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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Indonesian Journal of Electrical Engineering and Computer Science
M. F. N. Tajuddin
Universiti Malaysia Perlis
Control & Systems Engineering Electrical & Electronics Engineering

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Internet of things (IoT) based I-V curve tracer for photovoltaic monitoring systems H. B. Chi; M. F. N. Tajuddin; N. H. Ghazali; A. Azmi; M. U. Maaz
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i3.pp1022-1030

Abstract

This paper presents a low-cost PV current-voltage or I-V curve tracer that has the Internet of Things (IoT) capability. Single ended primary inductance converter (SEPIC) is used to develop the I-V tracer, which is able to cope with rapidly changing irradiation conditions. The I-V tracer control software also has the ability to automatically adapt to the varying irradiation conditions. The performance of the I-V curve tracer is evaluated and verified using simulation and experimental tests.
Differential Evolution Based Solar Photovoltaic Array Reconfiguration Algorithm for Optimal Energy Extraction during Partial Shading Condition M. A. I. A. Tazally; M. F. N. Tajuddin; A. Azmi; S. M. Ayob; T. Sutikno
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 9, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (827.551 KB) | DOI: 10.11591/ijpeds.v9.i3.pp1397-1405

Abstract

To increase energy yield from an installed photovoltaic (PV) array, particularly during partial shading condition (PSC), a new technique based on reconfigurable PV array interconnection is proposed in this work. The proposed technique works by dynamically changing the interconnection of PV modules to form a new configuration using a switching matrix inside the array. The criteria of good reconfigurable PV array interconnection techniques depend on the efficiency and accuracy of the control algorithm to optimally reconfigure the PV array to maximize the total output power. Hence, this paper proposes a new control algorithm using differential evolution (DE) for photovoltaic array reconfiguration (PVAR). To verify the superiority of the proposed algorithm, DE is compared with the particle swarm optimization (PSO) algorithm. Results confirm that DE performs well in terms of the amount of energy production during PSC. For all the nine shading patterns tested on a 3 × 3 PV array, DE yields 1% to 5% more power than PSO.
Co-Authors A. Azmi H. B. Chi M. A. I. A. Tazally M. U. Maaz N. H. Ghazali S. M. Ayob T. Sutikno