A novel photovoltaic maximum power point tracking technique based on grasshopper optimized fuzzy logic approach

被引：37

作者：

Bhukya, Laxman ^{[1
]}

Nandiraju, Srikanth ^{[1
]}

机构：

[1] Natl Inst Technol, Dept Elect Engn, Warangal 506004, Telangana, India

来源：

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | 2020年 / 45卷 / 16期

关键词：

PV system; Maximum power point tracking; Grasshopper optimization; Membership functions; Fuzzy logic control; INCREMENTAL CONDUCTANCE ALGORITHM; O MPPT ALGORITHM; HARDWARE IMPLEMENTATION; OBSERVE ALGORITHM; PERTURB; SYSTEM; SIMULATION;

D O I：

10.1016/j.ijhydene.2020.01.219

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

The maximum power point tracking (MPPT) in the PV system has become complex due to the stochastic nature of the load, intermittency in solar irradiance and ambient temperature. To address this problem, a novel Grasshopper optimized fuzzy logic control (FLC) approach based MPPT technique is proposed in this paper. In this proposed MPPT, grasshopper optimization is used to tune the membership functions (MFs) of FLC to handle all uncertainties caused by variable irradiances and temperatures. The performance of the proposed grasshopper optimized FLC based MPPT is studied under rapidly changing irradiance and temperature. The proposed MPPT overcomes the limitations such as slow convergence speed, steady-state oscillations, lower tracking efficiency as encountered in conventional methods viz. perturb & observed (P&O) and FLC techniques. The feasibility of the proposed MPPT is validated through experimentation. The effectiveness of the proposed scheme is compared with P&O and also with FLC MPPT. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

引用

页码：9416 / 9427

页数：12

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