Simulation and Analysis of Perturbation and Observation-Based Self-Adaptable Step Size Maximum Power Point Tracking Strategy with Low Power Loss for Photovoltaics

Yinxiao Zhu, Moon Keun Kim and Huiqing Wen
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Yinxiao Zhu: Department of Electrical and Electronic Engineering, Xi’an Jiaotong–Liverpool University, Suzhou 215123, China
Moon Keun Kim: Department of Architecture, Xi’an Jiaotong–Liverpool University, Suzhou 215123, China
Huiqing Wen: Department of Electrical and Electronic Engineering, Xi’an Jiaotong–Liverpool University, Suzhou 215123, China

Energies, 2018, vol. 12, issue 1, 1-20

Abstract: Photovoltaic (PV) techniques are widely used in daily life. In addition to the material characteristics and environmental conditions, maximum power point tracking (MPPT) techniques are an efficient means to maximize the output power and improve the utilization of solar power. However, the conventional fixed step size perturbation and observation (P&O) algorithm results in perturbations and power loss around the maximum power point in steady-state operation. To reduce the power loss in steady-state operation and improve the response speed of MPPT, this study proposes a self-adaptable step size P&O-based MPPT algorithm with infinitesimal perturbations. This algorithm combines four techniques to upgrade the response speed and reduce the power loss: (1) system operation state determination, (2) perturbation direction decision, (3) adaptable step size, and 4) natural oscillation control. The simulation results validate the proposed algorithm and illustrate its performances in operational procedures.

Keywords: perturbation and observation; adjustable step size; low power loss; maximum power point tracking (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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