Design of maximum power point tracking (MPPT) on two axes solar tracker based on particle swarm fuzzy

Imam Abadi; Dwi Nur Fitriyanah; Arfa Ul Umam

doi:10.1063/1.5095293

Design of maximum power point tracking (MPPT) on two axes solar tracker based on particle swarm fuzzy

Imam Abadi^*, Dwi Nur Fitriyanah, Arfa Ul Umam

^*Corresponding author for this work

Institut Teknologi Sepuluh Nopember

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

7 Citations (Scopus)

Abstract

The renewable energy currently becomes a research topic that is constantly being improved. Efforts to find alternative energy sources as a substitute for fossil fuels still continue to be discussed. Indonesia is geographically located on the equator has a big potential for solar energy. It can't be utilized optimally because still constrained conversion of PV modules that still relatively low. One of the solutions offered is to fit up solar panels with solar tracking system and Maximum Power Point Tracking (MPPT) algorithm. The method of solar tracking system seeks PV panels always perpendicular to the direction of sunlight, whereas MPPT serves to trace the maximum power PV may produce in various climatic conditions. In this study, MPPT-based Fuzzy-Particle Swarm Optimization (PSO) which integrates with fixed and tracking PV panel system to increase PV module power conversion. PSO plays a role in the search for the best fuzzy membership function parameters designed based on the defined objective function that is Mean Square Error (MSE). The result shows that MPPT Fuzzy-PSO solar tracker can increase the power output from PV by 28.84% for 10 hours of operation compared with MPPT Fuzzy-PSO fixed system.

Original language	English
Title of host publication	Advanced Industrial Technology in Engineering Physics
Editors	Agus Muhamad Hatta, Katherin Indriawati, Gunawan Nugroho, Totok Ruki Biyanto, Dhany Arifianto, Doty Dewi Risanti, Sonny Irawan
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735418189
DOIs	https://doi.org/10.1063/1.5095293
Publication status	Published - 29 Mar 2019
Event	2nd Engineering Physics International Conference 2018, EPIC 2018 - Surabaya, Indonesia Duration: 31 Oct 2018 → 2 Nov 2018

Publication series

Name	AIP Conference Proceedings
Volume	2088
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	2nd Engineering Physics International Conference 2018, EPIC 2018
Country/Territory	Indonesia
City	Surabaya
Period	31/10/18 → 2/11/18

UN SDGs

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

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10.1063/1.5095293

Cite this

Abadi, I., Fitriyanah, D. N., & Umam, A. U. (2019). Design of maximum power point tracking (MPPT) on two axes solar tracker based on particle swarm fuzzy. In A. M. Hatta, K. Indriawati, G. Nugroho, T. R. Biyanto, D. Arifianto, D. D. Risanti, & S. Irawan (Eds.), Advanced Industrial Technology in Engineering Physics Article 020041 (AIP Conference Proceedings; Vol. 2088). American Institute of Physics Inc.. https://doi.org/10.1063/1.5095293

Abadi, Imam ; Fitriyanah, Dwi Nur ; Umam, Arfa Ul. / Design of maximum power point tracking (MPPT) on two axes solar tracker based on particle swarm fuzzy. Advanced Industrial Technology in Engineering Physics. editor / Agus Muhamad Hatta ; Katherin Indriawati ; Gunawan Nugroho ; Totok Ruki Biyanto ; Dhany Arifianto ; Doty Dewi Risanti ; Sonny Irawan. American Institute of Physics Inc., 2019. (AIP Conference Proceedings).

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title = "Design of maximum power point tracking (MPPT) on two axes solar tracker based on particle swarm fuzzy",

abstract = "The renewable energy currently becomes a research topic that is constantly being improved. Efforts to find alternative energy sources as a substitute for fossil fuels still continue to be discussed. Indonesia is geographically located on the equator has a big potential for solar energy. It can't be utilized optimally because still constrained conversion of PV modules that still relatively low. One of the solutions offered is to fit up solar panels with solar tracking system and Maximum Power Point Tracking (MPPT) algorithm. The method of solar tracking system seeks PV panels always perpendicular to the direction of sunlight, whereas MPPT serves to trace the maximum power PV may produce in various climatic conditions. In this study, MPPT-based Fuzzy-Particle Swarm Optimization (PSO) which integrates with fixed and tracking PV panel system to increase PV module power conversion. PSO plays a role in the search for the best fuzzy membership function parameters designed based on the defined objective function that is Mean Square Error (MSE). The result shows that MPPT Fuzzy-PSO solar tracker can increase the power output from PV by 28.84% for 10 hours of operation compared with MPPT Fuzzy-PSO fixed system.",

author = "Imam Abadi and Fitriyanah, {Dwi Nur} and Umam, {Arfa Ul}",

note = "Publisher Copyright: {\textcopyright} 2019 American Institute of Physics Inc. All rights reserved.; 2nd Engineering Physics International Conference 2018, EPIC 2018 ; Conference date: 31-10-2018 Through 02-11-2018",

year = "2019",

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Abadi, I , Fitriyanah, DN & Umam, AU 2019, Design of maximum power point tracking (MPPT) on two axes solar tracker based on particle swarm fuzzy. in AM Hatta, K Indriawati, G Nugroho, TR Biyanto, D Arifianto, DD Risanti & S Irawan (eds), Advanced Industrial Technology in Engineering Physics., 020041, AIP Conference Proceedings, vol. 2088, American Institute of Physics Inc., 2nd Engineering Physics International Conference 2018, EPIC 2018, Surabaya, Indonesia, 31/10/18. https://doi.org/10.1063/1.5095293

Design of maximum power point tracking (MPPT) on two axes solar tracker based on particle swarm fuzzy. / Abadi, Imam ; Fitriyanah, Dwi Nur; Umam, Arfa Ul.
Advanced Industrial Technology in Engineering Physics. ed. / Agus Muhamad Hatta; Katherin Indriawati; Gunawan Nugroho; Totok Ruki Biyanto; Dhany Arifianto; Doty Dewi Risanti; Sonny Irawan. American Institute of Physics Inc., 2019. 020041 (AIP Conference Proceedings; Vol. 2088).

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

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AU - Abadi, Imam

AU - Fitriyanah, Dwi Nur

AU - Umam, Arfa Ul

PY - 2019/3/29

Y1 - 2019/3/29

N2 - The renewable energy currently becomes a research topic that is constantly being improved. Efforts to find alternative energy sources as a substitute for fossil fuels still continue to be discussed. Indonesia is geographically located on the equator has a big potential for solar energy. It can't be utilized optimally because still constrained conversion of PV modules that still relatively low. One of the solutions offered is to fit up solar panels with solar tracking system and Maximum Power Point Tracking (MPPT) algorithm. The method of solar tracking system seeks PV panels always perpendicular to the direction of sunlight, whereas MPPT serves to trace the maximum power PV may produce in various climatic conditions. In this study, MPPT-based Fuzzy-Particle Swarm Optimization (PSO) which integrates with fixed and tracking PV panel system to increase PV module power conversion. PSO plays a role in the search for the best fuzzy membership function parameters designed based on the defined objective function that is Mean Square Error (MSE). The result shows that MPPT Fuzzy-PSO solar tracker can increase the power output from PV by 28.84% for 10 hours of operation compared with MPPT Fuzzy-PSO fixed system.

AB - The renewable energy currently becomes a research topic that is constantly being improved. Efforts to find alternative energy sources as a substitute for fossil fuels still continue to be discussed. Indonesia is geographically located on the equator has a big potential for solar energy. It can't be utilized optimally because still constrained conversion of PV modules that still relatively low. One of the solutions offered is to fit up solar panels with solar tracking system and Maximum Power Point Tracking (MPPT) algorithm. The method of solar tracking system seeks PV panels always perpendicular to the direction of sunlight, whereas MPPT serves to trace the maximum power PV may produce in various climatic conditions. In this study, MPPT-based Fuzzy-Particle Swarm Optimization (PSO) which integrates with fixed and tracking PV panel system to increase PV module power conversion. PSO plays a role in the search for the best fuzzy membership function parameters designed based on the defined objective function that is Mean Square Error (MSE). The result shows that MPPT Fuzzy-PSO solar tracker can increase the power output from PV by 28.84% for 10 hours of operation compared with MPPT Fuzzy-PSO fixed system.

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M3 - Conference contribution

AN - SCOPUS:85064406419

T3 - AIP Conference Proceedings

BT - Advanced Industrial Technology in Engineering Physics

A2 - Hatta, Agus Muhamad

A2 - Indriawati, Katherin

A2 - Nugroho, Gunawan

A2 - Biyanto, Totok Ruki

A2 - Arifianto, Dhany

A2 - Risanti, Doty Dewi

A2 - Irawan, Sonny

PB - American Institute of Physics Inc.

T2 - 2nd Engineering Physics International Conference 2018, EPIC 2018

Y2 - 31 October 2018 through 2 November 2018

ER -

Abadi I , Fitriyanah DN, Umam AU. Design of maximum power point tracking (MPPT) on two axes solar tracker based on particle swarm fuzzy. In Hatta AM, Indriawati K, Nugroho G, Biyanto TR, Arifianto D, Risanti DD, Irawan S, editors, Advanced Industrial Technology in Engineering Physics. American Institute of Physics Inc. 2019. 020041. (AIP Conference Proceedings). doi: 10.1063/1.5095293

Design of maximum power point tracking (MPPT) on two axes solar tracker based on particle swarm fuzzy

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