Comparative Analysis of DC-DC Converters

Rajakumari, R. Felshiya; Deshpande, Mrunal

doi:10.1109/icpedc47771.2019.9036624

Cited by 7 publications

(3 citation statements)

References 2 publications

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“…In [25], step-up DC-DC converters in various configurations are proposed. Reference [29] analyzes boost converters and SEPICs considering output voltage ripple, total harmonic distortion, and power factor for both con- verters, and boost converters produce better results. Besides the mentioned features, boost converters are easier to use.…”

Section: B Dc-dc Boost Convertermentioning

confidence: 99%

An Improved Perturb and Observed Maximum Power Point Tracking Algorithm for Photovoltaic Power Systems

Kahani¹,

Jamil²,

Iqbal³

2023

Journal of Modern Power Systems and Clean Energy

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This paper aims to improve the performance of the conventional perturb and observe (P&O) maximum power point tracking (MPPT) algorithm. As the oscillation around the maximum power point (MPP) is the main disadvantage of this technique, we introduce a modified P&O algorithm to conquer this handicap. The new algorithm recognizes approaching the peak of the photovoltaic (PV) array power curve and prevents the oscillation around the MPP. The key to achieve this goal is testing the change of output power in each cycle and comparing it with the change in array terminal power of the previous cycle. If a decrease in array terminal power is observed after an increase in the previous cycle or in the opposite direction, an increase in array terminal power is observed after a decrease in the previous cycle; it means we are at the peak of the power curve, so the duty cycle of the boost converter should remain the same as the previous cycle. Besides, an optimized duty cycle is introduced, which is adjusted based on the operating point of PV array. Furthermore, a DC-DC boost converter powered by a PV array simulator is used to test the proposed concept.When the irradiance changes, the proposed algorithm produces an average η MPPT of nearly 3.1% greater than that of the conventional P&O algorithm and the incremental conductance (InC) algorithm. In addition, under strong partial shading conditions and drift avoidance tests, the proposed algorithm produces an average η MPPT of nearly 9% and 8% greater than that of the conventional algorithms, respectively.

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Section: B Dc-dc Boost Convertermentioning

confidence: 99%

An Improved Perturb and Observed Maximum Power Point Tracking Algorithm for Photovoltaic Power Systems

Kahani¹,

Jamil²,

Iqbal³

2023

Journal of Modern Power Systems and Clean Energy

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“…Using the fuzzy logic algorithm to control the output voltage of the single-channel boost converter, there is a basis for the processing of the fuzzy logic algorithm as shown in Figure 9. For this research, fuzzy logic algorithms were used to detect changes in output voltage and current and process them to generate a single-channel boost converter control duty signal [22][23][24]. However, for the fuzzifier part, it defines variables and imports voltage and output current change data and duty cycle values.…”

Section: Fuzzy Logic Controllermentioning

confidence: 99%

A Comparison of the Response and Voltage Regulation Performance of the Single-Channel DC/DC Boost Converter Circuit with Artificial Neural Networks, Fuzzy Logic and PID Controllers

Chaithanakulwat¹,

Thungsuk²,

Savangboon³

et al. 2023

JESA

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Fixed-speed wind turbines for generating electricity are also important because they are clean energy and do not pollute the environment. Developing maximum wind energy tracking and increasing DC voltage to optimal values is also an important factor designers must consider so that the power from generators connected to wind turbines can function efficiently. Therefore, in this researcher paper proposed a single-channel dc/dc boost converter control, three forms of algorithms consisting of neural networks, fuzzy algorithms and PID algorithms. The purpose of bringing these algorithms controlled because they wanted to compare the response and voltage control performance of the single-channel DC/DC boost converter to be associated with a three-phase inverter that controls PWM signal modulation with space vector technique. However, the principles and methodologies in this article are presented to simulate the algorithmic response using the MATLAB/Simulink program and compare it with the prototype mechanism. A comparison of the response performance and voltage regulation of the single-channel DC/DC boost converter showed that the three algorithms have different advantages and disadvantages but can be used together to achieve high efficiency.

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“…In [7], research has been conducted over step-up DC-DC converters in various configurations. In [8], the authors analyzed boost and SEPIC converters, considering output voltage ripple, total harmonic distortion, power factor for both converters, and boost converters produced better results. Besides mentioned features, boost converters are easier to use.…”

Section: Introductionmentioning

confidence: 99%

Direct Model Reference Adaptive Control of a Boost Converter for Voltage Regulation in Microgrids

Kahani

Jamil²,

Iqbal³

2022

Energies

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In this study, we present a Direct Model Reference Adaptive Control (DMRAC) algorithm in a boost converter used in islanded microgrids (MG) with a solar photovoltaic (PV) system. Islanded types of microgrids have very sensitive voltage and frequency variability; therefore, a robust and adaptive controller is always desired to control such variations within the MG. A DC–DC boost converter with a modified MIT rule controller is proposed in this paper, which stabilizes output voltage variations in islanded MG. Since the boost converter is a non-minimum phase, the controller design that relies only on output voltage feedback becomes challenging. Even though output voltage control can be achieved using inductor current control, such current mode controllers may also require prior knowledge of the load resistance and more states, such as output and inductor currents in feedback. Here, two control loops are used to achieve a stable output voltage; a PID controller can regulate the output voltage at a fixed level, and the outer loop is designed to implement the MIT rule for a DMRAC. To ensure that the actual system is following the desired reference model, using only an output voltage feedback sensor, a DMRAC is devised to update the PID controller parameters in real-time. Compared to a DC–DC boost converter connected to the MG, a controller, such as the one introduced in this paper, is more successful in dealing with unknown parameter fluctuations and disturbance changes. The MATLAB/SIMULINK is used to design and simulate the controller with different load disturbances and input voltage variances. The hardware validation is also carried out to show the performance of the proposed controller. Our results suggest that the DMRAC provides robust regulation against parameter variations.

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Comparative Analysis of DC-DC Converters

Cited by 7 publications

References 2 publications

An Improved Perturb and Observed Maximum Power Point Tracking Algorithm for Photovoltaic Power Systems

An Improved Perturb and Observed Maximum Power Point Tracking Algorithm for Photovoltaic Power Systems

A Comparison of the Response and Voltage Regulation Performance of the Single-Channel DC/DC Boost Converter Circuit with Artificial Neural Networks, Fuzzy Logic and PID Controllers

Direct Model Reference Adaptive Control of a Boost Converter for Voltage Regulation in Microgrids

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