Battery Charge Management for Hybrid PV/Wind/Fuel Cell with Storage Battery

Ahmed F. Bendary , Mohamed M. Ismail
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引用次数: 33

Abstract

Hybrid renewable electric energy generation system become essential to the most of electric networks and the stand-alone systems like the water pumping and telecommunication systems. The renewable sources usually required storage system due to change in the power outputs during the day. Due to increase in demand of using batteries, the charging process of battery system needed to be well managed through an adaptive controlled energy managing system. In this paper a standalone system using photovoltaic, wind generation, fuel cell and storage batteries are contributed in supplying the desired load and the charging balance of batteries is achieved by using AI techniques to enhance battery charging controller performance. The main goal of this paper is to design and implement an integrated smart artificial controller, this controller is responsible for controlling both the battery charge voltage using the boost converter and the other controller is to control the charging current of the battery through DC to DC converter using (ANFIS) and (GA) techniques. This study is implemented using MATLAB /Simulink and the results are presented to show the applicability and effieciency of the proposed technique.

光伏/风能/燃料混合电池与蓄电池的充电管理
混合可再生能源发电系统已成为大多数电网和抽水、电信等独立系统必不可少的组成部分。由于白天电力输出的变化,可再生能源通常需要存储系统。由于电池使用需求的增加,需要通过自适应可控能量管理系统对电池系统的充电过程进行良好的管理。本文利用光伏、风力发电、燃料电池和蓄电池组成的独立系统来提供所需的负载,并利用人工智能技术来提高电池充电控制器的性能,实现电池的充电平衡。本文的主要目标是设计和实现一个集成的智能人工控制器,该控制器负责使用升压转换器控制电池充电电压,另一个控制器负责使用(ANFIS)和(GA)技术通过DC到DC转换器控制电池的充电电流。本研究采用MATLAB /Simulink实现,实验结果表明了该技术的适用性和有效性。
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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