Fuzzy Mamdani-based Model Predictive Load Frequency Control

Mohammad Saeid Akbari, Ali Akbar Safavi, Navid Vafamand, Tomislav Dragicevic, Jose Rodriguez

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

Resumen

In this paper, an adaptive artificial fuzzy Mamdani-based model predictive approach for load frequency regulation of an isolated microgrid (IMG) is presented. A generalized state-space representation of an IMG comprising power sources is derived and exploited to predict the future behavior and control inputs for the IMG in order to regulate the frequency. The considered adaptive MPC is on the basis of a conventional model predictive approach that is equipped by a fuzzy logic tuning mechanism. A rule-based fuzzy logic is considered to tune the weight of the cost function in the model predictive controller (MPC), which highly impacts the minimization of the frequency deviation in the system. To show the advantages of the fuzzy adaptive MPC, it is compared with a conventional MPC in which the weights of the cost function is chosen by trial and error and fixed during the simulation. OPAL Real-time (RT) results show that the closed-loop system response performance based on the suggested fuzzy MPC is enhanced for different scenarios of the IMG load frequency system.

Idioma originalInglés
Título de la publicación alojada2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas7-12
Número de páginas6
ISBN (versión digital)9781728169903
DOI
EstadoPublicada - 28 sep 2020
Evento11th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 - Dubrovnik, Croacia
Duración: 28 sep 20201 oct 2020

Serie de la publicación

Nombre2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020

Conferencia

Conferencia11th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020
PaísCroacia
CiudadDubrovnik
Período28/09/201/10/20

Áreas temáticas de ASJC Scopus

  • Ingeniería energética y tecnologías de la energía
  • Energías renovables, sostenibilidad y medio ambiente
  • Ingeniería eléctrica y electrónica
  • Control y optimización

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