MPPT algorithms based modeling and control for photovoltaic system under variable climatic conditions

被引：18

作者：

Yatimi, Hanane ^{[1
]}

Aroudam, Elhassan ^{[2
]}

机构：

[1] Fac Sci, Phys Dept, Modeling & Simulat Mech Syst Team, Tetouan, Morocco

[2] Abdelmalek Essaadi Univ, Sebta Ave,Mhannech 2 BP 2121, Tetouan 93002, Morocco

来源：

11TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING, INTER-ENG 2017 | 2018年 / 22卷

关键词：

Maximum power point tracking (MPPT); Photovoltaic (PV) energy; Boost converter; Perturbation and Observation (P&O); Sliding Mode Control (SMC);

D O I：

10.1016/j.promfg.2018.03.108

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The output characteristic of a photovoltaic (PV) module is nonlinear and changes with solar irradiance and cell's temperature. Thus, its maximum power point (MPP) is not constant. The use of Maximum Power Point Tracking (MPPT) techniques is primordial. This paper highlights two MPPT techniques: the perturb and observe (P&O) and the sliding mode control (SMC), applied to a standalone PV system under varying climatic conditions. Simulation results show that SMC provides good performance under the climatic changes in term of stability and robustness to irradiance and temperature variations compared to P&O. (C) 2018 The Authors. Published by Elsevier B.V.

引用

页码：757 / 764

页数：8

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