scholarly journals Practical Maximum-Power Extraction in Single Microbial Fuel Cell by Effective Delivery through Power Management System

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2312
Author(s):  
Jeongjin Yeo ◽  
Taeyoung Kim ◽  
Jae Jang ◽  
Yoonseok Yang
Keyword(s):  
Fuel Cell ◽  
Microbial Fuel Cell ◽  
Power Management ◽  
Operation Time ◽  
Electrical Energy ◽  
Maximum Power ◽  
Extraction Technology ◽  
Power Extraction ◽  
Point Tracking ◽  
Power Point

Power management systems (PMSs) are essential for the practical use of microbial fuel cell (MFC) technology, as they replace the unstable stacking of MFCs with step-up voltage conversion. Maximum-power extraction technology could improve the power output of MFCs; however, owing to the power consumption of the PMS operation, the maximum-power extraction point cannot deliver maximum power to the application load. This study proposes a practical power extraction for single MFCs, which reserves more electrical energy for an application load than conventional maximum power-point tracking (MPPT). When experimentally validated on a real MFC, the proposed method delivered higher output power during a longer PMS operation time than MPPT. The maximum power delivery enables more effective power conditioning of various micro-energy harvesting systems.

scholarly journals Hybrid Fuzzy Based MPPT Techniques for Maximum Power Extraction

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1140-1148
Keyword(s):  
Maximum Power ◽  
Photovoltaic System ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Pv System ◽  
Power Extraction ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Incremental Conductance ◽  
Power Point

The extensive usage of solar has extended the opportunity of research to increase the efficiency of PV module. Maximum Power Point Tracking technique plays an important role. In P & O and Incremental conductance the power produced is less. In this paper a Fuzzy based P & O and Fuzzy based Incremental Conductance MPPT techniques are presented to extract the maximum power from the photovoltaic system by considering the dynamic variation in irradiations and temperature also. Here the 100 kW PV array is considered and it is connected to the utility grid via a DC-DC boost converter of 500volts with a 3 phase three level voltage source converter. The result is obtained by the MAT LAB Simulink and the same is appraised with the traditional P & O and Incremental conductance. The PV System produces the maximum power by the application of Fuzzy based incremental Technique compared to conventional methods.

Comparative Study of Two Different Converters with its Controller for Grid Connected WECS with PMSG

2019 ◽  
Vol 8 (2) ◽  
pp. 1-24
Author(s):  
Sasmita Behera ◽  
Matruprasad Jyotiranjan
Keyword(s):  
Power Quality ◽  
Pulse Width Modulation ◽  
Harmonic Distortion ◽  
Synchronous Generator ◽  
Electrical Energy ◽  
Maximum Power ◽  
Multilevel Inverter ◽  
Resistive Load ◽  
Power Extraction ◽  
Point Tracking

Wind is a source for generating clean and economical electrical energy with a proper harnessing mechanism. For a wind energy conversion system (WECS), maximum power extraction with optimum power quality is required. In this article, the grid power quality is enhanced, using a multilevel inverter which provides smoother and pure sinusoidal waves as compared to two-level inverter by decreasing total harmonic distortion (THD) in WECS with a permanent magnet synchronous generator (PMSG). Also, a maximum power point tracking (MPPT) algorithm is based on an optimal torque controller, employed to extract more power. In this study, a WECS with a PMSG connected to the local linear resistive load and grid is considered for simulation. A multilevel inverter grid interface is controlled by in phase disposition pulse width modulation (IPD – PWM). The multilevel inverter with MPPT has been acknowledged as superior to a normal two-level inverter without MPPT Controller. Simulation results as observed for fixed and variable wind speed including MPPT demonstrate benefits of the proposed method.

scholarly journals Kalman Filter-Based Online Identification of the Electric Power Characteristic of Solid Oxide Fuel Cells Aiming at Maximum Power Point Tracking

Algorithms ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 58 ◽  
Author(s):  
Andreas Rauh ◽  
Wiebke Frenkel ◽  
Julia Kersten
Keyword(s):  
Fuel Cells ◽  
Fuel Cell ◽  
Electric Power ◽  
Maximum Power ◽  
Power Characteristic ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Stochastic Filter ◽  
Power Point

High-temperature fuel cells are one of the devices currently investigated for an integration into distributed power supply grids. Such distributed grids aim at the simultaneous production of thermal energy and electricity. To maximize the efficiency of fuel cell systems, it is reasonable to track the point of maximum electric power production and to operate the system in close vicinity to this point. However, variations of gas mass flows, especially the concentration of hydrogen contained in the anode gas, as well as variations of the internal temperature distribution in the fuel cell stack module lead to the fact that the maximum power point changes in dependence of the aforementioned phenomena. Therefore, this paper first proposes a real-time capable stochastic filter approach for the local identification of the electric power characteristic of the fuel cell. Second, based on this estimate, a maximum power point tracking procedure is derived. It is based on an iteration procedure under consideration of the estimation accuracy of the stochastic filter and adjusts the fuel cell’s electric current so that optimal operating points are guaranteed. Numerical simulations, based on real measured data gathered at a test rig available at the Chair of Mechatronics at the University of Rostock, Germany, conclude this paper.

scholarly journals Maximum Power Point Tracking for a Point Absorber Device with a Tubular Linear Switched Reluctance Generator

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2192 ◽  
Author(s):  
Rui Mendes ◽  
Maria Calado ◽  
Sílvio Mariano
Keyword(s):  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Switched Reluctance ◽  
Power Extraction ◽  
Point Absorber ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Average Maximum ◽  
Power Point

This paper addresses the control of a Tubular Linear Switched Reluctance Generator (TLSRG) with application in a point absorber device. A maximum power point tracking (MPPT) strategy is proposed to maximize the power extraction from ocean waves. The generator is characterized by average maximum force of 120 kN and a maximum velocity of 1.3 m/s. The proposed MPPT is achieved by changing the generator damping load according to the excitation force induced by a regular wave. A hysteresis controller is applied to regulate the phase current intensity which allows the control of the linear force provided by the generator. The conversion system direct current (DC) bus voltage is adjusted by an isolated DC/DC converter with a proportional integral controller to define the appropriate duty-cycle.

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