Insight of direct search methods and module-integrated algorithms for Maximum Power Point Tracking (MPPT) of stand-alone photovoltaic systems

Jieming Ma; Ka Lok Man; T. O. Ting; Hyunshin Lee; Taikyeong Jeong; Jong Kug Sean; Sheng Uei Guan; Prudence W.H. Wong

doi:10.1007/978-3-642-35606-3_55

Insight of direct search methods and module-integrated algorithms for Maximum Power Point Tracking (MPPT) of stand-alone photovoltaic systems

Jieming Ma^*, Ka Lok Man, T. O. Ting, Hyunshin Lee, Taikyeong Jeong, Jong Kug Sean, Sheng Uei Guan, Prudence W.H. Wong

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

By detection of input signal, Maximum Power Point Tracking (MPPT) algorithms are used to maximize the potential output power. Since Perturbation and Observe (P&O) method was first applied in a Photovoltaic (PV) system, a myriad of MPPT algorithms has been proposed. With the pros and cons of various MPPT algorithms, a detailed analysis of several typical direct search and module-integrated MPPT algorithms is presented in this paper. Directions of future work for implementing new MPPT algorithms are also outlined.

Original language	English
Title of host publication	Network and Parallel Computing - 9th IFIP International Conference, NPC 2012, Proceedings
Pages	463-471
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-642-35606-3_55
Publication status	Published - 2012
Event	9th IFIP International Conference on Network and Parallel Computing, NPC 2012 - Gwangju, Korea, Republic of Duration: 6 Sept 2012 → 8 Sept 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7513 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th IFIP International Conference on Network and Parallel Computing, NPC 2012
Country/Territory	Korea, Republic of
City	Gwangju
Period	6/09/12 → 8/09/12

Keywords

Maximum Power Point Tracking (MPPT) algorithms
Perturbation and observe (P&O) method
Photovoltaic (PV) system

UN SDGs

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

Access to Document

10.1007/978-3-642-35606-3_55

Cite this

Ma, J., Man, K. L., Ting, T. O., Lee, H., Jeong, T., Sean, J. K., Guan, S. U., & Wong, P. W. H. (2012). Insight of direct search methods and module-integrated algorithms for Maximum Power Point Tracking (MPPT) of stand-alone photovoltaic systems. In Network and Parallel Computing - 9th IFIP International Conference, NPC 2012, Proceedings (pp. 463-471). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7513 LNCS). https://doi.org/10.1007/978-3-642-35606-3_55

Ma, Jieming ; Man, Ka Lok ; Ting, T. O. et al. / Insight of direct search methods and module-integrated algorithms for Maximum Power Point Tracking (MPPT) of stand-alone photovoltaic systems. Network and Parallel Computing - 9th IFIP International Conference, NPC 2012, Proceedings. 2012. pp. 463-471 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{3fef2fdeb38443419d3c7af073f2c230,

title = "Insight of direct search methods and module-integrated algorithms for Maximum Power Point Tracking (MPPT) of stand-alone photovoltaic systems",

abstract = "By detection of input signal, Maximum Power Point Tracking (MPPT) algorithms are used to maximize the potential output power. Since Perturbation and Observe (P&O) method was first applied in a Photovoltaic (PV) system, a myriad of MPPT algorithms has been proposed. With the pros and cons of various MPPT algorithms, a detailed analysis of several typical direct search and module-integrated MPPT algorithms is presented in this paper. Directions of future work for implementing new MPPT algorithms are also outlined.",

keywords = "Maximum Power Point Tracking (MPPT) algorithms, Perturbation and observe (P&O) method, Photovoltaic (PV) system",

author = "Jieming Ma and Man, {Ka Lok} and Ting, {T. O.} and Hyunshin Lee and Taikyeong Jeong and Sean, {Jong Kug} and Guan, {Sheng Uei} and Wong, {Prudence W.H.}",

year = "2012",

doi = "10.1007/978-3-642-35606-3_55",

language = "English",

isbn = "9783642356056",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "463--471",

booktitle = "Network and Parallel Computing - 9th IFIP International Conference, NPC 2012, Proceedings",

note = "9th IFIP International Conference on Network and Parallel Computing, NPC 2012 ; Conference date: 06-09-2012 Through 08-09-2012",

}

Ma, J , Man, KL, Ting, TO, Lee, H, Jeong, T, Sean, JK, Guan, SU & Wong, PWH 2012, Insight of direct search methods and module-integrated algorithms for Maximum Power Point Tracking (MPPT) of stand-alone photovoltaic systems. in Network and Parallel Computing - 9th IFIP International Conference, NPC 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7513 LNCS, pp. 463-471, 9th IFIP International Conference on Network and Parallel Computing, NPC 2012, Gwangju, Korea, Republic of, 6/09/12. https://doi.org/10.1007/978-3-642-35606-3_55

Insight of direct search methods and module-integrated algorithms for Maximum Power Point Tracking (MPPT) of stand-alone photovoltaic systems. / Ma, Jieming ; Man, Ka Lok; Ting, T. O. et al.
Network and Parallel Computing - 9th IFIP International Conference, NPC 2012, Proceedings. 2012. p. 463-471 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7513 LNCS).

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

TY - GEN

T1 - Insight of direct search methods and module-integrated algorithms for Maximum Power Point Tracking (MPPT) of stand-alone photovoltaic systems

AU - Ma, Jieming

AU - Man, Ka Lok

AU - Ting, T. O.

AU - Lee, Hyunshin

AU - Jeong, Taikyeong

AU - Sean, Jong Kug

AU - Guan, Sheng Uei

AU - Wong, Prudence W.H.

PY - 2012

Y1 - 2012

N2 - By detection of input signal, Maximum Power Point Tracking (MPPT) algorithms are used to maximize the potential output power. Since Perturbation and Observe (P&O) method was first applied in a Photovoltaic (PV) system, a myriad of MPPT algorithms has been proposed. With the pros and cons of various MPPT algorithms, a detailed analysis of several typical direct search and module-integrated MPPT algorithms is presented in this paper. Directions of future work for implementing new MPPT algorithms are also outlined.

AB - By detection of input signal, Maximum Power Point Tracking (MPPT) algorithms are used to maximize the potential output power. Since Perturbation and Observe (P&O) method was first applied in a Photovoltaic (PV) system, a myriad of MPPT algorithms has been proposed. With the pros and cons of various MPPT algorithms, a detailed analysis of several typical direct search and module-integrated MPPT algorithms is presented in this paper. Directions of future work for implementing new MPPT algorithms are also outlined.

KW - Maximum Power Point Tracking (MPPT) algorithms

KW - Perturbation and observe (P&O) method

KW - Photovoltaic (PV) system

UR - http://www.scopus.com/inward/record.url?scp=84871545309&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-35606-3_55

DO - 10.1007/978-3-642-35606-3_55

M3 - Conference Proceeding

AN - SCOPUS:84871545309

SN - 9783642356056

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 463

EP - 471

BT - Network and Parallel Computing - 9th IFIP International Conference, NPC 2012, Proceedings

T2 - 9th IFIP International Conference on Network and Parallel Computing, NPC 2012

Y2 - 6 September 2012 through 8 September 2012

ER -

Ma J , Man KL, Ting TO, Lee H, Jeong T, Sean JK et al. Insight of direct search methods and module-integrated algorithms for Maximum Power Point Tracking (MPPT) of stand-alone photovoltaic systems. In Network and Parallel Computing - 9th IFIP International Conference, NPC 2012, Proceedings. 2012. p. 463-471. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-35606-3_55

Insight of direct search methods and module-integrated algorithms for Maximum Power Point Tracking (MPPT) of stand-alone photovoltaic systems

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Cite this