African Vulture Optimization-Based Optimal Control Strategy for Voltage Control of Islanded DC Microgrids

Basma Salah, Hany M. Hasanien, Fadia M. A. Ghali, Yasser M. Alsayed, Shady H. E. Abdel Aleem and Adel El-Shahat ()
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Basma Salah: Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt
Hany M. Hasanien: Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt
Fadia M. A. Ghali: Power Electronics and Energy Conversion Department, Electronics Research Institute, Cairo 12622, Egypt
Yasser M. Alsayed: Power Electronics and Energy Conversion Department, Electronics Research Institute, Cairo 12622, Egypt
Shady H. E. Abdel Aleem: Department of Electrical Engineering, Valley High Institute of Engineering and Technology, Science Valley Academy, Qalyubia 44971, Egypt
Adel El-Shahat: Energy Technology Program, School of Engineering Technology, Purdue University, West Lafayette, IN 47907, USA

Sustainability, 2022, vol. 14, issue 19, 1-26

Abstract: DC microgrids have gained a lot of interest recently due to increasing dc loads such as electric vehicles and the penetration of renewable energy sources (RESs). However, DC microgrids face challenges concerning bus voltage fluctuations, which severely impact the system stability when subjected to uncertainties of load and RESs. This paper focuses on maintaining the stability of a DC-bus through voltage control for a dc islanded microgrid using the concept of cascade double-loop control. The rule in cascade double-loop control is based on a proportional-integral (PI) controller tuned through a new nature-inspired African vulture optimization algorithm (AVOA). The paper presents a comparison of the performance of the African vulture optimization algorithm against particle swarm optimization (PSO) under several operating conditions. The simulation considers actual data for the solar irradiance and temperature and sudden load changes. The system is implemented on MATLAB/Simulink. The results demonstrate that the AVOA-based PI controller performs better in voltage regulation than the PSO-based PI controller.

Keywords: African vulture optimization algorithm; dc microgrid; voltage regulation; renewable energy sources (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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