Fuzzy Logic Controller Based Power Management Scheme with Enhanced Stability for a Solar Panel/Wind Turbine Generator/Fuel Cell/Batteries/Power Supply Designed for Industrial Loads

Nikita Omase, Sangita B. Patil, Rupali Parabhane
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Abstract

An intelligent power management controller is part of a new power conditioner topology proposed in this study, as well. Battery backup is used in this topology to maximize the usage of many renewable energy sources like solar, wind, and fuel cell energy while also ensuring more reliability than a single renewable energy-based power supply [2]. Using a neural network and fuzzy logic controller, the suggested multiple-input converter keeps the point of common coupling's voltage constant while also managing power flow effectively. A small number of switches on the power conditioner reduces the overall component count and associated losses, saving you money. When determining the battery's state of charge, a fuzzy logic controller will link the battery bank to a sink or a source of input power, depending on the amount of power needed for the load. In addition, the simulation results show that the proposed system possesses important stability qualities.
基于模糊逻辑控制器的电源管理方案与增强稳定性的太阳能电池板/风力发电机/燃料电池/电池/电源设计用于工业负载
智能电源管理控制器是本研究中提出的新电源调节器拓扑的一部分。在该拓扑中使用备用电池,以最大限度地利用太阳能、风能和燃料电池等多种可再生能源,同时确保比单一可再生能源供电更可靠[2]。该多输入变换器采用神经网络和模糊逻辑控制器,在保持共耦合点电压恒定的同时有效地控制潮流。在电源调节器上使用少量的开关可以减少整体的组件数量和相关的损耗,从而节省您的资金。当确定电池的充电状态时,模糊逻辑控制器将根据负载所需的电量将电池组连接到输入电源的接收器或源。仿真结果表明,该系统具有重要的稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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