Gravitational Search Algorithm (GSA) based Maximum Power Point Tracking in a Solar PV based Generation System

Imran Pervez; Adil Sarwar; Mohammad Tayyab; Mohammad Sarfraz

doi:10.1109/i-PACT44901.2019.8960130

Gravitational Search Algorithm (GSA) based Maximum Power Point Tracking in a Solar PV based Generation System

Imran Pervez
, Adil Sarwar
, Mohammad Tayyab
, Mohammad Sarfraz

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

27 Scopus citations

Abstract

Global warming and energy crisis in the world for the last few decades have motivated the researchers to search for sustainable, alternative, and environmental friendly sources of energy. Among many available resources solar energy is one of the most suitable source of energy for bulk production of power by using solar photovoltaic system (PVS). As the overall operating efficiency of solar PVS is low, hence, it becomes very much essential to operate it at maximum power point for extracting maximum power from solar PVS irrespective of the environmental conditions. A metaheuristic based algorithm (Gravitational search) has been used in this paper to track the maximum power point under partial shading condition. A thorough simulation analysis is presented to validate the performance of the algorithm in tracking the optimal power point.

Original language	English
Title of host publication	2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538681909
DOIs	https://doi.org/10.1109/i-PACT44901.2019.8960130
State	Published - Mar 2019
Externally published	Yes
Event	2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019 - Vellore, India Duration: 22 Mar 2019 → 23 Mar 2019

Publication series

Name	2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019

Conference

Conference	2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019
Country/Territory	India
City	Vellore
Period	22/03/19 → 23/03/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Gravitational Search Algorithm (GSA)
Maximum Power Point Tracking
Solar PV System (PVS)

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Control and Optimization
Computer Networks and Communications
Computer Science Applications
Energy Engineering and Power Technology

Access to Document

10.1109/i-PACT44901.2019.8960130

Cite this

Pervez, I., Sarwar, A., Tayyab, M., & Sarfraz, M. (2019). Gravitational Search Algorithm (GSA) based Maximum Power Point Tracking in a Solar PV based Generation System. In 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019 Article 8960130 (2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/i-PACT44901.2019.8960130

Pervez, Imran ; Sarwar, Adil ; Tayyab, Mohammad et al. / Gravitational Search Algorithm (GSA) based Maximum Power Point Tracking in a Solar PV based Generation System. 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019).

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title = "Gravitational Search Algorithm (GSA) based Maximum Power Point Tracking in a Solar PV based Generation System",

abstract = "Global warming and energy crisis in the world for the last few decades have motivated the researchers to search for sustainable, alternative, and environmental friendly sources of energy. Among many available resources solar energy is one of the most suitable source of energy for bulk production of power by using solar photovoltaic system (PVS). As the overall operating efficiency of solar PVS is low, hence, it becomes very much essential to operate it at maximum power point for extracting maximum power from solar PVS irrespective of the environmental conditions. A metaheuristic based algorithm (Gravitational search) has been used in this paper to track the maximum power point under partial shading condition. A thorough simulation analysis is presented to validate the performance of the algorithm in tracking the optimal power point.",

keywords = "Gravitational Search Algorithm (GSA), Maximum Power Point Tracking, Solar PV System (PVS)",

author = "Imran Pervez and Adil Sarwar and Mohammad Tayyab and Mohammad Sarfraz",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019 ; Conference date: 22-03-2019 Through 23-03-2019",

year = "2019",

month = mar,

doi = "10.1109/i-PACT44901.2019.8960130",

language = "English",

series = "2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Pervez, I, Sarwar, A, Tayyab, M & Sarfraz, M 2019, Gravitational Search Algorithm (GSA) based Maximum Power Point Tracking in a Solar PV based Generation System. in 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019., 8960130, 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019, Institute of Electrical and Electronics Engineers Inc., 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019, Vellore, India, 22/03/19. https://doi.org/10.1109/i-PACT44901.2019.8960130

Gravitational Search Algorithm (GSA) based Maximum Power Point Tracking in a Solar PV based Generation System. / Pervez, Imran; Sarwar, Adil; Tayyab, Mohammad et al.
2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8960130 (2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019).

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

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AU - Sarwar, Adil

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AU - Sarfraz, Mohammad

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Y1 - 2019/3

N2 - Global warming and energy crisis in the world for the last few decades have motivated the researchers to search for sustainable, alternative, and environmental friendly sources of energy. Among many available resources solar energy is one of the most suitable source of energy for bulk production of power by using solar photovoltaic system (PVS). As the overall operating efficiency of solar PVS is low, hence, it becomes very much essential to operate it at maximum power point for extracting maximum power from solar PVS irrespective of the environmental conditions. A metaheuristic based algorithm (Gravitational search) has been used in this paper to track the maximum power point under partial shading condition. A thorough simulation analysis is presented to validate the performance of the algorithm in tracking the optimal power point.

AB - Global warming and energy crisis in the world for the last few decades have motivated the researchers to search for sustainable, alternative, and environmental friendly sources of energy. Among many available resources solar energy is one of the most suitable source of energy for bulk production of power by using solar photovoltaic system (PVS). As the overall operating efficiency of solar PVS is low, hence, it becomes very much essential to operate it at maximum power point for extracting maximum power from solar PVS irrespective of the environmental conditions. A metaheuristic based algorithm (Gravitational search) has been used in this paper to track the maximum power point under partial shading condition. A thorough simulation analysis is presented to validate the performance of the algorithm in tracking the optimal power point.

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KW - Maximum Power Point Tracking

KW - Solar PV System (PVS)

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M3 - Conference contribution

AN - SCOPUS:85078990733

T3 - 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019

BT - 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019

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Y2 - 22 March 2019 through 23 March 2019

ER -

Pervez I, Sarwar A, Tayyab M, Sarfraz M. Gravitational Search Algorithm (GSA) based Maximum Power Point Tracking in a Solar PV based Generation System. In 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8960130. (2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019). doi: 10.1109/i-PACT44901.2019.8960130

Gravitational Search Algorithm (GSA) based Maximum Power Point Tracking in a Solar PV based Generation System

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this