A Two-Stage Algorithm to Harvest Maximum Power from Photovoltaic System

Muhammad Hanan; Xin Ai; Muhammad Yaqoob Javed; Muhammad Majid Gulzar; Saqib Ahmad

doi:10.1109/EI2.2018.8582204

A Two-Stage Algorithm to Harvest Maximum Power from Photovoltaic System

Muhammad Hanan, Xin Ai, Muhammad Yaqoob Javed, Muhammad Majid Gulzar, Saqib Ahmad

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Scopus citations

Abstract

Photovoltaic (PV) systems are gradually becoming the key renewable source of electrical energy. But the nonlinear characteristics of the PV module require special techniques to harvest maximum power. The techniques used to track the Maximum Power Point (MPP) from the nonlinear I-V characteristics through power electronic circuits are known as Maximum Power Point Tracking (MPPT) techniques. Although enormous MPPT techniques have been anticipated in literature, each endures its own advantages and disadvantages. This paper proposes a novel hybrid technique to enhance the performance of Incremental conductance (InC) technique. Our proposed technique removes the limitations of InC under rapid changing environmental condition. It improves the efficiency and reduces the oscillation power loss under steady state. A hybrid combination of variable-step sized Incremental Conductance with Fractional Short Circuit Current (FSCC) technique is proposed in this research work. Initially, the FSCC forces the PV system to work near MPP and then InC technique track the exact peak. Matlab/Simulink software is used to implement the proposed hybrid technique. Finally, the results verify its superior performance under rapidly changing environmental conditions.

Original language	English
Title of host publication	2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538685495
DOIs	https://doi.org/10.1109/EI2.2018.8582204
State	Published - 19 Dec 2018
Externally published	Yes
Event	2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Beijing, China Duration: 20 Oct 2018 → 22 Oct 2018

Publication series

Name	2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings

Conference

Conference	2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018
Country/Territory	China
City	Beijing
Period	20/10/18 → 22/10/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Fractional Short Circuit Current (FSCC)
Incremental Conductance (InC)
Maximum Power Point (MPP)
Photovoltaic (PV)

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Control and Optimization

UN SDGs

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

Access to Document

10.1109/EI2.2018.8582204

Cite this

Hanan, M., Ai, X., Javed, M. Y., Majid Gulzar, M., & Ahmad, S. (2018). A Two-Stage Algorithm to Harvest Maximum Power from Photovoltaic System. In 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings Article 8582204 (2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EI2.2018.8582204

Hanan, Muhammad ; Ai, Xin ; Javed, Muhammad Yaqoob et al. / A Two-Stage Algorithm to Harvest Maximum Power from Photovoltaic System. 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. (2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings).

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title = "A Two-Stage Algorithm to Harvest Maximum Power from Photovoltaic System",

abstract = "Photovoltaic (PV) systems are gradually becoming the key renewable source of electrical energy. But the nonlinear characteristics of the PV module require special techniques to harvest maximum power. The techniques used to track the Maximum Power Point (MPP) from the nonlinear I-V characteristics through power electronic circuits are known as Maximum Power Point Tracking (MPPT) techniques. Although enormous MPPT techniques have been anticipated in literature, each endures its own advantages and disadvantages. This paper proposes a novel hybrid technique to enhance the performance of Incremental conductance (InC) technique. Our proposed technique removes the limitations of InC under rapid changing environmental condition. It improves the efficiency and reduces the oscillation power loss under steady state. A hybrid combination of variable-step sized Incremental Conductance with Fractional Short Circuit Current (FSCC) technique is proposed in this research work. Initially, the FSCC forces the PV system to work near MPP and then InC technique track the exact peak. Matlab/Simulink software is used to implement the proposed hybrid technique. Finally, the results verify its superior performance under rapidly changing environmental conditions.",

keywords = "Fractional Short Circuit Current (FSCC), Incremental Conductance (InC), Maximum Power Point (MPP), Photovoltaic (PV)",

author = "Muhammad Hanan and Xin Ai and Javed, \{Muhammad Yaqoob\} and \{Majid Gulzar\}, Muhammad and Saqib Ahmad",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 ; Conference date: 20-10-2018 Through 22-10-2018",

year = "2018",

month = dec,

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doi = "10.1109/EI2.2018.8582204",

language = "English",

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Hanan, M, Ai, X, Javed, MY, Majid Gulzar, M & Ahmad, S 2018, A Two-Stage Algorithm to Harvest Maximum Power from Photovoltaic System. in 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings., 8582204, 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018, Beijing, China, 20/10/18. https://doi.org/10.1109/EI2.2018.8582204

A Two-Stage Algorithm to Harvest Maximum Power from Photovoltaic System. / Hanan, Muhammad; Ai, Xin; Javed, Muhammad Yaqoob et al.
2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8582204 (2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hanan, Muhammad

AU - Ai, Xin

AU - Javed, Muhammad Yaqoob

AU - Majid Gulzar, Muhammad

AU - Ahmad, Saqib

PY - 2018/12/19

Y1 - 2018/12/19

N2 - Photovoltaic (PV) systems are gradually becoming the key renewable source of electrical energy. But the nonlinear characteristics of the PV module require special techniques to harvest maximum power. The techniques used to track the Maximum Power Point (MPP) from the nonlinear I-V characteristics through power electronic circuits are known as Maximum Power Point Tracking (MPPT) techniques. Although enormous MPPT techniques have been anticipated in literature, each endures its own advantages and disadvantages. This paper proposes a novel hybrid technique to enhance the performance of Incremental conductance (InC) technique. Our proposed technique removes the limitations of InC under rapid changing environmental condition. It improves the efficiency and reduces the oscillation power loss under steady state. A hybrid combination of variable-step sized Incremental Conductance with Fractional Short Circuit Current (FSCC) technique is proposed in this research work. Initially, the FSCC forces the PV system to work near MPP and then InC technique track the exact peak. Matlab/Simulink software is used to implement the proposed hybrid technique. Finally, the results verify its superior performance under rapidly changing environmental conditions.

AB - Photovoltaic (PV) systems are gradually becoming the key renewable source of electrical energy. But the nonlinear characteristics of the PV module require special techniques to harvest maximum power. The techniques used to track the Maximum Power Point (MPP) from the nonlinear I-V characteristics through power electronic circuits are known as Maximum Power Point Tracking (MPPT) techniques. Although enormous MPPT techniques have been anticipated in literature, each endures its own advantages and disadvantages. This paper proposes a novel hybrid technique to enhance the performance of Incremental conductance (InC) technique. Our proposed technique removes the limitations of InC under rapid changing environmental condition. It improves the efficiency and reduces the oscillation power loss under steady state. A hybrid combination of variable-step sized Incremental Conductance with Fractional Short Circuit Current (FSCC) technique is proposed in this research work. Initially, the FSCC forces the PV system to work near MPP and then InC technique track the exact peak. Matlab/Simulink software is used to implement the proposed hybrid technique. Finally, the results verify its superior performance under rapidly changing environmental conditions.

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KW - Maximum Power Point (MPP)

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M3 - Conference contribution

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T3 - 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings

BT - 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018

Y2 - 20 October 2018 through 22 October 2018

ER -

Hanan M, Ai X, Javed MY, Majid Gulzar M, Ahmad S. A Two-Stage Algorithm to Harvest Maximum Power from Photovoltaic System. In 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8582204. (2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings). doi: 10.1109/EI2.2018.8582204

A Two-Stage Algorithm to Harvest Maximum Power from Photovoltaic System

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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Cite this