Investigation of ANN-GA and Modified Perturb and Observe MPPT Techniques for Photovoltaic System in the Grid Connected Mode

Rezvani, Alireza; Izadbakhsh, Maziar; Gandomkar, Majid; Vafaei, Saeed

doi:10.17485/ijst/2015/v8i1/54277

Cited by 17 publications

(3 citation statements)

References 20 publications

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“…The proposed GA-FLC is depicted in Figure 6, and the triangular Modular Function of FLC is represented by Eq. ( 2) [17,18]. The process of fuzzification and defuzzification is conducted for the triangular membership functions, as illustrated in Figure 6.…”

Section: Implementation Of Dpfc Integrated To Genetic-flcmentioning

confidence: 99%

Power Quality Enhancement of Solarwind Grid Connected System Employing Genetic-Based Anfis Controller

2023

IRJMETS

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The increasing global demand for electricity has driven the exploration of renewable energy sources to generate power in an environmentally friendly manner. Solar photovoltaic systems and wind-based generators are considered significant sources of renewable energy and are referred to as Distributed Generation units due to their dispersed nature. These units use bidirectional converters to provide auxiliary services on both the grid side and the load side, regardless of the microgrid operation mode. Additionally, DC power generation units are converted into AC systems through inverters. These systems not only introduce voltage and current harmonics and power frequency deviations but also push the distribution system into precarious operating conditions. This underscores the need for advanced control strategies for microgrid architecture.As a result, power electronic converters introduce harmonics into the system, which can impact overall system performance. To address these emerging challenges, the authors have introduced an advanced custom power device called the Distributed Power Flow Controller (DPFC). In this study, the proposed solar-wind hybrid energy system is primarily evaluated using the DPFC mechanism. Subsequently, the system is further assessed using a Genetic Algorithm (GA)-based fuzzy logic controller and a GA-based Adaptive Neuro Fuzzy Inference System (ANFIS) controller for shunt control within the context of the DPFC mechanism. The validity of the results is confirmed through simulations using MATLAB/Simulink software.

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Section: Implementation Of Dpfc Integrated To Genetic-flcmentioning

confidence: 99%

Power Quality Enhancement of Solarwind Grid Connected System Employing Genetic-Based Anfis Controller

2023

IRJMETS

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“…Since most PV arrays have different characteristics, ANN has to be specifically trained for the PV module with which it will be used. The characteristics of the PV module also change with time, implying that the ANN has to be periodically trained to guarantee accurate MPPT [40]. Ref.…”

Section: Fuzzy Logic (Fl) Artificial Neural Network (Ann) and Other mentioning

confidence: 99%

Grid-Connected PV Generation System—Components and Challenges: A Review

Hariri

Desa

Masri³

et al. 2020

Energies

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Renewable energy (RE) has become a focal point of interest as an alternative source of energy to the traditional fossil fuel and other energy sources due to the fact that it is more environmentally friendly, abundant and economically feasible. Many countries aggressively promote feed-in tariff schemes and solar photovoltaic (PV) systems have become one of the fastest growing RE sources that can be integrated into the grid distribution network. This paper reviews the recent development of grid-connected PV (GPV) generation systems comprising of several sub-components such as PV modules, DC-DC converter, maximum power point tracking (MPPT) technique, and an inverter. In addition, various grid synchronization and islanding detection methods are elaborated. The future key challenges to build a smart and efficient GPV generation system were also presented.

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“…Different techniques and methods are proposed to implement MPPT algorithm. These methods include perturb and observe (P & O) [9], incremental conductance (IC) [10], hill climbing (HC) [11], fractional open-circuit voltage [12], fractional shortcircuit current [13], neural network [14], fuzzy logic methods [15], and genetic algorithms [16]. These techniques are different from some aspects such as complexity of implementation, required sensors, speed and accuracy in convergence, provided efficiency, oscillations around MPP.…”

Section: Introductionmentioning

confidence: 99%

A Novel Adaptive Neural MPPT Algorithm for Photovoltaic System

Allahyari

Taheri

Zadehbagheri

et al. 2018

IJAME

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This paper presents a novel adaptive neural network (ANN) for maximum power point tracking (MPPT) in photovoltaic (PV) systems under variable working conditions. The ANN-based MPPT model includes two separate NNs for PV system identification and control. NNs are trained by using of a novel back propagation algorithm in pre/post control phases. Because of online optimal performance of NNs, the proposed method, not only overcome the common drawbacks of the conventional MPPT methods, but also gives a simple and a robust MPPT scheme. Simulation results, which carried on MATLAB, show that proposed controller is the most effective in comparison with conventional MPPT approaches.

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Investigation of ANN-GA and Modified Perturb and Observe MPPT Techniques for Photovoltaic System in the Grid Connected Mode

Cited by 17 publications

References 20 publications

Power Quality Enhancement of Solarwind Grid Connected System Employing Genetic-Based Anfis Controller

Power Quality Enhancement of Solarwind Grid Connected System Employing Genetic-Based Anfis Controller

Grid-Connected PV Generation System—Components and Challenges: A Review

A Novel Adaptive Neural MPPT Algorithm for Photovoltaic System

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