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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Verayiah, Renuga
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Control & Systems Engineering Electrical & Electronics Engineering

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Optimal annual solar PV penetration for improved voltage regulation and power loss reduction under uncertainty conditions Ba-swaimi, Saleh; Verayiah, Renuga; Ramachandaramurthy, Vigna K.; Binajjaj, Saeed Ali; Padmanaban, Sanjeevikumar
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp1147-1159

Abstract

Given their technological, economic, and environmental advantages, the widespread adoption of renewable distributed generators (RDGs) in distribution systems (DSs) is becoming more prevalent. However, Solar photovoltaic distributed generators (PV-DGs) face the challenge of intermittent behavior, which results in power output fluctuations and increased grid uncertainty. Therefore, addressing these uncertainties is crucial when determining their optimal allocation. The proposed method considers uncertainties related to both load demand and solar irradiation. The model is formulated as a stochastic mixed-integer nonlinear optimization problem, which is solved using the whale optimization algorithm (WOA). The standard IEEE 33-bus system is used to validate the proposed approach, and demand variations are modeled based on the IEEE reliability test system (IEEE-RTS). The objective is to simultaneously minimize total expected voltage deviation, real power loss, and reactive power loss while increasing solar PV penetration. The technique for order of preference by similarity to the ideal solution (TOPSIS) is applied to select the best solution. Simulated results indicate significant improvements: a 19.39% reduction in voltage deviation, an 18.42% decrease in total real power loss, and an 18.53% reduction in reactive power loss compared to the base case. Additionally, the model accommodates a total of 3.206625 MW of solar PV power in the DS.
Synchronous generator system identification via dynamic simulation using PSS/E: Malaysian case Baswaimi, Saleh; Verayiah, Renuga; Xu, Tan Yi; Panneerchelvan, Nagaraja Rupan; Abidin, Aidil Azwin Zainul; Marsadek, Marayati; Ramasamy, Agileswari K.; Abidin, Izham Zainal; Jaafar, W. Mohd Suhaimi Wan
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i3.pp1658-1672

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.
Modeling, tuning, and validating of exciter and governor in combined-cycle power plants: a practical case study Baswaimi, Saleh; Verayiah, Renuga; Xu, Tan Yi; Panneerchelvan, Nagaraja Rupan; Abidin, Aidil Azwin Zainul; Marsadek, Marayati; Ramasamy, Agileswari K.; Abidin, Izham Zainal; Jaafar, W. Mohd Suhaimi Wan
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i3.pp1645-1657

Abstract

Exciter and governor systems are critical to regulating power output and maintaining stability in power systems. Despite their significance, there is a lack of practical methodologies that leverage real power plant data for modeling, tuning, and validation. This research paper seeks to fill this gap by presenting a methodology that utilizes a transfer function and control algorithms for tuning and validation. The proposed approach is demonstrated through a case study of a practical combined-cycle power plant in Malaysia. The control algorithm's effectiveness is verified through MATLAB and Simulink simulations. Post-tuning assessments confirm the method’s ability to accurately determine tunable control parameter settings, meeting system requirements while ensuring grid stability and reliability. This versatile approach can be applied to various power plant configurations, making it a valuable tool for optimizing operations.
Co-Authors Abidin, Aidil Azwin Zainul Abidin, Izham Zainal Ba-swaimi, Saleh Baswaimi, Saleh Binajjaj, Saeed Ali Jaafar, W. Mohd Suhaimi Wan Marsadek, Marayati Padmanaban, Sanjeevikumar Panneerchelvan, Nagaraja Rupan Ramachandaramurthy, Vigna K. Ramasamy, Agileswari K. Xu, Tan Yi