Maximum Power Point Tracking (MPPT) via Weightless Swarm Algorithm (WSA) on cloudy days

T. O. Ting; K. L. Man; Sheng Uei Guan; J. K. Seon; T. T. Jeong; Prudence W.H. Wong

doi:10.1109/APCCAS.2012.6419040

Maximum Power Point Tracking (MPPT) via Weightless Swarm Algorithm (WSA) on cloudy days

T. O. Ting^*
, K. L. Man
, Sheng Uei Guan
, J. K. Seon
, T. T. Jeong
, Prudence W.H. Wong

^*Corresponding author for this work

LG Corporation
Myongji University
University of Liverpool

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

11 Citations (Scopus)

Abstract

The atmospheric conditions such as environmental temperature T and irradiance G are inputs to PhotoVoltaic (PV) arrays. Both inputs change the P-V characteristic curve and thereby shift the operating point from the Maximum Power Point (MPP). In order to adjust such a shifted point to optimal, a MPPT method based on our Weightless Swarm Algorithm (WSA) is proposed in this paper and implemented on the Solarex MSX60 PV module. The optimization model is formulated and presented in this paper. Simulation results show that conventional methods such as P&O and IncCond fail to track the MPP efficiently on cloudy days whereby irradiance G changes abruptly. On the other hand, our proposed WSA is able to overcome this limitation with a little extra processing time.

Original language	English
Title of host publication	2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012
Pages	336-339
Number of pages	4
DOIs	https://doi.org/10.1109/APCCAS.2012.6419040
Publication status	Published - 2012
Event	2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012 - Kaohsiung, Taiwan, Province of China Duration: 2 Dec 2012 → 5 Dec 2012

Publication series

Name	IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

Conference

Conference	2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012
Country/Territory	Taiwan, Province of China
City	Kaohsiung
Period	2/12/12 → 5/12/12

UN SDGs

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

SDG 7 Affordable and Clean Energy

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10.1109/APCCAS.2012.6419040

Cite this

Ting, T. O., Man, K. L., Guan, S. U., Seon, J. K., Jeong, T. T., & Wong, P. W. H. (2012). Maximum Power Point Tracking (MPPT) via Weightless Swarm Algorithm (WSA) on cloudy days. In 2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012 (pp. 336-339). Article 6419040 (IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS). https://doi.org/10.1109/APCCAS.2012.6419040

@inproceedings{d0aa0706d5264e54b2399517e35faf05,

title = "Maximum Power Point Tracking (MPPT) via Weightless Swarm Algorithm (WSA) on cloudy days",

abstract = "The atmospheric conditions such as environmental temperature T and irradiance G are inputs to PhotoVoltaic (PV) arrays. Both inputs change the P-V characteristic curve and thereby shift the operating point from the Maximum Power Point (MPP). In order to adjust such a shifted point to optimal, a MPPT method based on our Weightless Swarm Algorithm (WSA) is proposed in this paper and implemented on the Solarex MSX60 PV module. The optimization model is formulated and presented in this paper. Simulation results show that conventional methods such as P\&O and IncCond fail to track the MPP efficiently on cloudy days whereby irradiance G changes abruptly. On the other hand, our proposed WSA is able to overcome this limitation with a little extra processing time.",

author = "Ting, \{T. O.\} and Man, \{K. L.\} and Guan, \{Sheng Uei\} and Seon, \{J. K.\} and Jeong, \{T. T.\} and Wong, \{Prudence W.H.\}",

year = "2012",

doi = "10.1109/APCCAS.2012.6419040",

language = "English",

isbn = "9781457717291",

series = "IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS",

pages = "336--339",

booktitle = "2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012",

note = "2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012 ; Conference date: 02-12-2012 Through 05-12-2012",

}

Ting, TO, Man, KL, Guan, SU, Seon, JK, Jeong, TT & Wong, PWH 2012, Maximum Power Point Tracking (MPPT) via Weightless Swarm Algorithm (WSA) on cloudy days. in 2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012., 6419040, IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS, pp. 336-339, 2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012, Kaohsiung, Taiwan, Province of China, 2/12/12. https://doi.org/10.1109/APCCAS.2012.6419040

Maximum Power Point Tracking (MPPT) via Weightless Swarm Algorithm (WSA) on cloudy days. / Ting, T. O.; Man, K. L.; Guan, Sheng Uei et al.
2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012. 2012. p. 336-339 6419040 (IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS).

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

TY - GEN

T1 - Maximum Power Point Tracking (MPPT) via Weightless Swarm Algorithm (WSA) on cloudy days

AU - Ting, T. O.

AU - Man, K. L.

AU - Guan, Sheng Uei

AU - Seon, J. K.

AU - Jeong, T. T.

AU - Wong, Prudence W.H.

PY - 2012

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N2 - The atmospheric conditions such as environmental temperature T and irradiance G are inputs to PhotoVoltaic (PV) arrays. Both inputs change the P-V characteristic curve and thereby shift the operating point from the Maximum Power Point (MPP). In order to adjust such a shifted point to optimal, a MPPT method based on our Weightless Swarm Algorithm (WSA) is proposed in this paper and implemented on the Solarex MSX60 PV module. The optimization model is formulated and presented in this paper. Simulation results show that conventional methods such as P&O and IncCond fail to track the MPP efficiently on cloudy days whereby irradiance G changes abruptly. On the other hand, our proposed WSA is able to overcome this limitation with a little extra processing time.

AB - The atmospheric conditions such as environmental temperature T and irradiance G are inputs to PhotoVoltaic (PV) arrays. Both inputs change the P-V characteristic curve and thereby shift the operating point from the Maximum Power Point (MPP). In order to adjust such a shifted point to optimal, a MPPT method based on our Weightless Swarm Algorithm (WSA) is proposed in this paper and implemented on the Solarex MSX60 PV module. The optimization model is formulated and presented in this paper. Simulation results show that conventional methods such as P&O and IncCond fail to track the MPP efficiently on cloudy days whereby irradiance G changes abruptly. On the other hand, our proposed WSA is able to overcome this limitation with a little extra processing time.

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T3 - IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

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BT - 2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012

T2 - 2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012

Y2 - 2 December 2012 through 5 December 2012

ER -

Maximum Power Point Tracking (MPPT) via Weightless Swarm Algorithm (WSA) on cloudy days

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