Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5483395 | Renewable and Sustainable Energy Reviews | 2017 | 16 Pages |
Abstract
How to promote the energy harvesting performance of traditional two-stage inverters used in photovoltaic (PV) systems is a critical issue in the PV applications. This paper reviews the prevalent maximum power point tracking (MPPT) techniques and the difficulties and performances of using different stage inverter architectures. Based on the findings of the reviews, this study proposes a new hybrid MPPT algorithm to speedily track the MPP of the PV arrays. The algorithm can be used in a single-phase two-stage PV inverter, where the direct current (dc) sensors for tracking the MPP are not required. A current mode control with a phase-locked function is also proposed to combine with the hybrid MPPT method and implemented in the PV inverter. A grid-tied PV power conditioning (PVPC) system with a capacity rating of 4Â kW was constructed as a test sample system. An extensive series of experiments were conducted to examine the basic performance for tracking the dynamic MPP of PV array provided by the proposed method. The test results show that the proposed hybrid MPPT method could produce more energy of 2.72% than the traditional P&O method. Moreover, the comparative experiments for several kinds of microprocessor- and digital signal processor (DSP)-based commercial inverters using different MPPT methods were also conducted. Experimental results demonstrate that the commercial inverter equipped with the proposed hybrid MPPT algorithm has a better energy harvesting performance comparing to other commercial inverters with various MPPT methods. The developed hybrid MPPT algorithm and control scheme are promisingly in energy harvest and are ready to use in the commercial PV systems.
Keywords
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Joe-Air Jiang, Yu-Li Su, Kun-Chang Kuo, Chien-Hao Wang, Min-Sheng Liao, Jen-Cheng Wang, Chen-Kang Huang, Cheng-Ying Chou, Chien-Hsing Lee, Jyh-Cherng Shieh,