Robust Power Management for Smart Microgrid Based on an Intelligent Controller

Hamid R. Alsanad; Yousif Al Mashhadany; Sameer Algburi; Ahmed K. Abbas; Takialddin Al Smadi

doi:10.18196/jrc.v6i1.23554

Authors

Hamid R. Alsanad University of Anbar
Yousif Al Mashhadany University of Anbar https://orcid.org/0000-0003-3943-8395
Sameer Algburi Al-Kitab University
Ahmed K. Abbas University of Anbar https://orcid.org/0000-0002-3233-3008
Takialddin Al Smadi Jerash University

DOI:

https://doi.org/10.18196/jrc.v6i1.23554

Keywords:

Adaptive Network-based Fuzzier Inference System - Drooping Controller (ANFISDC)

Abstract

A microgrid (MG) is an autonomous electrical system that can operate independently or link to the grid. It is usual practice to use a single grid organization to improve energy access and ensure a consistent supply of electricity. Microgrids (MGs) can be unstable if islanded given that they lack the predominant grid's high friction and are subject to large voltage and frequency swings. Standards, directions, and accessibility and interoperability criteria all address the dependability of a microgrid, the use of distributed local resources, and cybersecurity. This work presents a revolutionary intelligent controller, Adaptive. This study proposes a novel intelligent controller, the Adaptive Network-based Fuzzier Inference System - Drooping Controller (ANFISDC), with a drooping coefficient modification, to provide optimal power sharing while minimizing power overloading/curtailment. To provide the essential stability and lucrative power sharing for the islanded the microgrid, the dropping coefficient is changed to account for the power fluctuations of RES (renewable energy source) components as well as the relationship between electricity production and demand. Furthermore, secondary control is used to restore the frequency/voltage drop caused by the droop control. Simulations with load fluctuations in MATLAB/Simulink show that the proposed strategy improves the stability and economic viability of microgrids powered by energy from renewable sources based on droop. The outcomes of the simulation demonstrate how well the suggested ANFISDC approach works to keep the microgrid operating steadily and profitably.

Author Biography

Ahmed K. Abbas, University of Anbar

Ahmed Khudhair Abbas received his bachelor’s degree in the Department of Electrical Power Techniques Engineering from the Al-Mamon University College in Baghdad, (2012). Where he also obtained his Master of Science (M.Sc.) degree in 2015 in school of Electrical system engineering (Electrical Power Engineering) from University Malaysia Perlis (UniMAP) in Malaysia. In 2016, he became an assistant lecturer in Anbar University and in 2021 became a lecturer. He is presently working in a University Headquarter, Construction and Projects Department in Anbar University, Iraq. He works since 2016, a lecturer in the Department of Electrical Engineering / Engineering College / University of Anbar. He has many publishing that included, seven Journals paper most of them (Scopus, international journal and local journal), and three conferences paper

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