Author:
Rekioua D.,Mokrani Z.,Kakouche K.,Rekioua T.,Oubelaid A.,Logerais P. O.,Ali Enas,Bajaj Mohit,Berhanu Milkias,Ghoneim Sherif S. M.
Abstract
AbstractIn 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.
Publisher
Springer Science and Business Media LLC
Reference80 articles.
1. Hassani, H. et al. Feasibility of a standalone photovoltaic/battery system with hydrogen production. J. Energy Storage 31(101644), 1–18 (2020).
2. Kumar, V., Sharma, V., Arya, Y., Naresh, R. & Singh, A. Stochastic wind energy integrated multi source power system control via a novel model predictive controller based on Harris Hawks optimization. Energy Sources Part A Recov. Util. Environ. Effects 44(4), 10694–10719 (2022).
3. Huang, S., Huang, M. & Lyu, Y. Seismic performance analysis of a wind turbine with a monopile foundation affected by sea ice based on a simple numerical method. Eng. Appl. Comput. Fluid Mech. 15(1), 1113–1133. https://doi.org/10.1080/19942060.2021.1939790 (2021).
4. Eke, I., Saka, M., Gozde, H., Arya, Y. & Cengiz, T. M. Heuristic optimization based dynamic weighted state feedback approach for 2DOF PI-controller in automatic voltage regulator. Eng. Sci. Technol. Int. J. 24(4), 899–910 (2021).
5. Liu, G. Data collection in MI-assisted wireless powered underground sensor networks: Directions, recent advances, and challenges. IEEE Commun. Mag. 59(4), 132–138. https://doi.org/10.1109/MCOM.001.2000921 (2021).
Cited by
12 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献