Intelligent Perturb and Observe Based MPPT Approach Using Multilevel DC-DC Converter to Improve PV Production System

Ayad, Imane Ait; Elwarraki, Elmostafa; Baghdadi, Mohamed

doi:10.1155/2021/6673022

Cited by 18 publications

(4 citation statements)

References 28 publications

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“…Imane Ide et al [20] created an independent PV utilized Three-Level Boost (TLB) converter also developed an advanced MPPT control. The introduced MPPT technique relies in an intelligent irritation and notification calculation using the Artificial Neural Network (ANN) and P&O to decrease movements in MPP.…”

Section: Literature Reviewmentioning

confidence: 99%

Adaptive Black Widow Optimization Based MPPT Controller in High-Gain Non-Isolated DC-DC Converter for PV Applications

Shobanadevi¹,

PheminaSelvi²

2023

Preprint

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Now a days, the DC-DC power converters has been considered as main topic in pulse width modulated in different applications such as renewable energy resources. Hence, a novel non-isolated converter is developed to excerpt maximum power from photovoltaic (PV) system. The maximum power is extracting during environmental conditions in an essential requirement to manage the different load conditions in the PV system. To manage the PV maximum power, the Fractional Order Proportional-Integral-Derivative (FOPID) with Black Widow Optimization (BWO) can be developed. The projected converter is achieved different advantages such as high voltage gain and output voltage. This proposed converter is working with two mode of operation. The maximum power is extract by using the proposed converter and controller. The proposed system is developed using the MATLAB/Simulink and analyzed with performance metrics of converter parameters and PV parameters. The proposed method is analyzed with two mode of operation such as constant irradiance and variable irradiance conditions. The proposed technique is contrasted with the conventional techniques as Particle Swarm Optimization (PSO),Flower Pollination Algorithm (FPA) and Gravitational Search Algorithm (GSA) respectively.

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Section: Literature Reviewmentioning

confidence: 99%

Adaptive Black Widow Optimization Based MPPT Controller in High-Gain Non-Isolated DC-DC Converter for PV Applications

Shobanadevi¹,

PheminaSelvi²

2023

Preprint

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“…However, in DC microgrids, the fluctuating output voltage from DC sources, such as a photovoltaic solar panel, poses a challenge, demanding regulation through converters due to intermittent solar conditions [13,14]. Yet, dealing with converters will lead to complex problems because of nonlinear time variants as well as nonminimum phase characteristics [15].…”

Section: Introductionmentioning

confidence: 99%

Twin-Delayed Deep Deterministic Policy Gradient Algorithm to Control a Boost Converter in a DC Microgrid

Muktiadji,

Ramli,

Milyani

2024

Electronics

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A stable output voltage of a boost converter is vital for the appropriate functioning of connected devices and loads in a DC microgrid. Variations in load demands and source uncertainties can damage equipment and disrupt operations. In this study, a modified twin-delayed deep deterministic policy gradient (TD3) algorithm is proposed to regulate the output voltage of a boost converter in a DC microgrid. TD3 optimizes PI controller gains, which ensure system stability by employing a non-negative, fully connected layer. To achieve optimal gains, multi-deep reinforcement learning agents are trained. The agents utilize the error signal to obtain the desired output voltage. Furthermore, a new reward function used in the TD3 algorithm is introduced. The proposed controller is tested under load variations and input voltage uncertainties. Simulation and experimental results demonstrate that TD3 outperforms PSO, GA, and the conventional PI. TD3 exhibits less steady-state error, reduced overshoots, fast response times, fast recovery times, and a small voltage deviation. These findings confirm TD3’s superiority and its potential application in DC microgrid voltage control. It can be used by engineers and researchers to design DC microgrids.

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“…In recent years, hybrid MPPT algorithms, formed by combining the P&O method with other methods, are also extensively used. Ayad and colleagues developed a high-performance algorithm with low oscillation by using an artificial neural network (ANN) together with P&O algorithms [16]. Restrepo and colleagues proposed a new MPPT algorithm that can operate with high performance under both uniform sunlight and partial shading conditions.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Hybrid Maximum Power Point Tracking Algorithms Using Voltage Scanning and Perturb and Observe Methods for Photovoltaic Systems under Partial Shading Conditions

Yilmaz

2024

Sustainability

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Partial shading significantly affects the performance of photovoltaic (PV) power systems, rendering traditional maximum power point tracking (MPPT) methods ineffective. This study proposes a novel hybrid MPPT algorithm integrating voltage scanning and modified Perturb and Observe (P&O) techniques to overcome the limitations posed by partial shading. This algorithm has a simple structure and does not require panel information such as the number of panels or voltage due to its voltage scanning feature. To test the proposed algorithm, a grid-connected PV power system with a power of 252.6 kW was created in the MATLAB/Simulink environment. In this power system, six different PS conditions, containing quite challenging situations, were listed in three different scenarios and simulated. The proposed algorithm was compared with the voltage scanning and P&O and voltage scanning and variable-step P&O methods. It was observed that the proposed algorithm has lower power fluctuations compared to the other two traditional methods. Additionally, this algorithm managed to achieve higher efficiency than the other methods in some cases.

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Intelligent Perturb and Observe Based MPPT Approach Using Multilevel DC-DC Converter to Improve PV Production System

Cited by 18 publications

References 28 publications

Adaptive Black Widow Optimization Based MPPT Controller in High-Gain Non-Isolated DC-DC Converter for PV Applications

Adaptive Black Widow Optimization Based MPPT Controller in High-Gain Non-Isolated DC-DC Converter for PV Applications

Twin-Delayed Deep Deterministic Policy Gradient Algorithm to Control a Boost Converter in a DC Microgrid

Comparative Analysis of Hybrid Maximum Power Point Tracking Algorithms Using Voltage Scanning and Perturb and Observe Methods for Photovoltaic Systems under Partial Shading Conditions

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