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 proceedingConference Proceedingpeer-review

2 Citations (Scopus)


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 languageEnglish
Title of host publicationNetwork and Parallel Computing - 9th IFIP International Conference, NPC 2012, Proceedings
Number of pages9
Publication statusPublished - 2012
Event9th IFIP International Conference on Network and Parallel Computing, NPC 2012 - Gwangju, Korea, Republic of
Duration: 6 Sept 20128 Sept 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7513 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th IFIP International Conference on Network and Parallel Computing, NPC 2012
Country/TerritoryKorea, Republic of


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

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