PSIM Simulation of Flyback Converter for P&O and IC MPPT Algorithms
Abstract
The output power of PV panels varies
continuously depending on some environmental factors such as temperature,
shading and solar radiation level and load conditions. PV panels have a
nonlinear characteristic since they have different output power at different
operating points. Therefore, dc-dc converters are required between PV panels
and load to obtain the maximum power from the panels. In this study, the
simulation of the flyback converter for two most commonly used MPPT algorithms
specifically Perturb and Observe (P&O) method and Incremental Conductance
(IC) method are achieved in PSIM and performance of the control techniques are
compared. The simulation results of P&O and IC MPPT algorithms are compared
for different solar radiation conditions.
Keywords
Kaynakça
- [1]. M. Obi and R. Bass, “Trends and challenges of grid-connected photovoltaic systems–A review,” Renewable and Sustainable Energy Reviews, vol. 58, pp. 1082-109, 2016.
- [2]. T. K. Soon and S. Mekhilef, “A fast-converging MPPT technique for photovoltaic system under fast-varying solar irradiation and load resistance,” IEEE Transactions on Industrial Informatics, vol. 11, no. 1, pp. 176-186, Feb. 2015.
- [3]. H. T. Duru, “A maximum power tracking algorithm based on I mpp= f (P max) function for matching passive and active loads to a photovoltaic generator,” Solar Energy, vol. 80, no. 7, pp. 812-822, 2006.
- [4]. H. Bounechba, A. Bouzid, H. Snani, and A. Lashab, “Real time simulation of MPPT algorithms for PV energy system,” International Journal of Electrical Power & Energy Systems, vol. 83, pp. 67-78, 2016.
- [5]. Q. Zhang, C. Hu, L. Chen, A. Amirahmadi, N. Kutkut, Z. J. Shen, and I. Batarseh, “A center point iteration MPPT method with application on the frequency-modulated LLC microinverter,” IEEE Transactions on Power Electronics, vol. 29, no. 3, pp. 1262-1274, 2014.
- [6]. Mohammad B. Shadmand, Robert S. Balog, and Haitham Abu Rub, “Maximum Power Point Tracking using Model Predictive Control of a flyback converter for photovoltaic applications,” Power and Energy Conference at Illinois (PECI), 2014, pp. 1-5.
- [7]. Y. H. Kim, J. G. Kim, Y. H. Ji, C. Y. Won, and T. W. Lee, “Flyback inverter using voltage sensorless MPPT for AC module systems,” in Power Electronics Conference (IPEC), 2010 International IEEE, 2010, pp. 948-953.
- [8]. P. Konghuayrob and S. Kaitwanidvilai, “Maximum Power Point tracking using neural network in flyback MPPT inverter for PV systems,” in Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on IEEE, 2012, pp. 1504-1507.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Derleme
Yazarlar
Harun Ozbay
BİLECİK ŞEYH EDEBALİ ÜNİVERSİTESİ
Türkiye
Yayımlanma Tarihi
25 Şubat 2017
Gönderilme Tarihi
16 Şubat 2017
Kabul Tarihi
1 Mart 2017
Yayımlandığı Sayı
Yıl 2017 Cilt: 2 Sayı: 1