优化电池能源管理,使用改进的2型模糊逻辑方法
Mohamed Naoui1, Mabrouka Romdhane2, Abdelmalek Gacem3
1Processes, Energy, Environment and Electrical Systems (LR18ES34), National Engineering School of Gabes, University of Gabes, 6072, Gabes , Tunisia. mednaouiing@yahoo.com.
Scientific reports
|March 1, 2026
概括
本研究介绍了一种改进的模糊逻辑能源管理系统 (EMS),用于优化具有电池存储的光伏 (PV) 系统. 改进后的系统有效地管理能源,降低成本,提高储存效率.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 整合可再生能源的整合.
背景情况:
- 能源管理系统 (EMS) 对于将光伏 (PV) 和风能系统等可再生能源 (RES) 与电能存储系统 (ESS) 集成到智能电网中至关重要.
- 传统的EMS通常缺乏用于高级实时运行和存储管理的计算能力,特别是在可再生能源集成的情况下.
研究的目的:
- 介绍和验证一种改进的基于2型模糊逻辑 (T2FL) 的EMS,用于优化与电池存储相结合的光伏系统.
- 通过边缘计算技术提高EMS性能,实现实时控制和存储管理.
主要方法:
- 开发了一种改进的T2FL控制系统,将价格,电荷状态 (SOC) 和能量差异作为输入,并扩展了45个规则的规则基础.
- 基于T2FL的EMS在MATLAB/Simulink平台上实施,并使用真实世界的系统数据进行验证.
- 性能与传统基于规则的EMS进行了比较.
主要成果:
- 基于T2FL的EMS在优化各种操作条件下的储能管理方面表现出更高的效率.
- 改进的T2FL算法有效地减少了能源管理中的不确定性.
- 该系统通过优化存储利用率,实现了经济高效的能源供应.
结论:
- 通过边缘计算实现的基于T2FL的EMS为优化带有电池存储的光伏系统提供了可行和有效的解决方案.
- 该研究强调了选择适当的EMS策略的重要性,以最大限度地提高存储效率并最大限度地降低能源成本.
- 与传统方法相比,增强的T2FL方法提供了更高的性能,特别是在复杂的智能电网环境中.
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