scholarly journals Simulation of PEM fuel cell integrated DVR using SRF-ANFIS controller for power quality enhancement

2021 ◽  
Vol 9 (4A) ◽  
Author(s):  
Bhavani R ◽  
◽  
Rathina Praba N ◽  
Ananthakumaran S ◽  
◽  
...  
Keyword(s):  
Fuel Cell ◽  
Power Quality ◽  
Fuzzy Inference ◽  
Reference Signal ◽  
Proton Exchange ◽  
Voltage Source ◽  
Voltage Sag ◽  
Voltage Source Converter ◽  
Inference System ◽  
Unbalanced Voltage

Voltage related Power Quality (PQ) problems are attracting the eyes of researchers, as these cause huge loss in productivity and profitability for both utilities and consumers. Dynamic Voltage Restorer (DVR) is a well-known custom power device that provides an economical solution for the alleviation of power quality problems. Generally, battery energy storage is used as an input for DVR, but batteries are still bulky and costly and must be disposed once their chemicals are used, which limits the compensation capability of DVR. Nowadays, Fuel Cell (FC) technologies have attracted much attention owing to their high efficiencies and low emissions. This project aims to model and simulate Proton Exchange Membrane Fuel Cell (PEMFC) and is used as a DC input source for DVR. The suitable boost converter is designed and modelled to lift up the fuel cell output voltage suitable as DC link voltage for DVR. Adaptive Neuro Fuzzy Inference System (ANFIS) controller uses Synchronous Reference Frame Theory (SRF) algorithm to generate d and q axis components of reference signal for Voltage Source Converter (VSC) of DVR. This PEMFC DVR is verified for balanced and unbalanced voltage sag, swell, and harmonics using MATLAB/SIMULINK. A simulation result proves that this PEMFC DVR is capable of providing a technically advanced and economic solution for balanced and unbalanced voltage sag and swell. During compensation, the DVR DC input voltage is also preserved as constant, which enhances the compensation capability of DVR.

Application of Adaptive Neuro-Fuzzy Inference System Techniques to Predict Water Activity in Proton Exchange Membrane Fuel Cell

2018 ◽  
Vol 15 (4) ◽  
Author(s):  
Khaled Mammar ◽  
Slimane Laribi
Keyword(s):  
Fuel Cell ◽  
Water Activity ◽  
Fuzzy Inference System ◽  
Proton Exchange Membrane ◽  
Fuzzy Inference ◽  
Proton Exchange ◽  
Operating Conditions ◽  
Inference System ◽  
Neuro Fuzzy ◽  
Exchange Membrane

This work defines and implements a technique to predict water activity in proton exchange membrane fuel cell. This technique is based on the electrochemical impedance spectroscopy (EIS) as sensor and adaptive neuro-fuzzy inference system (ANFIS) as estimator. For this purpose, a proton exchange membrane fuel cell (PEMFC) model has been proposed to study the performances of the fuel cell for different operating conditions where the simulation model for water activity behavior is in the proposed structure. The technique based on ANFIS predicts the PEM fuel cell relative humidity (RH) from the EIS. For creation of ANFIS training and checking database, a new method based on factorial design of experimental is used. To check the proposed technique, the ANFIS estimator will be compared with the output humidity relative observation.

A Nonlinear Fuel Cell Model Based on Adaptive Neuro-Fuzzy Inference System

2013 ◽  
Vol 321-324 ◽  
pp. 1357-1360 ◽  
Author(s):  
Qi Li ◽  
Wei Rong Chen ◽  
Zhi Xiang Liu ◽  
Shu Kui Liu ◽  
Wei Min Tian
Keyword(s):  
Fuel Cell ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Learning Algorithm ◽  
Cell Model ◽  
Proton Exchange ◽  
Power Module ◽  
Inference System ◽  
Operational Conditions ◽  
Neuro Fuzzy

A nonlinear model of proton exchange membrane fuel cell (PEMFC) based on an adaptive neuro-fuzzy inference system (ANFIS) is proposed to study different operational conditions effect on the dynamic response of Ballard 1.2kW Nexa power module. A hybrid learning algorithm combining back propagation (BP) and least squares estimate (LSE) is adopted to identify the parameters of input and output membership functions for the improvement of training efficiency in the ANFIS. The comparisons with the experimental data demonstrate that the obtained ANFIS model can efficiently approximate the dynamic output response of Nexa power module and is capable of predicting dynamic performance in terms of stack output voltage with a high accuracy.

scholarly journals Modeling a Distributed Power Flow Controller with a PEM Fuel Cell for Power Quality Improvement

2018 ◽  
Vol 8 (1) ◽  
pp. 2585-2589 ◽  
Author(s):  
J. Chakravorty ◽  
J. Saraswat ◽  
V. Bhatia
Keyword(s):  
Fuel Cell ◽  
Power Quality ◽  
Power Flow ◽  
Electrical Power ◽  
Pem Fuel Cell ◽  
Proton Exchange ◽  
Distributed Power ◽  
Flow Controller ◽  
Distributed Power Flow ◽  
Power Flow Controller

Electrical power demand is increasing at a relatively fast rate over the last years. Because of this increasing demand the power system is becoming very complex. Both electric utilities and end users of electric power are becoming increasingly concerned about power quality. This paper presents a new concept of distributed power flow controller (DPFC), which has been implemented with a proton exchange membrane (PEM) fuel cell. In this paper, a PEM fuel cell has been simulated in Simulink/MATLAB and then has been used in the proposed DPFC model. The new proposed DPFC model has been tested on a IEEE 30 bus system.

Analysis of AC-AC Converter Based Dynamic Voltage Restorer for Maintaining Power Quality in the Transmission Line

2016 ◽  
Vol 1 (3) ◽  
pp. 501
Author(s):  
Tamilvanan G. ◽  
Mahendran S.
Keyword(s):  
Power System ◽  
Power Quality ◽  
Pulse Width Modulation ◽  
Voltage Sag ◽  
Time Duration ◽  
Dynamic Voltage Restorer ◽  
Unbalanced Voltage ◽  
Nominal Voltage ◽  
Dynamic Voltage ◽  
Voltage Swell

<p>In the power system the major issue is to maintain the power quality .The term of power quality is to maintain the disturbance less voltage to the power system. The voltage disturbance mainly caused by voltage sag, voltage swell and harmonics presented in the system. If the system voltage is going below to the nominal voltage, then it is called as voltage sag. These power quality (PQ) events typically last for less than one second. If the system voltage is going above the nominal voltage, there it is called as voltage swell. The AC-AC converter based DVR is proposed. It can properly compensate for unlimited time duration, balanced, and as well as unbalanced voltage sag by observing the power from the grid. The pulse width modulation technique is used to triggering the switches. Only by the simple Bidirectional switches were used for generate the compensation voltage.</p>

Fuel cell integration with grid using voltage source converter and its control

2020 ◽  
Vol 11 (2) ◽  
pp. 132
Author(s):  
Sabha Raj Arya ◽  
Nunsavath Sharath Kumar ◽  
Ashutosh K. Giri ◽  
Amin Qureshi
Keyword(s):  
Fuel Cell ◽  
Voltage Source ◽  
Voltage Source Converter

Voltage Compensation Scheme for Standalone Distributed Wind Energy Conversion System

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Amarjeet Singh ◽  
Shivangee Shukla
Keyword(s):  
Power Quality ◽  
Rural Areas ◽  
Power Distribution ◽  
Synchronous Generator ◽  
Distribution Networks ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Power Distribution Networks ◽  
Dynamic Voltage Restorer ◽  
Dynamic Voltage

The Wind generation system has potential application for the grid support that could be utilized in rural areas. However, continuous variation of wind speed results in severe power quality problems, especially in a standalone village network. In distributed generation, wind power system can cause sub harmonic and interharmonic components to appear in the spectrum of voltage and currents. These harmonics can cause flicker, overload, and interference, on the electronic equipments. This paper proposes Dynamic Voltage Restorer (DVR), which is the most efficient and effective modern custom power device used in power distribution networks. This could be used to improve the power quality in a rural load fed from a wind driven permanent magnet synchronous generator (PMSG). The reference voltage is tracked by voltage source converter using a switching band scheme. A method of extracting the phasor symmetrical components that contain both integer and non integer harmonics and complex Fourier transform relation is proposed. In this paper, it is demonstrated that this device can tightly regulate the voltage at the load terminal when load draws integer, non integer harmonic current and sag and swell in the source side.

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