Design and implementation of SEPIC converter based PV system using modified incremental conductance algorithm

Sangeetha, S.; Joseph, Jitha

doi:10.1109/iceeot.2016.7754886

Cited by 9 publications

(2 citation statements)

References 13 publications

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“…Sliding mode control mainly includes two movement processes: approach phase and sliding phase (Sangeetha & Joseph, 2016). The approach phase refers to the process of designing a sliding mode surface.…”

Section: Sepic Converter With Sliding Mode Controlmentioning

confidence: 99%

Sliding mode control of SEPIC converter based photovoltaic system

Zhang

Zhong

2021

Systems Science & Control Engineering

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Photovoltaic (PV) energy can be considered to be as highly efficient energy source since it is ecofriendly, harmless and available endlessly. In order to improve the output power of photovoltaic cells, the maximum power point tracking technology is used in PV systems. This paper designs a sliding mode controller based on SEPIC converter to implement MPPT. The difference from other methods is that the proposed method uses the circuit output voltage U 0 in the closed-loop system, so that the controller has better control effect. The buck-boost feature of the SEPIC widens the applicable PV voltage and thus increases the adopted PV module flexibility. First, the photovoltaic array is modeled and the simulation results are analyzed in this paper. Then model and analyze the SEPIC circuit and derive a sliding mode control strategy based on this circuit. Finally, the results obtained in MATLAB/Simulink were compared with the conventional P&O algorithm and INC algorithm. The results show that the sliding mode controller proposed in this paper has faster speed and less oscillation when tracking the maximum power point (MPP).

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Section: Sepic Converter With Sliding Mode Controlmentioning

confidence: 99%

Sliding mode control of SEPIC converter based photovoltaic system

Zhang

Zhong

2021

Systems Science & Control Engineering

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“…In this paper, SEPIC converter regulates the dc voltage obtained from the solar panel and feeds the single phase inverter. This single phase inverter runs the single phase Induction motor of 1HP capacity [9][10]. The speed of the induction motor is used as a feedback signal from which voltage is derived and error and change in error are obtained and given to Neural Network controller [11].…”

Section: Introductionmentioning

confidence: 99%

Neural Network Based MPPT Controller for Solar PV Connected Induction Motor

Shanthi¹

2018

IJRA

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<p>In this paper, Maximum Power Point Tracking Controller is designed based on Neural Network Controller (NNC). This controller will sense the speed of a single phase induction motor which is fed from solar panel. Maximum power point tracking (MPPT) algorithm are required in all photovoltaic (PV) system and in order to increase the efficiency of the system, Incremental Conductance algorithm which is an effective algorithm is used to extract maximum power from the solar panel which supplies an Induction motor of 1HP. To step up the voltage available from the solar panel, the SEPIC dc – dc converter is used. The main advantage of the converter is having non-inverted output. The converter acts as an interface between PV array and motor load. The entire system is modeled and simulated using MATLAB/Simulink software.</p>

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