A Novel and Efficient Global Maximum Power Extracting Algorithm for Rapidly Varying and Partial Shading Conditions

Shun Chung Wang; Song Pei Ye; Yi Hua Liu

doi:10.1109/ICKII55100.2022.9983599

A Novel and Efficient Global Maximum Power Extracting Algorithm for Rapidly Varying and Partial Shading Conditions

Shun Chung Wang^*, Song Pei Ye, Yi Hua Liu

^*Corresponding author for this work

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

2 Scopus citations

Abstract

This paper describes a novel two-phase-based global maximal power point (GMPP) tracking (GMPPT) technique to achieve GMPP harvest effectively. During the previous phase, the working voltage (WV) approaching the maximal power point (MPP) under various partial shading (PS) conditions (PSCs) is estimated by conducting wide-ranging simulations, the perturb-and-observe (P&O) with an alpha scaling factor (AF-P&O) algorithm, during the second phase, takes over the next searching from the obtained WV to fast and accurately manipulate the operating point at the GMPP. A prototype of 600 W MPPT system has been constructed. Simulations are done to authenticate theoretical analysis of the proposed GMPP tracker. Compared with the previous deterministic cuckoo searching method, the simulation results in all 120 PS scenarios with non-repeatable irradiance show that the average improvements in different tracking performance evaluation indexes were better than the prior counterpart.

Original language	English
Title of host publication	Proceedings of the 2022 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022
Editors	Teen-Hang Meen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	247-252
Number of pages	6
ISBN (Electronic)	9781665479295
DOIs	https://doi.org/10.1109/ICKII55100.2022.9983599
State	Published - 2022
Externally published	Yes
Event	5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022 - Hualien, Taiwan Duration: 22 07 2022 → 24 07 2022

Publication series

Name	Proceedings of the 2022 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022

Conference

Conference	5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022
Country/Territory	Taiwan
City	Hualien
Period	22/07/22 → 24/07/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

alpha factor perturb-and-observe
partially shaded conditions
two-phase search

Access to Document

10.1109/ICKII55100.2022.9983599

Cite this

Wang, S. C., Ye, S. P., & Liu, Y. H. (2022). A Novel and Efficient Global Maximum Power Extracting Algorithm for Rapidly Varying and Partial Shading Conditions. In T.-H. Meen (Ed.), Proceedings of the 2022 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022 (pp. 247-252). (Proceedings of the 2022 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICKII55100.2022.9983599

Wang, Shun Chung ; Ye, Song Pei ; Liu, Yi Hua. / A Novel and Efficient Global Maximum Power Extracting Algorithm for Rapidly Varying and Partial Shading Conditions. Proceedings of the 2022 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022. editor / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 247-252 (Proceedings of the 2022 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022).

@inproceedings{272e9596b5154872a6e253dbc9da9a11,

title = "A Novel and Efficient Global Maximum Power Extracting Algorithm for Rapidly Varying and Partial Shading Conditions",

abstract = "This paper describes a novel two-phase-based global maximal power point (GMPP) tracking (GMPPT) technique to achieve GMPP harvest effectively. During the previous phase, the working voltage (WV) approaching the maximal power point (MPP) under various partial shading (PS) conditions (PSCs) is estimated by conducting wide-ranging simulations, the perturb-and-observe (P&O) with an alpha scaling factor (AF-P&O) algorithm, during the second phase, takes over the next searching from the obtained WV to fast and accurately manipulate the operating point at the GMPP. A prototype of 600 W MPPT system has been constructed. Simulations are done to authenticate theoretical analysis of the proposed GMPP tracker. Compared with the previous deterministic cuckoo searching method, the simulation results in all 120 PS scenarios with non-repeatable irradiance show that the average improvements in different tracking performance evaluation indexes were better than the prior counterpart.",

keywords = "alpha factor perturb-and-observe, partially shaded conditions, two-phase search",

author = "Wang, {Shun Chung} and Ye, {Song Pei} and Liu, {Yi Hua}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022 ; Conference date: 22-07-2022 Through 24-07-2022",

year = "2022",

doi = "10.1109/ICKII55100.2022.9983599",

language = "英语",

series = "Proceedings of the 2022 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022",

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

pages = "247--252",

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address = "美国",

}

Wang, SC, Ye, SP & Liu, YH 2022, A Novel and Efficient Global Maximum Power Extracting Algorithm for Rapidly Varying and Partial Shading Conditions. in T-H Meen (ed.), Proceedings of the 2022 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022. Proceedings of the 2022 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022, Institute of Electrical and Electronics Engineers Inc., pp. 247-252, 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022, Hualien, Taiwan, 22/07/22. https://doi.org/10.1109/ICKII55100.2022.9983599

A Novel and Efficient Global Maximum Power Extracting Algorithm for Rapidly Varying and Partial Shading Conditions. / Wang, Shun Chung; Ye, Song Pei; Liu, Yi Hua.
Proceedings of the 2022 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022. ed. / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2022. p. 247-252 (Proceedings of the 2022 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022).

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

TY - GEN

T1 - A Novel and Efficient Global Maximum Power Extracting Algorithm for Rapidly Varying and Partial Shading Conditions

AU - Wang, Shun Chung

AU - Ye, Song Pei

AU - Liu, Yi Hua

PY - 2022

Y1 - 2022

N2 - This paper describes a novel two-phase-based global maximal power point (GMPP) tracking (GMPPT) technique to achieve GMPP harvest effectively. During the previous phase, the working voltage (WV) approaching the maximal power point (MPP) under various partial shading (PS) conditions (PSCs) is estimated by conducting wide-ranging simulations, the perturb-and-observe (P&O) with an alpha scaling factor (AF-P&O) algorithm, during the second phase, takes over the next searching from the obtained WV to fast and accurately manipulate the operating point at the GMPP. A prototype of 600 W MPPT system has been constructed. Simulations are done to authenticate theoretical analysis of the proposed GMPP tracker. Compared with the previous deterministic cuckoo searching method, the simulation results in all 120 PS scenarios with non-repeatable irradiance show that the average improvements in different tracking performance evaluation indexes were better than the prior counterpart.

AB - This paper describes a novel two-phase-based global maximal power point (GMPP) tracking (GMPPT) technique to achieve GMPP harvest effectively. During the previous phase, the working voltage (WV) approaching the maximal power point (MPP) under various partial shading (PS) conditions (PSCs) is estimated by conducting wide-ranging simulations, the perturb-and-observe (P&O) with an alpha scaling factor (AF-P&O) algorithm, during the second phase, takes over the next searching from the obtained WV to fast and accurately manipulate the operating point at the GMPP. A prototype of 600 W MPPT system has been constructed. Simulations are done to authenticate theoretical analysis of the proposed GMPP tracker. Compared with the previous deterministic cuckoo searching method, the simulation results in all 120 PS scenarios with non-repeatable irradiance show that the average improvements in different tracking performance evaluation indexes were better than the prior counterpart.

KW - alpha factor perturb-and-observe

KW - partially shaded conditions

KW - two-phase search

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BT - Proceedings of the 2022 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022

Y2 - 22 July 2022 through 24 July 2022

ER -

Wang SC, Ye SP, Liu YH. A Novel and Efficient Global Maximum Power Extracting Algorithm for Rapidly Varying and Partial Shading Conditions. In Meen TH, editor, Proceedings of the 2022 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 247-252. (Proceedings of the 2022 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022). doi: 10.1109/ICKII55100.2022.9983599

A Novel and Efficient Global Maximum Power Extracting Algorithm for Rapidly Varying and Partial Shading Conditions

Abstract

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Keywords

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