基于自适应神经模糊推理系统(ANFIS)的mpt -双向分布式发电系统建模与仿真

2015 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2015-05-20 DOI:10.1109/ISITIA.2015.7219980

F. Murdianto, O. Penangsang, A. Priyadi

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引用次数: 25

摘要

光伏系统(PV)广泛应用于各种可再生能源中。光伏发电系统的主要问题是如何获得最大的输出功率。此外，还应考虑配电系统产生的冗余输出功率。本研究利用双向变换器将多余功率用于储能。由于光伏发电和储能系统产生的直流电压将通过逆变器向负载转换为交流电压。本文提出了基于SEPIC转换器的ANFIS搜索优化方法，其搜索效率最高可达99.95%。

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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Modeling and simulation of MPPT-bidirectional using adaptive neuro fuzzy inference system (ANFIS) in distributed energy generation system

Photovoltaic system (PV) is widely used in various renewable energy application. The main problem of PV system is how to get the maximum output power. Furthermore, the redundancy output power generated by on a distribution system should also be considered. This study utilizes the excess power for energy storage using bidirectional converter. Since the DC voltage which generated by PV and the energy storage will be converted into AC voltage using inverter toward load. This paper proposes ANFIS as search optimization method using SEPIC converter with a maximum efficiency of 99.95%.

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2015 International Seminar on Intelligent Technology and Its Applications (ISITIA)

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