Photovoltaic modified β-parameter-based MPPT method with fast tracking

Li, Xingshuo, Wen, Huiqing, Jiang, Lin, Lim, Eng Gee, Du, Yang, and Zhao, Chenhao (2016) Photovoltaic modified β-parameter-based MPPT method with fast tracking. Journal of Power Electronics, 16 (1). pp. 9-17.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: https://doi.org/10.6113/JPE.2016.16.1.9
 
19
2


Abstract

Maximum power point tracking (MPPT) is necessary for photovoltaic (PV) power system application to extract the maximum possible power under changing irradiation and temperature conditions. The β-parameter-based method has many advantages over conventional MPPT methods; such advantages include fast tracking speed in the transient stage, small oscillations in the steady state, and moderate implementation complexity. However, a problem in the implementation of the conventional beta method is the choice of an appropriate scaling factor N, which greatly affects both the steady-state and transient performance. Therefore, this paper proposes a modified β-parameter-based method, and the determination of the N is discussed in detail. The study shows that the choice of the scaling factor N is determined by the changes of the value of β during changes in irradiation or temperature. The proposed method can respond accurately and quickly during changes in irradiation or temperature. To verify the proposed method, a photovoltaic power system with MPPT function was built in Matlab/Simulink, and an experimental prototype was constructed with a solar array emulator and dSPACE. Simulation and experimental results are illustrated to show the advantages of the improved β-parameter-based method with the optimized scaling factor.

Item ID: 58383
Item Type: Article (Research - C1)
ISSN: 2093-4718
Keywords: Maximum power point tracking (MPPT), Modified Beta method, Photovoltaic (PV) energy
Copyright Information: © 2016 KIPE
Funders: Xi’an Jiaotong-Liverpool University (XJTLU), State Key Laboratory of Electrical Insulation and Power Equipment (SKL-EIPE), National Natural Science Foundation of China (NNSFC)
Projects and Grants: NNSFC 51407145, SKL-EIPE EIPE15203, XJTLU RDF-14-02-03
Date Deposited: 29 May 2019 02:29
FoR Codes: 40 ENGINEERING > 4008 Electrical engineering > 400803 Electrical energy generation (incl. renewables, excl. photovoltaics) @ 100%
SEO Codes: 85 ENERGY > 8505 Renewable Energy > 850504 Solar-Photovoltaic Energy @ 100%
Downloads: Total: 2
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page