Frequency Control in a Micro grid by Model Predictive Control Optimized by PSO Optimization Algorithm

  • Mohammad Janali Department of Electrical and Electronic Engineering, Majlesi Branch, Islamic Azad University, Majlesi, Isfahan, Iran
  • Amir Hossein Zaeri Department of Electrical and Electronic Engineering, Shahinshahr Branch, Islamic Azad University, Shahinshahr, Isfahan, Iran
Keywords: Micro grid, frequency control, particle swarm optimization algorithm, Model Predictive Control

Abstract

In this paper, the predictive control model is designed for controlling the frequency in a micro grid in the island mode with respect to the disturbances entered into the system. One of the important issues in the micro grid is controlling the frequency in the system. In case of turbulence in the micro grid, when the micro grid is connected to the network, and also in island mode, the predictive control model changes the frequency of the system. The proposed micro grid is intended for three areas. In order to improve the efficiency of the system, the particle swarm optimization algorithm is used to determine the controller parameters including prediction horizon, control horizon, and sampling time.

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Published
2019-12-01
How to Cite
Janali, M., & Zaeri, A. H. (2019). Frequency Control in a Micro grid by Model Predictive Control Optimized by PSO Optimization Algorithm. Majlesi Journal of Mechatronic Systems, 8(4), 33-40. Retrieved from http://journals.iaumajlesi.ac.ir/ms/index/index.php/ms/article/view/413
Section
Articles