Optimization and intelligent power management control for an autonomous hybrid wind turbine photovoltaic diesel generator with batteries

D Rekioua; Z Mokrani; K Kakouche; T Rekioua; A Oubelaid; P O Logerais; Enas Ali; Mohit Bajaj; Milkias Berhanu; Sherif S M Ghoneim

doi:10.1038/s41598-023-49067-4

Optimization and intelligent power management control for an autonomous hybrid wind turbine photovoltaic diesel generator with batteries

Sci Rep. 2023 Dec 9;13(1):21830. doi: 10.1038/s41598-023-49067-4.

Authors

D Rekioua¹, Z Mokrani¹, K Kakouche¹, T Rekioua¹, A Oubelaid¹, P O Logerais², Enas Ali³, Mohit Bajaj^{4

5

6}, Milkias Berhanu⁷, Sherif S M Ghoneim⁸

Affiliations

¹ Laboratoire LTII, Faculté de Technologie, Université de Bejaia, 06000, Bejaïa, Algeria.
² CERTES, IUT de Sénart-Fontainebleau, Univ. Paris-Est, Lieusaint, France.
³ Faculty of Engineering and Technology, Future University in Egypt, New Cairo, 11835, Egypt.
⁴ Department of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun, 248002, India. thebestbajaj@gmail.com.
⁵ Graphic Era Hill University, Dehradun, 248002, India. thebestbajaj@gmail.com.
⁶ Applied Science Research Center, Applied Science Private University, Amman, 11937, Jordan. thebestbajaj@gmail.com.
⁷ Department of Electrical Power and Control Engineering, Adama Science and Technology University, Adama, Ethiopia. mil_ber2000@astu.edu.et.
⁸ Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia.

Abstract

In this paper, a critical issue related to power management control in autonomous hybrid systems is presented. Specifically, challenges in optimizing the performance of energy sources and backup systems are proposed, especially under conditions of heavy loads or low renewable energy output. The problem lies in the need for an efficient control mechanism that can enhance power availability while protecting and extending the lifespan of the various power sources in the system. Furthermore, it is necessary to adapt the system's operations to variations in climatic conditions for sustained effectiveness. To address the identified problem. It is proposed the use of an intelligent power management control (IPMC) system employing fuzzy logic control (FLC). The IPMC is designed to optimize the performance of energy sources and backup systems. It aims to predict and adjust the system's operating processes based on variations in climatic conditions, providing a dynamic and adaptive control strategy. The integration of FLC is specifically emphasized for its effectiveness in balancing multiple power sources and ensuring a steady and secure operation of the system. The proposed IPMC with FLC offers several advantages over existing strategies. Firstly, it showcases enhanced power availability, particularly under challenging conditions such as heavy loads or low renewable energy output. Secondly, the system protects and extends the lifespan of the power sources, contributing to long-term sustainability. The dynamic adaptation to climatic variations adds a layer of resilience to the system, making it well-suited for diverse geographical and climatic conditions. The use of realistic data and simulations in MATLAB/Simulink, along with real-time findings from the RT-LAB simulator, indicates the reliability and practical applicability of the proposed IPMC strategy. Efficient load supply and preserved batteries further underscore the benefits of the fuzzy logic-based control strategy in achieving a well-balanced and secure system operation.