Stability Enhancement of Hybrid Wind-Diesel Systems via SVC and PSO-Optimized Voltage and Frequency Control

Document Type : Research paper

Authors

1 Faculty of Engineering, Universidad Tecnologica de los Andes , Andahuaylas, Peru.

2 Academic Department of Philosophy and Art, National University of Trujillo, Trujillo. Peru

3 Departamento Académico of Turismo y Hotelería, Universidad de San Martin de Porres, Lima , Perú

4 Faculty of Agricultural Sciences Professional School of Forestry and Environmental Engineering, National Autonomous University of Chota, Chota, Peru

5 Department of graduate School, National University of San Cristobal de Huamanga, Ayacucho, Perú.

6 Department of Basic Sciences, National Amazonian University of Madre de Dios, Puerto Maldonado, Peru.

7 Department of Food Industries Engineering, national frontier university, Sullana, Peru.

Abstract

Nowadays, distributed generation (DG) systems with renewable energies are increasingly used to supply a portion of fluctuating electric loads. However, the intermittent nature of these systems leads to variable frequency and voltage, posing challenges for consistent energy supply. This paper addresses the challenges of variable frequency and voltage in DG systems powered by renewable energy sources. It models a hybrid wind-diesel system in MATLAB to optimize voltage and frequency control using a Particle Swarm Optimization (PSO) algorithm with Sine-Cosine Acceleration Coefficients (SCAC). Simulation results show that the optimized Proportional-Integral (PI) controller reduces frequency deviations to 0.21 Hz under a 1% active power disturbance and minimizes voltage deviations with support from a Static Var Compensator (SVC). The system stabilizes rapidly, achieving a settling time of 0.4 seconds, demonstrating the advantages of the SCAC-PSO approach over traditional methods.

Keywords

Main Subjects

Journal of Operation and Automation in Power Engineering
Volume 12, Special Issue (Open)
Advanced Technologies for Resilient and Efficient Microgrid Management: Innovations in Energy Optimization, Security, and Integration
2024

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History

  • Receive Date: 02 July 2024
  • Revise Date: 05 January 2025
  • Accept Date: 08 January 2025
  • First Publish Date: 08 January 2025

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