Neural Network Energy Management-Based Nonlinear Control of a DC Micro-Grid with Integrating Renewable Energies

Khalil Jouili, Mabrouk Jouili, Alsharef Mohammad, Abdulrahman J. Babqi and Walid Belhadj ()
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Khalil Jouili: Laboratory of Advanced Systems, Polytechnic School of Tunisia (EPT), B.P. 743, Marsa 2078, Tunisia
Mabrouk Jouili: ETIS, CNRS UMR 8051, CY Cergy Paris University, ENSEA, 6 Avenue du Ponceau, 95014 Cergy, France
Alsharef Mohammad: Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia
Abdulrahman J. Babqi: Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia
Walid Belhadj: Physics Department, Faculty of Science, Umm AL-Qura University, P.O. Box 715, Makkah 24382, Saudi Arabia

Energies, 2024, vol. 17, issue 13, 1-23

Abstract: The broad acceptance of sustainable and renewable energy sources as a means of integrating them into electrical power networks is essential to promote sustainable development. Microgrids using direct currents (DCs) are becoming more and more popular because of their great energy efficiency and straightforward design. In this work, we discuss the control of a PV-based renewable energy system and a battery- and supercapacitor-based energy storage system in a DC microgrid. We describe a hierarchical control approach based on sliding-mode controllers and the Lyapunov stability theory. To balance the load and generation, a fuzzy logic-based energy management system has been created. Using a neural network, maximum power defects for the PV system were determined. The global asymptotic stability of the framework has been verified using Lyapunov stability analysis. In order to simulate the proposed DC microgrid and controllers, MATLAB/SimulinkR (2019a) was utilized. The outcomes show that the system operates effectively with changing production and consumption.

Keywords: renewable energy generation; DC microgrid; fuzzy logic system; sliding mode controller; Lyapunov stability (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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