Design And Implementation Soft-switching MPPT SEPIC Converter Using P&amp;O Algorithm

Septya, M Luki; Sudiharto, Indhana; Dwitya, N Syechu; Qudsi, Ony Asrarul; Sunarno, Epyk

doi:10.1051/e3sconf/20184301010

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…In fact, On the one hand, the Buck converter cannot process the voltages' points close to the Iscr, while the Boost converter cannot process the points of voltage close to the Voc. On the other hand, As discussed before, unlike the Buck-Boost, the Sepic converter can provide the positive output voltage as well as a low ripple current at the input [21] - [22]. Moreover, the Sepic converter is able to function like Buck or BOOST according to the need act on the value of the duty cycle [21].…”

Section: Sepic Converter Modelingmentioning

confidence: 98%

PSO-SMC Controller Based GMPPT Technique for Photovoltaic Panel Under Partial Shading Effect

Ahmed¹,

Cherkaoui²,

Mokhlis³

2020

IJIES

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The effect of partial shading has a strong influence on the production of photovoltaic solar systems. In fact, when this phenomenon occurs, several power peaks appear on the power-voltage curve (P, V). These peaks are divided between the local maxima and a global maximum. This latter presents the superior maximum compared to the local maxima. Therefore, in this case, the conventional MPPT methods such as Incremental Conductance (INC) and Perturb and Observe (P&O) do not have the ability to detect and track the highest peak. Thus, this causes the important loss of power. To overcome this issue, this study focusses on the design of a new method able to distinguish the global maximum power point (GMPP). This method is composed of two loops of control, the particle swarm optimization (PSO) and the sliding mode controller (SMC). The first loop, which consists of PSO, sweeps the power-voltage curve by looking for the GMPP, after that generates the reference of corresponding optimal voltage. While the second loop is designed to track the voltage reference by acting on the duty cycle of the SEPIC converter. This method is characterized by its robustness against the parameters' changes and the modeling error thanks to the SMC controller designed. In addition, the PSO used improves efficiency of the PV modules subjected to the non-uniform meteorological conditions. The simulation results show the rapidity and accuracy of the proposed method for localizing and tracking the global power maximum. In fact, according to the results, the proposed controller has a convergence time about 63ms depending on the shading pattern. Moreover, it is able to detect the meteorological conditions change. To prove the advantages of the proposed technique, this one is compared with the hybrid controllers those composed of P&O and INC combined with BSC and SMC controllers.

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Section: Sepic Converter Modelingmentioning

confidence: 98%

PSO-SMC Controller Based GMPPT Technique for Photovoltaic Panel Under Partial Shading Effect

Ahmed¹,

Cherkaoui²,

Mokhlis³

2020

IJIES

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“…The MPPT system consists of a DC-DC converter currently based between the Photovoltaic and the load that is regulated by an algorithm to adjust the power converter's duty cycle value in order to obtain the highest output voltage and current at a specific level of solar radiation and temperature [25].…”

Section: Maximum Power Point Tracking Designmentioning

confidence: 99%

Design MPPT with Anfis Method on Zeta Converter With DC Load

Sunarno

Sudiharto²,

Yolanita³

2023

KINETIK

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Maximum power point tracking (MPPT) for PV (Photovoltaic) systems is provided in this research using artificial intelligence-based control. The design of MPPT system with Anfis Method on the Zeta Converter with DC Load is used to optimize the work of the Photovoltaic which will be used for DC load sources. The MPPT process consists of four main stages, namely module training data, determining input and output data, determining the number and type of membership functions and ANFIS training data. Zeta converter works like a buck boost, which can increase or decrease the voltage which is an advantage in designing systems with very volatile Photovoltaic sources. Zeta Converter is used to get higher efficiency, smaller input and output current ripple values and smaller core losses in the inductor. To improve the efficiency of system performance, An MPPT algorithm for the adaptive neuro fuzzy inference system (ANFIS) that is programmed into a microcontroller controls the zeta converter. ANFIS control is used because the response is faster and more effective. The combined simulation's findings demonstrate that the ANFIS control was successful, and the system can now produce the best possible power from Photovoltaic ipanelsiiniMPPT mode by boosting efficiency by up to 19.96%.

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“…SEPIC (Single Ended Primary Inductor Converter) is a DC-DC converter that can increase or decrease the input voltage by adjusting the duty cycle of the switching components [9]. Unlike the Cuk converter, SEPIC has the same output voltage polarity as its input (non-inverting) [10].…”

Section: Sepic Convertermentioning

confidence: 99%

A Modified Maximum Power Point Tracking with Constant Power Generation Using Adaptive Neuro-Fuzzy Inference System Algorithm

Sudiharto

Prasetyono²,

Budikarso³

et al. 2022

KINETIK

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Renewable energy is being used to lessen the consumption of fossil fuels. Solar energy is a common source of renewable energy. Solar energy is the most promising source of energy due to its long-term sustainability and availability. The output power of solar panels is strongly influenced by the intensity of sunlight and the temperature of the solar panels. Maximum Power Point Tracking (MPPT) control, which aims to optimize the output power of solar panels, is commonly used to increase the efficiency of solar panels. However, MPPT control often causes overvoltage disturbance in systems directly connected to the load. To limit the output power of solar panels, additional Constant Power Generation (CPG) control is required. In this research, a solar panel system will be created to supply submersible DC pumps without any energy storage devices. DC-DC SEPIC Converter is designed with MPPT control combined with CPG control to limit the output power of the converter using the Adaptive Neuro-Fuzzy Inference System method by 150 watts. When the output power of the solar panel is less than the power limit, then MPPT mode will work. While CPG mode works when the PV output power is greater than the limit power. The results of this research showed that the system can provide optimal power generated by solar panels in MPPT mode by increasing efficiency by up to 33.04% and CPG mode can limit power to 150 Watts to avoid overvoltage disturbance at load.

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Design And Implementation Soft-switching MPPT SEPIC Converter Using P&O Algorithm

Cited by 7 publications

References 10 publications

PSO-SMC Controller Based GMPPT Technique for Photovoltaic Panel Under Partial Shading Effect

PSO-SMC Controller Based GMPPT Technique for Photovoltaic Panel Under Partial Shading Effect

Design MPPT with Anfis Method on Zeta Converter With DC Load

A Modified Maximum Power Point Tracking with Constant Power Generation Using Adaptive Neuro-Fuzzy Inference System Algorithm

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