MATLAB based modeling to study the performance of different MPPT techniques used for solar PV system under various operating conditions

Mohanty, Parimita; Bhuvaneswari, G.; Balasubramanian, R.; Dhaliwal, Navdeep

doi:10.1016/j.rser.2014.06.001

Cited by 112 publications

(31 citation statements)

References 9 publications

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“…The authors designed different MPPT techniques e.g. CVC, P&O, IC, fractional short circuit for transient analysis under various operating conditions [6]. The authors of [7] investigated the MPPT technique e.g.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparative Study of MPPT Methods for Solar PV Driven Induction Motor Load

Pachauri¹,

Chauhan²

2015

IJCA

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The performance of intelligent maximum power point tracking (MPPT) such as Fuzzy logic controller (FLC) and artificial neural network (ANN) are investigated, and compared with traditional constant voltage (CVC), Perturb & observed (P&O) and Incremental conductance (IC) MPPT methods to achieve maximum power point (MPP) through PV system, in this paper. For transient analysis of MPPT assisted photovoltaic (PV) system powered to the induction motor (IM) in various applications. The system performance is investigated for different irradiation conditions in terms of voltage, current, power and rotor speed response. The detailed study is carried on advantages of advance MPPT techniques over the traditional MPPT techniques. The modeling of solar PV system and considered MPPT techniques have been done in MATLAB/ Simulink environment.

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Section: Literature Reviewmentioning

confidence: 99%

Comparative Study of MPPT Methods for Solar PV Driven Induction Motor Load

Pachauri¹,

Chauhan²

2015

IJCA

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“…Compares 62 different techniques of MPPT and gave information of choosing right algorithm for desired output [11]. MATLAB based PV array model was developed and studied the effect of varying temperature and insolation conditions on the performance of the PV array [12]. A new MPPT algorithm using neuro fuzzy system was presented to get the maximum power across the inverter terminals [13].…”

Section: Introductionmentioning

confidence: 99%

Optimization of photovoltaic power system: a comparative study

Дабра

Paliwal

Sharma

et al. 2017

Prot Control Mod Power Syst

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This paper presents a comparative study of P&O, fuzzy P&O and BPSO fuzzy P&O control methods by using MATLAB software for optimizing the power output of the solar PV grid array. The voltage, power output and the duty cycle of the solar PV array are well presented and analyzed with an algorithm. The model consists of 66 PV Cells connected parallel and 5 PV cells connected in series to make solar PV array. The BPSO Fuzzy method generates 43.4820 MW output power more than P&O method and 150 KW more than P&O fuzzy method. This also shows that the time response of the photovoltaic system reduces to perturbations and insures the continuity of the operation at the time in response to the continued maximum power point. It also eliminates the fluctuations around MPPT. Simulation results also revealed that BPSO fuzzy P&O controller is more effective as compare with P&O and fuzzy P&O models.

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“…To improve the efficiency of a PV system, maximum power point tracker (MPPT) is essential in order to extract a maximum power of the PV system rapidly and at all possible levels of insolation [3] [4]. This maximum can be located by mathematical models or algorithmic research techniques.…”

Section: Introductionmentioning

confidence: 99%

A new High Speed and Accurate FPGA-based Maximum Power Point Tracking Method for Photovoltaic Systems

Hassani¹,

Maamoun²,

Tadrist³

et al. 2017

IJPEDS

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We introduce in this paper a new FPGA-based Maximum Power Tracker for photovoltaic systems. The developed approach targets to modify the perturb and observe in view of reaching rapid tracking and achieving excellent accuracy, while keeping the stability performance and the reduced complexity. To perform this improvement, an automatic and smart two steps switcher is integrated, in addition inputs FIR filters are incorporated. Therefore, a high sampling frequency is attained, and consequently the tracking speed is improved. MATLAB simulations and the Xilinx FPGA implementation results show that the improved approach reaches a performance very close to the recently published MPPT methods, with lesser complexity. Keyword:FPGA implementation Maximum power point tracking Perturb and observe Photovoltaic systems

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MATLAB based modeling to study the performance of different MPPT techniques used for solar PV system under various operating conditions

Cited by 112 publications

References 9 publications

Comparative Study of MPPT Methods for Solar PV Driven Induction Motor Load

Comparative Study of MPPT Methods for Solar PV Driven Induction Motor Load

Optimization of photovoltaic power system: a comparative study

A new High Speed and Accurate FPGA-based Maximum Power Point Tracking Method for Photovoltaic Systems

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