基于模糊控制器的光伏/燃料电池/锂离子电池/超级电容器不可预测、波动、高动态三相交流负载的能量管理

Yahia Ayat, PhD Abd Essalam Badoud, Saad Mekhilef Professor, Samir Gassab Professor
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摘要

介绍。如今,环境污染成为一个紧迫的问题,毫无疑问,它影响着人类和生活在世界上的其他生物的健康。氢能增长97.3%,预计仍将是世界上最大的绿色能源。由此可见,氢是能源结构中必不可少的元素之一,在21世纪具有广泛应用的巨大潜力。目的。本文旨在提出一种基于模糊逻辑控制的能源管理策略,其中包括一个专用于三相交流可变负载(不可预测的高动态)供电的混合可再生能源系统。光伏(PV)、燃料电池(FC)、锂离子电池和超级电容器(SC)是构成可再生混合电力系统的四种来源;所有这些源都耦合在DC-link总线上。为了保证在负荷快速变化和负荷暂态时快速响应的优势,本研究中采用了直接将SC连接到DC-link母线上。新鲜事物。电源(PV/FC/Battery/SC)根据其动态进行协调,以保持直流电压在其参考电压附近。本文采用模糊控制策略实现的主要目标是降低氢消耗和延长电池寿命。方法。为了验证模糊控制策略的有效性,在同一系统中进行了仿真,并与管理流程图策略进行了比较。实验结果证实,该电池的耗氢量降至26.5 g, SOC约为62.2-65,实现了预期目标。
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Energy management based on a fuzzy controller of a photovoltaic/fuel cell/Li-ion battery/supercapacitor for unpredictable, fluctuating, high-dynamic three-phase AC load
Introduction. Nowadays, environmental pollution becomes an urgent issue that undoubtedly influences the health of humans and other creatures living in the world. The growth of hydrogen energy increased 97.3 % and was forecast to remain the world’s largest source of green energy. It can be seen that hydrogen is one of the essential elements in the energy structure as well as has great potential to be widely used in the 21st century. Purpose. This paper aims to propose an energy management strategy based a fuzzy logic control, which includes a hybrid renewable energy sources system dedicated to the power supply of a three-phase AC variable load (unpredictable high dynamic). Photovoltaic (PV), fuel cell (FC), Li-ion battery, and supercapacitor (SC) are the four sources that make up the renewable hybrid power system; all these sources are coupled in the DC-link bus. Unlike usual the SC was connected to the DC-link bus directly in this research work in order to ensure the dominant advantage which is a speedy response during load fast change and loads transient. Novelty. The power sources (PV/FC/Battery/SC) are coordinated based on their dynamics in order to keep the DC voltage around its reference. Among the main goals achieved by the fuzzy control strategy in this work are to reduce hydrogen consumption and increase battery lifetime. Methods. This is done by controlling the FC current and by state of charge (SOC) of the battery and SC. To verify the fuzzy control strategy, the simulation was carried out with the same system and compared with the management flowchart strategy. The results obtained confirmed that the hydrogen consumption decreased to 26.5 g and the SOC for the battery was around 62.2-65 and this proves the desired goal.
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