An improved perturbation and observation based maximum power point tracking method for photovoltaic systems

Ammar Hussein Mutlag; Azah Mohamed; Hussain Shareef

doi:10.11113/jt.v78.8887

An improved perturbation and observation based maximum power point tracking method for photovoltaic systems

Ammar Hussein Mutlag
, Azah Mohamed
, Hussain Shareef

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

In photovoltaic (PV) system, maximum power tracking (MPPT) is crucial to improve the system performance. Irradiance and temperature are the two important parameters that affect MPPT. The conventional perturbation and observation (P&O) based MPPT algorithm does not accurately track the PV maximum power point. Therefore, this paper presents an improved P&O algorithm (Im-P&O) based on variable perturbation. The idea behind the Im-P&O algorithm is to produce variable step changes in the reference current/voltage for fast tracking of the PV maximum power point. The Im-P&O based MPPT is designed for the 25 SolarTIFSTF-120P6 PV panels, with a capacity of 3 kW peak. A complete PV system is modeled using the MATLAB/Simulink. Simulation results showed that the Im-P&O based MPPT achieved faster and accurate performance compared with the conventional P&O algorithm.

Original language	English
Pages (from-to)	19-25
Number of pages	7
Journal	Jurnal Teknologi
Volume	78
Issue number	6-2
DOIs	https://doi.org/10.11113/jt.v78.8887
Publication status	Published - 2016
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Maximum power tracking
Perturb and observe algorithm
Photovoltaic

ASJC Scopus subject areas

General Engineering

Access to Document

10.11113/jt.v78.8887

Cite this

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title = "An improved perturbation and observation based maximum power point tracking method for photovoltaic systems",

abstract = "In photovoltaic (PV) system, maximum power tracking (MPPT) is crucial to improve the system performance. Irradiance and temperature are the two important parameters that affect MPPT. The conventional perturbation and observation (P\&O) based MPPT algorithm does not accurately track the PV maximum power point. Therefore, this paper presents an improved P\&O algorithm (Im-P\&O) based on variable perturbation. The idea behind the Im-P\&O algorithm is to produce variable step changes in the reference current/voltage for fast tracking of the PV maximum power point. The Im-P\&O based MPPT is designed for the 25 SolarTIFSTF-120P6 PV panels, with a capacity of 3 kW peak. A complete PV system is modeled using the MATLAB/Simulink. Simulation results showed that the Im-P\&O based MPPT achieved faster and accurate performance compared with the conventional P\&O algorithm.",

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year = "2016",

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}

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T1 - An improved perturbation and observation based maximum power point tracking method for photovoltaic systems

AU - Mutlag, Ammar Hussein

AU - Mohamed, Azah

AU - Shareef, Hussain

PY - 2016

Y1 - 2016

N2 - In photovoltaic (PV) system, maximum power tracking (MPPT) is crucial to improve the system performance. Irradiance and temperature are the two important parameters that affect MPPT. The conventional perturbation and observation (P&O) based MPPT algorithm does not accurately track the PV maximum power point. Therefore, this paper presents an improved P&O algorithm (Im-P&O) based on variable perturbation. The idea behind the Im-P&O algorithm is to produce variable step changes in the reference current/voltage for fast tracking of the PV maximum power point. The Im-P&O based MPPT is designed for the 25 SolarTIFSTF-120P6 PV panels, with a capacity of 3 kW peak. A complete PV system is modeled using the MATLAB/Simulink. Simulation results showed that the Im-P&O based MPPT achieved faster and accurate performance compared with the conventional P&O algorithm.

AB - In photovoltaic (PV) system, maximum power tracking (MPPT) is crucial to improve the system performance. Irradiance and temperature are the two important parameters that affect MPPT. The conventional perturbation and observation (P&O) based MPPT algorithm does not accurately track the PV maximum power point. Therefore, this paper presents an improved P&O algorithm (Im-P&O) based on variable perturbation. The idea behind the Im-P&O algorithm is to produce variable step changes in the reference current/voltage for fast tracking of the PV maximum power point. The Im-P&O based MPPT is designed for the 25 SolarTIFSTF-120P6 PV panels, with a capacity of 3 kW peak. A complete PV system is modeled using the MATLAB/Simulink. Simulation results showed that the Im-P&O based MPPT achieved faster and accurate performance compared with the conventional P&O algorithm.

KW - Maximum power tracking

KW - Perturb and observe algorithm

KW - Photovoltaic

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An improved perturbation and observation based maximum power point tracking method for photovoltaic systems

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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