A Soft-Switching DC-DC Boost Converter for Extracting Maximum Power from SPV Array

The main components of a Stand-Alone Photovoltaic (SAPV) system consists of PV array, DC-DC converter, load and the maximum power point tracking (MPPT) control algorithm. MPPT algorithm was used for extracting maximum available power from PV module under a particular environmental condition by controlling the duty ratio of DC-DC converter. Based on maximum power transfer theorem, by changing the duty cycle, the load resistance as seen by the source is varied and matched with the internal resistance of PV module at maximum power point (MPP) so as to transfer the maximum power. Under sudden changes in solar irradiance, the selection of MPPT algorithm’s sampling time (TS_MPPT) is very much depends on two main components of the converter circuit namely; inductor and capacitor. As the value of these components increases, the settling time of the transient response for PV voltage and current will also increase linearly. Consequently, TS_MPPT needs to be increased for accurate MPPT and therefore reduce the tracking speed. This work presents a design considerations of DC-DC Boost Converter used in SAPV system for fast and accurate MPPT algorithm. The conventional Hill Climbing (HC) algorithm has been applied to track the MPP when subjected to sudden changes in solar irradiance. By selecting the optimum value of the converter circuit components, a fast and accurate MPPT especially during sudden changes in irradiance has been realized.

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HIGH FREQUENCY BOOST CONVERTER EMPLOYING SOFT SWITCHING AUXILIARY RESONANT CIRCUIT

International Journal of Electronics and Electical Engineering ◽

10.47893/ijeee.2013.1049 ◽

2013 ◽

pp. 262-267

Author(s):

G. NARESH GOUD ◽

Y. LAKSHMI DEEPA ◽

G.DILLI BABU ◽

P. RAJASEKHAR ◽

N. GANGADHER

Keyword(s):

Theoretical Analysis ◽

High Frequency ◽

Boost Converter ◽

Soft Switching ◽

Resonant Circuit ◽

Switching Converter ◽

Turn On ◽

Switching Losses ◽

Resonant Inductor ◽

Switching Method

A new soft-switching boost converter is proposed in this paper. The conventional boost converter generates switching losses at turn ON and OFF, and this causes a reduction in the whole system’s efficiency. The proposed boost converter utilizes a soft switching method using an auxiliary circuit with a resonant inductor and capacitor, auxiliary switch, and diodes. Therefore, the proposed soft-switching boost converter reduces switching losses more than the conventional hard-switching converter. The efficiency, which is about 91% in hard switching, increases to about 97% in the proposed soft-switching converter. In this paper, the performance of the proposed soft-switching boost converter is verified through the theoretical analysis, simulation, and experimental results.

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High Step-Up Boost Converter with Neural Network Based MPPT Controller for a PEMFC Power Source Used in Vehicular Applications

International Journal of Emerging Electric Power Systems ◽

10.1515/ijeeps-2018-0015 ◽

2018 ◽

Vol 19 (5) ◽

Cited By ~ 2

Author(s):

K. Jyotheeswara Reddy ◽

N. Sudhakar ◽

S. Saravanan ◽

B. Chitti Babu

Keyword(s):

Neural Network ◽

Fuel Cell ◽

Electric Vehicles ◽

High Voltage ◽

Boost Converter ◽

Maximum Power ◽

Switching Frequency ◽

Voltage Gain ◽

High Voltage Gain ◽

Mppt Controller

AbstractHigh switching frequency and high voltage gain DC-DC boost converters are required for electric vehicles. In this paper, a new high step-up boost converter (HSBC) is designed for fuel cell electric vehicles (FCEV) applications. The designed converter provides the better high voltage gain compared to conventional boost converter and also reduces the input current ripples and voltage stress on power semiconductor switches. In addition to this, a neural network based maximum power point tracking (MPPT) controller is designed for the 1.26 kW proton exchange membrane fuel cell (PEMFC). Radial basis function network (RBFN) algorithm is used in the neural network controller to extract the maximum power from PEMFC at different temperature conditions. The performance analysis of the designed MPPT controller is analyzed and compared with a fuzzy logic controller (FLC) in MATLAB/Simulink environment.

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