Title of article
High Gain DC/DC Converter Implemented with MPPT Algorithm for DC Microgrid System
Author/Authors
Naderi ، E. Energy Management Research Center - University of Mohaghegh Ardabili , SeyedShenava ، S.J. Energy Management Research Center - University of Mohaghegh Ardabili , Shayeghi ، H. Energy Management Research Center - University of Mohaghegh Ardabili
From page
213
To page
222
Abstract
This paper presents the output voltage control and execution of a novel non-isolated high step-up (NIHS) DC-DC converter connected to a solar photovoltaic (PV) based DC microgrid system. The proposed converter provides a high output voltage conversion ratio over smaller duty cycles, small inductors, low cost, and high efficiency to enhance the level of the generated voltages of PV. Also, to overcome the drawback of PV, the detailed operation of maximum power point tracking (MPPT) for the novel boost DC-DC converter topology is presented. A control algorithm, modified perturb and observe (MP O), is put forward to assure that the maximum power is extracted from PV at any environmental condition. It regulates the output voltage of the PV system to the desired DC bus voltage. This technique is compared with the Incremental Conductance (INC) and conventional P O algorithm in terms of their computational complexity and oscillations near maximum power point (MPP) using MATLAB Simulink. The focus is on the continuous conduction mode of the proposed converter. To demonstrate the effectiveness of the proposed converter, operation modes, and technical analysis are conducted. Also, the experimental results of a 200 W-12V/120V, 25 kHz prototype are given and discussed to justify the suggested converter.
Keywords
High Step-up Boost Converter , Switched-Inductor , DC microgrid , Maximum power point tracker (MPPT) , Perturb and Observe (P O) technique , Incremental Conductance (INC).
Journal title
Journal of Operation and Automation in Power Engineering
Journal title
Journal of Operation and Automation in Power Engineering
Record number
2732994
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