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基于可再生能源的独立混合系统的智能控制与管理。

Smart control and management for a renewable energy based stand-alone hybrid system.

作者信息

Kechida Abdelhak, Gozim Djamal, Toual Belgacem, Alharthi Mosleh M, Agajie Takele Ferede, Ghoneim S M Sherif, Ghaly Ramy N R

机构信息

Applied Automation and Industrial Diagnostics Laboratory, Ziane Achour University Djelfa, Djelfa, Algeria.

Renewable Energy Systems Applications Laboratory (LASER), Ziane Achour University Djelfa, Djelfa, Algeria.

出版信息

Sci Rep. 2024 Dec 30;14(1):32039. doi: 10.1038/s41598-024-83826-1.

DOI:10.1038/s41598-024-83826-1
PMID:39738545
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11685469/
Abstract

This paper addresses the smart management and control of an independent hybrid system based on renewable energies. The suggested system comprises a photovoltaic system (PVS), a wind energy conversion system (WECS), a battery storage system (BSS), and electronic power devices that are controlled to enhance the efficiency of the generated energy. Regarding the load side, the system comprises AC loads, DC loads, and a water pump. An Adaptive Neuro-Fuzzy Inference System (ANFIS)-based MPPT technique is suggested to enhance the efficiency of the PVS and WECS. This technology provided good performance compared with the Perturb and Observe (P&O) algorithm and MPPT-based fuzzy logic controller (FLC). The use of the ANFIS-PI proposed to control the bidirectional converter accomplished voltage stabilization for the DC bus. This work also came with a fuzzy logic-based algorithm to manage the load side that depends on battery charge ratio, solar radiation, and wind speed. According to results obtained in the MATLAB/Simulink environment, the proposed technologies were found to have performed well. The goal we were also pursuing was achieved through the full use of the energy generated by the proposed algorithm. The proposed study holds great potential for remote regions.

摘要

本文论述了基于可再生能源的独立混合系统的智能管理与控制。所建议的系统包括一个光伏系统（PVS）、一个风能转换系统（WECS）、一个电池存储系统（BSS）以及用于控制以提高发电效率的电力电子设备。在负载侧，该系统包括交流负载、直流负载和一台水泵。提出了一种基于自适应神经模糊推理系统（ANFIS）的最大功率点跟踪（MPPT）技术，以提高光伏系统和风能转换系统的效率。与扰动观察（P&O）算法和基于MPPT的模糊逻辑控制器（FLC）相比，该技术具有良好的性能。所提出的用于控制双向变换器的ANFIS-PI实现了直流母线的电压稳定。这项工作还提出了一种基于模糊逻辑的算法来管理负载侧，该算法取决于电池充电率、太阳辐射和风速。根据在MATLAB/Simulink环境中获得的结果，发现所提出的技术表现良好。通过充分利用所提出算法产生的能量，我们所追求的目标也得以实现。所提出的研究在偏远地区具有巨大潜力。

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