Enhancing microgrid renewable energy integration at SEKEM farm

Mohamed M. Reda; Mohamed I. Elsayed; M.A. Moustafa Hassan; Hatem M. Seoudy

doi:10.1016/j.gloei.2024.11.003

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Enhancing microgrid renewable energy integration at SEKEM farm

Electricity Market Technologies for Renewable Energy Development | 更新时间：2026-09-20

- Enhancing microgrid renewable energy integration at SEKEM farm
- Global Energy Interconnection Vol. 7, Issue 6, Pages: 761-772(2024)
- 作者机构：
  
  1. Department of Electrical Engineering, May University,Cairo,Egypt,11769
  2. Department of Electrical Engineering, El-Azhar University,Cairo,Egypt,11651
  3. Department of Electrical Power, Cairo University,Cairo,Egypt,12613
  4. Department of Electrical Power and Machine, The Higher Institute of Engineering, Elshorouk,Egypt,11765
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gloei.2024.11.003
  CLC：
- Online First：16 December 2024，
  
  Published：16 December 2024
- 稿件说明：
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Mohamed M. Reda, Mohamed I. Elsayed, M.A. Moustafa Hassan, et al. Enhancing microgrid renewable energy integration at SEKEM farm[J]. Global Energy Interconnection, 2024, 7(6): 761-772.
DOI：

Mohamed M. Reda, Mohamed I. Elsayed, M.A. Moustafa Hassan, et al. Enhancing microgrid renewable energy integration at SEKEM farm[J]. Global Energy Interconnection, 2024, 7(6): 761-772. DOI： 10.1016/j.gloei.2024.11.003.

摘要

Abstract

This study explores the feasibility of implementing a hybrid microgrid system powered by renewable energy sources. Including solar photovoltaics

wind energy

and fuel cells to ensure a reliable and sustainable electricity supply for the SEKEM farm in WAHAT

Egypt. The study utilizes MATLAB/Simulink software to conduct simulations based on sun irradiation and wind speed data. Various control techniques

such as the proportional-integral (PI) controller

Fuzzy Logic Controller for PI tuning (fuzzy-PI)

and neuro-fuzzy controllers

were evaluated to improve the performance of the microgrid. The results demonstrate that the Fuzzy-PI control strategy outperforms the alternative control systems

enhancing the overall dependability and long-term viability of energy provision. The hybrid system was integrated with a voltage source control (VSC) and fuzzy PI controller

which effectively addressed power fluctuations and improved the stability and reliability of the energy supply. Furthermore

it provides insightful information on how to design and implement a 100% renewable energy system

with the fuzzy PI controller emerging as a viable method of control that can guarantee the system’s resilience and outperform other approaches

such as the standalone PI controller and the neuro-fuzzy controller.

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