Analysis of Ripples in SEPIC based Buck-Boost Converter for Low Power Applications

Kamalesh, M.S.; Senthilnathan, N.; Bharatiraja, C.; Kumar, Ch. Phani; Deepika, L.

doi:10.1109/mascon51689.2021.9563360

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…In (19), inverse hyper-tangent is used to such that the directional moving vector covers the boundary and explore in all four quadrant directions. The formula for calculating the weights of the slime mould arms extending towards the LMPP is given as (21),…”

Section: Algorithm For Tracking the Mppmentioning

confidence: 99%

“…This is handled by updating the best fitness location to all other slime moulds from the following expression (22), The pseudocode and the flowchart for the SMA based MPPT controller is given in Figure 5. In (22), the random position on fitness array is declared using the variable 𝑟𝑎𝑛𝑑, which indicates the array positions will be sorted in the next iteration using the smell index as given in (21). The value of 𝑧 indicates the parameter setting variable as like the number of iterations and population size.…”

Section: Algorithm For Tracking the Mppmentioning

confidence: 99%

“…Hence, to provide a topological support to the MPPT controller with variations in PV configurations [15] and converter structural design [16] extensive literatures are considered in this article. Pertaining to the converter structure and topological variation, non-isolated converters like boost, buck, buck-boost, SEPIC, ZETA, Cuk, Luo, cascaded versions and their respective modified versions are widely employed converters as described in [17][18][19][20][21]. In this list, the efficiency of MPPT integration with buck converter provides 93%, boost gives 97% to 98.2%, buck-boost provides 98.5%, Cuk and SEPIC provides greater than 95%.…”

Section: Introductionmentioning

confidence: 99%

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Experimental Investigation of efficiency enhancement in Solar Photovoltaic Systems under Partial Shading Conditions using Discrete Time Slime Mould Optimization

Shunmugalatha

2023

Preprint

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The Solar PhotoVoltaic (SPV) systems are the trending and commercially reputable power source abundantly served by the nature to the mankind. Partial Shading Conditions (PSC) are one of the critical concepts in the SPV maximum power extraction. PSC’s are nonlinear and fuzzy in its attributes, as it is unpredictable. Hence, it has numerous Local Maximum Peak Power (LMPP) points. Although, a wide spread of Maximum Power Point Tracking (MPPT) algorithms are doing justice in locating the peak power points and stabilize the system, they are inadequate to locate the LMPP’s and the Global Maximum Peak Power (GMPP) point. This paper proposes a discrete time-based Slime Mould Optimization (SMO), providing an effective support to the buck converter based MPPT controller for SPV systems. The analysis and testament of buck converter in discrete domain alleviates the optimization in discrete samples, which accelerates the computation speed in locating the LMPP and GMPP. The proposed methodology is validated from the predominant parametric results like tracking time, power efficiency and the stability of the system under various PSC’s. The experimental implementations are performed in MATLAB simulations and experimented with dSPACE-MicroLabBox.

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Section: Algorithm For Tracking the Mppmentioning

confidence: 99%

Section: Algorithm For Tracking the Mppmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Experimental Investigation of efficiency enhancement in Solar Photovoltaic Systems under Partial Shading Conditions using Discrete Time Slime Mould Optimization

Shunmugalatha

2023

Preprint

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“…These converters allow efficient charging and discharging of batteries, voltage regulation, and synchronization with the grid [7]. Overall, power electronic converters play a critical role in PV applications by optimizing power generation, enabling grid integration, facilitating energy storage, and ensuring system protection and security [8].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of PV-based Buck-Boost and SEPIC Converters for EV Charging Applications

Chengaiah

2024

Tr Ren Energy

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In recent decades, environmental issues have become an area of greatest concern due to changes in global climate conditions. The transportation sector is a major contributor to carbon dioxide emissions, accounting for more than 22.9% of total carbon dioxide emissions. At present, most vehicles run on gasoline/diesel as fuel which is unsustainable and unviable as fossil fuels produce carbon emissions and fuel costs are rising. To address these issues, electric vehicles (EVs) offer an attractive solution as alternative to internal combustion engine vehicles that use electricity as an energy source. It is logical to use renewable energy to charge vehicles, which makes renewable energy an end-to-end clean energy source. In electric vehicles, energy conversion plays an important role. In the energy conversion process, alternating current (AC) can be converted to direct current (DC), or direct current can be converted to alternating current. In EV fast charging applications, DC-to-DC conversion is used, which requires DC-to-DC converters. In this paper, a detailed evaluation of the Buck-Boost and Single-Ended Primary Inductance Converters (SEPIC) with PV as input is analyzed for EV charging applications to make it end-to-end clean energy. For this purpose, a 5-by-5 PV system with a Buck-Boost, SEPIC converters with particle swarm optimization technique is considered, which is simulated in a MATLAB/SIMULINK environment. The simulation results showed that the ripples in output are minimal in SEPIC which supports the smooth and efficient charging of EV battery.

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“…In those applications, the power generated from the SPV is to be converted into AC or DC power depending on the application requirements. In this power conversion process, the SPV requires a boost or buck‐boost converter 5 for DC‐DC conversion and an inverter for DC‐AC conversion. Diversified topologies of Voltage Source Inverter (VSI) are available in the literature in connection with the SPV systems, 6 among which the H‐bridge inverters are widely used in multifarious applications.…”

Section: Introductionmentioning

confidence: 99%

An improved robust coupled sliding mode control strategy for solar photovoltaic‐based single‐phase inverters

Palanivel

Ms³

2023

Circuit Theory & Apps

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Solar photovoltaic (SPV)-based single-phase inverters are universally accepted and commercially utilized renewable power converter system. Generally, the magnitude of the inverter output is perturbed on load variations, and the intermediate DC-DC boost converter output is perturbed because of the solar availability. The main intermediary component is the DC-Link capacitor. The regulation of DC-Link voltage is the key factor in maintaining the stability of the system with bilateral power converters. In the existing methods, individual Sliding Mode Control (SMC) are used to maintain the stability of the converters independently. However, the individual SMC's do not have any corelated control to address the common problem of DC-Link voltage regulation. This paper proposes an alternative solution with Coupled SMC (CSMC) to address the problem of regulating the DC-Link voltage. Both the Boost-SMC and Inverter-SMC are individually developed and controlled in a unified approach by having mutual adjustments in the converter and inverter switching pulses. The CSMC strategy is developed in Matlab and experimented using dSPACE-MicrolabBox. The validation tests are compared with conventional SMC, which shows the betterment of CSMC in robustness and waveshape tracking.

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Analysis of Ripples in SEPIC based Buck-Boost Converter for Low Power Applications

Cited by 6 publications

References 10 publications

Experimental Investigation of efficiency enhancement in Solar Photovoltaic Systems under Partial Shading Conditions using Discrete Time Slime Mould Optimization

Experimental Investigation of efficiency enhancement in Solar Photovoltaic Systems under Partial Shading Conditions using Discrete Time Slime Mould Optimization

Evaluation of PV-based Buck-Boost and SEPIC Converters for EV Charging Applications

An improved robust coupled sliding mode control strategy for solar photovoltaic‐based single‐phase inverters

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