基于模糊的改进增量电导PV系统MPPT算法

2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2020-07-01 DOI:10.1109/CONECCT50063.2020.9198384

Nagaraja Kumari.CH, V.S.V Kaumudi Pravallika

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引用次数: 1

摘要

最大功率点跟踪(MPPT)是一项重要的技术，而且是在不同气候条件下从太阳能光伏系统获取电力的精确选择。本文提出了一种改进的增量电导最大功率点跟踪算法，并结合模糊控制器实现了最大功率点的有效跟踪。在不同的温度和辐照条件下，模糊控制器能有效地减小输出的振荡，并能快速响应。本文在MATLAB/Simulink编程环境下，对采用模糊控制器的改进增量电导算法与采用PI控制器的改进增量电导算法、Perturb和Observe MPPT方法以及增量电导MPPT方法进行了对比评价，表明所提方法在各种大气条件下都具有突出的有效性。

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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Fuzzy based Improved Incremental Conductance MPPT algorithm in PV System

The Maximum Power Point Tracking (MPPT) is one of the significant techniques and furthermore the precise option that helps in acquiring power from the solar photovoltaic system under differing climatic conditions. This paper aims to apply an improved incremental conductance MPPT algorithm with the fuzzy logic Controller to track the Maximum Power Point (MPP) effectively. The Fuzzy controller indicates its effective viability in reducing oscillations in output with fast response under distinct temperature and irradiation conditions. In this paper, a comparative evaluation between Improved Incremental Conductance algorithm imposed fuzzy controller with that to an improved incremental conductance algorithm with PI controller, Perturb and Observe MPPT method and Incremental conductance MPPT methods can be observed under MATLAB/Simulink program environment and the proposed method shows its prominent effectiveness under various atmospheric conditions.

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2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)

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