Fuzzy Mamdani-based Model Predictive Load Frequency Control

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-12
Number of pages6
ISBN (Electronic)9781728169903
DOIs
Publication statusPublished - 28 Sep 2020
Event11th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 - Dubrovnik, Croatia
Duration: 28 Sep 20201 Oct 2020

Publication series

Name2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020

Conference

Conference11th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020
Country/TerritoryCroatia
CityDubrovnik
Period28/09/201/10/20

Keywords

  • Fuzzy logic
  • Isolated microgrid
  • Load frequency control (LFC)
  • model predictive control (MPC)
  • Online cost function tuning

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

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