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Proceedings ArticleDOI

PV fed MLI with ANN based MPPT

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TLDR
In this paper, the authors presented a PV fed five level Multi Level Inverter (MLI) wherein the maximum power point tracking (MPPT) is done using an Artificial Neural Network (ANN).
Abstract
There is an urgent need to hasten the development of advanced energy technologies to address the global changes of sustainable development, climate change and clean energy. Renewable power generation can help the world nations meet these challenges and thus re-strategize the existing system. Solar photovoltaic power is a commercially viable and reliable technology with enormous potential in the distant future. The panel, a power source having non-linear internal resistance, behaves differently with varying irradiation conditions as the photovoltaic current and irradiation are directly proportional. The paper presents a PV fed five level Multi Level Inverter ( MLI) wherein the Maximum Power Point Tracking (MPPT) is done using an Artificial Neural Network (ANN). PV panel modeling, ANN based MPPT algorithm, DC-DC Buck Boost Converter and the Five level MLI are simulated in MATLAB/SIMULINK.

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Citations
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Journal ArticleDOI

Advanced Solar MPPT Techniques Under Uniform and Non-Uniform Irradiance: A Comprehensive Review

TL;DR: An elaborated study on 27 MPPT techniques that are pervasive in the SPV system as well as global maximum power point tracking (GMMPT) techniques employed under partial shading (PS) conditions are put forward.
Journal ArticleDOI

A dynamic reconfiguration method based on neuro-fuzzy control algorithm for partially shaded PV arrays

TL;DR: In this article , the authors proposed a novel dynamic, on-line, low costs, and automatic method to mitigate the effects of partial shading on PV arrays, which considers the mismatch due to partial shading and cell variability.
Journal ArticleDOI

MPPT Design Using Artificial Neural Network and Backstepping Sliding Mode Approach for Photovoltaic System under Various Weather Conditions

TL;DR: A novel hybrid technique for tracking the maximum power point of the photovoltaic panel using the ANN-BSM technique, which guarantees zero steady-state error and the sliding mode and the backstepping controller are used to provide the good performances and robustness against the rapid changes of insolation.
Journal ArticleDOI

Fast and Efficient Maximum Power Point Tracking Controller for Photovoltaic Modules

TL;DR: The results shows that the proposed controller tracks the reference voltage within 25 ms, in addition the systems reacts to sudden environments change with no oscillations, which demonstrate good performance in the maximum point tracking.
References
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Journal ArticleDOI

Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review

TL;DR: In this paper, a classification scheme for MPPT methods based on three categories: offline, online and hybrid methods is introduced, which can provide a convenient reference for future work in PV power generation, is based on the manner in which the control signal is generated and the PV power system behavior as it approaches steady state conditions.
Journal ArticleDOI

The application of soft computing methods for MPPT of PV system: A technological and status review

TL;DR: This work summarizes the current technology and status of SC MPPT as reported in various literature and provides an evaluation on the performance of various SC methods based on several criteria, namely PV array dependency, convergence time, ability to handle partial shading conditions, algorithm complexity and hardware/practical implementation.
Journal ArticleDOI

Solar PV and Battery Storage Integration using a New Configuration of a Three-Level NPC Inverter With Advanced Control Strategy

TL;DR: In this paper, a novel configuration of a three-level neutral-point-clamped (NPC) inverter that can integrate solar photovoltaic (PV) with battery storage in a grid-connected system is proposed.
Journal ArticleDOI

A new dual bridge multilevel dc-link inverter topology

TL;DR: In this paper, a new hybrid multilevel dc-link inverter (MLDCLI) topology with a focus to synthesize a higher quality sinusoidal output voltage is presented.
Proceedings ArticleDOI

Comparison of ANN and P&O MPPT methods for PV applications under changing solar irradiation

TL;DR: In this paper, an artificial neural network (ANN) maximum power point tracking (MPPT) method was proposed for finding and tracking the maximum power points (MPP) in photovoltaic (PV) applications, under rapidly changing of solar irradiation, and is stable under slowly changing of the irradiation.
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