Insight of Direct Search Methods and Module-Integrated Algorithms for Maximum Power Point Tracking (MPPT) of Stand-Alone Photovoltaic Systems

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

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, Prudence W H Wong + Show 6 more

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https://doi.org/10.1007/978-3-642-35606-3_55

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Publication Date: Jan 1, 2012
Citations: 3	License type: cc-by

Affiliation: University of Liverpool, Myongji University, Xi’an Jiaotong-Liverpool University

#Maximum Power Point Tracking Algorithms #Maximum Power Point Tracking + Show 8 more

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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.

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