A Novel Adaptive Neural MPPT Algorithm for Photovoltaic System

Allahyari, Sohrab Ali; Taheri, Nasser; Zadehbagheri, Mahmoud; Rahimkhani, Zahra

doi:10.15282/ijame.15.3.2018.2.0417

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…The text discusses the problem of multiple maximum power points that arise in partial shading conditions and emphasizes the importance of tracking the actual maximum power point to ensure various advantages. In the study conducted by the authors in reference [20], they propose an adaptive neural network (ANN) algorithm. A novel back propagation algorithm is employed to train two distinct neural networks.…”

Section: Introductionmentioning

confidence: 99%

Research on Grid-Connected Control Strategy of Photovoltaic (PV) Energy Storage Based on Constant Power Operation

Wang,

Lin,

Zheng

et al. 2023

Energies

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In order to effectively mitigate the issue of frequent fluctuations in the output power of a PV system, this paper proposes a working mode for PV and energy storage battery integration. To address maximum power point tracking of PV cells, a fuzzy control-based tracking strategy is adopted. The principles and corresponding mathematical models are analyzed for the three-phase voltage PWM converter and bidirectional DC/DC converter, while feedforward decoupling double closed loop, constant power (PQ), and constant voltage charge/discharge control strategies are proposed. Space vector pulse width modulation (SVPWM) technology is utilized to generate power switching tube driver signals. Finally, a simulation model is developed in MATLAB/Simulink for system analysis. The results demonstrate that the proposed method enables constant grid-connected power generation and constant voltage charging of the energy storage battery when the PV cell’s power generation exceeds that of the grid. When insufficient solar power generation occurs, both the PV system and energy storage battery work together to achieve constant grid-connected power.

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Section: Introductionmentioning

confidence: 99%

Research on Grid-Connected Control Strategy of Photovoltaic (PV) Energy Storage Based on Constant Power Operation

Wang,

Lin,

Zheng

et al. 2023

Energies

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Design and Implementation of Intelligent MPPT Based on FPGA for PV System

Mahmood¹,

Ali²,

Ahmed³

2020

IOP Conf. Ser.: Mater. Sci. Eng.

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This paper presents the design and implementation of intelligent maximum power point tracking (MPPT) technique for Photovoltaic (PV) systems. The proposed MPPT is based on the fuzzy logic controller (FLC). FLCs have the benefit of being very easy to design as they don’t need accurate knowledge of the system and work well for the nonlinear system. The MATLAB/Simulink was used to verify the proposed method, with three scenarios of environment conditions. The DC-DC converter has been designed and simulated using PLECS simulation software, then implemented practically in order to work as impedance matching between PV source and load. The system was built based on Field Programmable Gate Array (FPGA) and connected to the PV panel and tested practically at the site for different environment conditions and compared with measurements obtained using solar analyzer device. According to the simulated and experimental results, the proposed method capable to find the maximum power point (MPP) under different climate conditions excellently with compared to perturb and observation (P&O) method. Also, it has very low oscillation about (MPP) and high response, as a result, efficiency is enhanced, providing maximum power transfer to load.

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A Novel Adaptive Neural MPPT Algorithm for Photovoltaic System

Cited by 2 publications

References 19 publications

Research on Grid-Connected Control Strategy of Photovoltaic (PV) Energy Storage Based on Constant Power Operation

Research on Grid-Connected Control Strategy of Photovoltaic (PV) Energy Storage Based on Constant Power Operation

Design and Implementation of Intelligent MPPT Based on FPGA for PV System

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