Power System Stabilizer based on Model Predictive Control

[EN] A model predictive power system stabilizer is proposed in this paper to damp power oscillations in an electric power system (EPS). The design of the stabilizer is optimal in the sense that its parameters are determined by using off-line particle swarm optimization (PSO) technique. The proposed methodology is applied to an EPS composed by a single machine connected to an infinite bus (SMIB). The analysis is performed through a small signal stability analysis, deriving incremental equations linearized around an operating point. The results obtained by the proposed method are compared with a conventional power system stabilizer, also optimized by PSO. Through numerous computer simulations under different operating conditions andperturbations on the SMIB, it was possible to establish some advantages of the proposed technique as compared with the conventional technique.[ES] Se propone un estabilizador de potencia predictivo para amortiguar oscilaciones de potencia en un sistema eléctrico de potencia(SEP) formado por una sola máquina conectada a una barra infinita (Single Machine Infinite Bus, SMIB). Este enfoque considera un análisis de estabilidad de pequeña señal, usando un modelo incremental alrededor de un punto de operación. El estabilizador proporciona señales de control óptimas, debido a que además de utilizar el controlador predictivo basado en modelo (Model Predictive Controller, MPC) sus parámetros se optimizan fuera de línea empleando un algoritmo de optimización por enjambre de partículas (Particle Swarm Optimization, PSO). Su comportamiento se compara con un estabilizador del sistema potencia convencional, con parámetros también optimizados con PSO fuera de línea. Para validar la metodología propuesta, se presentan numerosas simulaciones de respuestas dinámicas del SMIB, para diferentes condiciones de operación y perturbaciones.Este trabajo ha contado con el apoyo de CONICYT-Chile, a través del proyecto FB0809 “Centro Avanzado de Tecnología para la Minería” (AMTC)”. El segundo autor agradece el apoyo de CONICYT / FONDECYT / (N ° 3140604).Duarte-Mermoud, MA.; Milla, F. (2018). Estabilizador de Sistemas de Potencia usando Control Predictivo basado en Modelo. Revista Iberoamericana de Automática e Informática industrial. 15(3):286-296. https://doi.org/10.4995/riai.2018.10056OJS286296153Abido. M.A., 2002. 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