo, D. Bonilla, F. Rivera, and R. Chang, “Modelling, Simulation and Sensitivity Analysis of Generator Control Systems using Coexisting and Cooperative Tools,” Journal of Engineering Research and Sciences, vol. 2, no. 1, pp. 1–12, Jan. 2022, doi: 10.55708/js0201001.
This research is about tuning the automatic generator control (AGC) unit within the National Transmission System (NTG) and is intended to provide a set of key insights into problems related to generator control systems oscillations and the possible available solutions. The case study is the Baba Hydroelectric Power Plant in Ecuador. The aim is to model, simulate and validate the controls of the Baba generating units for an optimal and stable response. Both controllers, the Automatic Voltage Regulator (AVR) and Power System Stabilizer (PSS) were tuned using both a component-based approach using an object-orientated tool where the model structure resembles the original system, and a coexisting power flow tool in a signal orientated environment. A key part of this tuning is the adaptation of the model to different operating conditions by testing scenarios where signals ought to be defined before the start of the simulation and others be chosen for visualisation without any limitation, therefore, this paper is about finding a multi-framework environment. Also, the model was disturbed so to observe the field Voltage and terminal voltage values using a simplified and reduced part of the NTG. Results show that a high gain AVR helps the steady state and transient stabilities but may reduce the oscillatory stability and the PSS can provide significant stabilization of such oscillations. The validation strategy uses the average quadratic mean square error statistical method.
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