Javascript must be enabled to continue!
Fuzzy-Based Current-Controlled Voltage Source Inverter for Improved Power Quality in Photovoltaic and Fuel Cell Integrated Sustainable Hybrid Microgrids
View through CrossRef
Due to the complementary operational features, photovoltaic (PV) and fuel cell (FC) systems are increasingly being integrated into hybrid microgrids. PV systems provide clean energy during the day, while FCs provide continuous power supply throughout the day and night; thus, FCs can address PV’s incapacity during the night. However, voltage instability, frequency deviation, and enhanced harmonic distortion can result from the intrinsic intermittency of solar energy, switching errors in power electronic equipment, and varying load demands. Thus, a fuzzy logic-based current-controlled voltage source inverter (CC-VSI) is proposed in this paper to overcome these issues and enhance power quality in PV-FC hybrid microgrids. As per IEEE 1547 regulations, the fuzzy controller dynamically modifies the inverter current to maintain steady voltage and frequency profiles. MATLAB/Simulink (R2022a) is used to model and simulate the system, and its performance is evaluated under various reactive load scenarios. To test the efficacy of the proposed control technique, various power quality metrics, viz., voltage profiles (sag and swell), frequency profile, and total harmonic distortions, are plotted when subjected to large reactive load variations. The simulation results that are obtained with the proposed fuzzy-based current control technique are compared with the conventional artificial neural networks-based controller to verify the effectiveness. From the comparison study, it is found that the proposed technique shows superior power quality performance over the conventional technique. This encourages the development of renewable energy-based sustainable hybrid microgrids worldwide.
Title: Fuzzy-Based Current-Controlled Voltage Source Inverter for Improved Power Quality in Photovoltaic and Fuel Cell Integrated Sustainable Hybrid Microgrids
Description:
Due to the complementary operational features, photovoltaic (PV) and fuel cell (FC) systems are increasingly being integrated into hybrid microgrids.
PV systems provide clean energy during the day, while FCs provide continuous power supply throughout the day and night; thus, FCs can address PV’s incapacity during the night.
However, voltage instability, frequency deviation, and enhanced harmonic distortion can result from the intrinsic intermittency of solar energy, switching errors in power electronic equipment, and varying load demands.
Thus, a fuzzy logic-based current-controlled voltage source inverter (CC-VSI) is proposed in this paper to overcome these issues and enhance power quality in PV-FC hybrid microgrids.
As per IEEE 1547 regulations, the fuzzy controller dynamically modifies the inverter current to maintain steady voltage and frequency profiles.
MATLAB/Simulink (R2022a) is used to model and simulate the system, and its performance is evaluated under various reactive load scenarios.
To test the efficacy of the proposed control technique, various power quality metrics, viz.
, voltage profiles (sag and swell), frequency profile, and total harmonic distortions, are plotted when subjected to large reactive load variations.
The simulation results that are obtained with the proposed fuzzy-based current control technique are compared with the conventional artificial neural networks-based controller to verify the effectiveness.
From the comparison study, it is found that the proposed technique shows superior power quality performance over the conventional technique.
This encourages the development of renewable energy-based sustainable hybrid microgrids worldwide.
Related Results
Frequency of Common Chromosomal Abnormalities in Patients with Idiopathic Acquired Aplastic Anemia
Frequency of Common Chromosomal Abnormalities in Patients with Idiopathic Acquired Aplastic Anemia
Objective: To determine the frequency of common chromosomal aberrations in local population idiopathic determine the frequency of common chromosomal aberrations in local population...
A Grid-Tied Fuel Cell Multilevel Inverter with Low Harmonic Distortions
A Grid-Tied Fuel Cell Multilevel Inverter with Low Harmonic Distortions
As a result of global energy demand increase, concerns over global warming, and rapid exhaustion of fossil fuels, there is a growing interest in energy system dependence on clean a...
Decentralized control techniques applied to electric power distributed generation in microgrids
Decentralized control techniques applied to electric power distributed generation in microgrids
Distributed generation of electric energy has become part of the current electric power system. In this context a new scenario is arising in which small energy sources make up a ne...
Complex Collision Tumors: A Systematic Review
Complex Collision Tumors: A Systematic Review
Abstract
Introduction: A collision tumor consists of two distinct neoplastic components located within the same organ, separated by stromal tissue, without histological intermixing...
Numerical modeling and research on nonlinear dynamic behaviors of two-stage photovoltaic grid-connected inverter
Numerical modeling and research on nonlinear dynamic behaviors of two-stage photovoltaic grid-connected inverter
In this paper, the piecewise smooth state equation of a two-stage photovoltaic grid-connected (TPG) inverter is established and studied; based on the solution to the piecewise smoo...
Modelling and fault ride-through control of grid supporting inverter-based microgrid
Modelling and fault ride-through control of grid supporting inverter-based microgrid
This thesis is focused on modeling and fault ride-through control, local load power delivery, and grid power exchange of power electronic interfaced Distributed Energy Resources (D...
Optimization of Var-Voltage Regulation Control Strategy for Grid-Connected Inverter of Photovoltaic Power
Optimization of Var-Voltage Regulation Control Strategy for Grid-Connected Inverter of Photovoltaic Power
Abstract
With the continuous increase of installed capacity of large photovoltaic power stations, the light intensity and temperature changes of photovoltaic power g...
Konstruksi Sistem Inferensi Fuzzy Menggunakan Subtractive Fuzzy C-Means pada Data Parkinson
Konstruksi Sistem Inferensi Fuzzy Menggunakan Subtractive Fuzzy C-Means pada Data Parkinson
Abstract. Fuzzy Inference System requires several stages to get the output, 1) formation of fuzzy sets, 2) formation of rules, 3) application of implication functions, 4) compositi...

