Tuning of automatic voltage regulator and power system stabilizer using particle swarm optimization

• Autores: Ñaupari Huatuco, Zocimo, Rodrigues, Frank Wesley, Molina Rodriguez, Yuri Percy
• Formato: artículo
• Fecha de Publicación: 2023
• Institución: Universidad Nacional de Ingeniería
• Repositorio: Revistas - Universidad Nacional de Ingeniería
• Lenguaje: español
• OAI Identifier: oai:oai:revistas.uni.edu.pe:article/1075
• Enlace del recurso: https://revistas.uni.edu.pe/index.php/tecnia/article/view/1075
• Nivel de acceso: acceso abierto
• Materia: Optimización por enjambre de partículas; Estabilidad Dinámica; Estabilizador del sistema de potencia; Regulador de tensión automático; Particle Swarm Optimization; Automatic Voltage Regulator; Power System Stabilizer

This paper presents a new optimization technique for simultaneous tuning of the parameters into the controllers associated with the control voltage oscillation and damping in synchronous generators. The parameters of the Automatic Voltage Regulator - AVR and the Power System Stabilizer – PSS are optimized thought a modification proposed in the Modified Particle Swarm Optimization technique (called MPSO - Modified Particle Swarm Optimization). To analyze the performance of the controllers, an objective function was used, based on system time response to a variation in the reference voltage of the machine. The parameters obtained for AVR and PSS are compared with the values ​​calculated by the conventional adjustment technique and by the MPSO technique. The results of the simulation show that the technique proposed was efficient in tuning the AVR and PSS parameters, highlighting its simplicity, low computational strength and good convergence characteristics.