PWM Based DC-DC Converter Design with Feedforward Voltage for a Fuel Cell

2014 ◽  
Vol 716-717 ◽  
pp. 1356-1359
Author(s):  
Jun Ming Xiao ◽  
Wen Tai Zhang ◽  
Sheng Jun Wen ◽  
Dong Yun Wang
Keyword(s):  
Fuel Cell ◽  
Dynamic Response ◽  
Power System ◽  
Feedforward Control ◽  
Cooling Process ◽  
Slow Dynamic ◽  
Dc Power ◽  
Control Scheme ◽  
Cell Simulation ◽  
Converter Design

In this paper, a fuel cell power system is considered to supply DC power for a Peltier based cooling process. For the fuel cell, there exist slow dynamic response and soft characteristic due to long-running. Therefore, the fuel cell hybrid power system is designed, including fuel cell, battery, unidirectional DC-DC converter and bidirectional DC-DC converter. In order to reduce the slow dynamic response and soft characteristic, it is the most important that the bidirectional DC-DC converter is controlled for charging or discharging to the battery. A control scheme combined feedforward and feedback is proposed for the bidirectional DC-DC converter, where feedforward control is based on the output voltage of the fuel cell. Simulation results based on the designed circuit and proposed method are given to verify the performance of the converter.

INVESTIGATION INTO AN ARTIFICIAL NEURAL NETWORK BASED FAULT IDENTIFICATION OF HVDC CONVERTER

2004 ◽  
Vol 13 (04) ◽  
pp. 813-827 ◽  
Author(s):  
NARENDRA BAWANE ◽  
A. G. KOTHARI
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Dynamic Response ◽  
Power System ◽  
Operating Mode ◽  
Fault Identification ◽  
Network Architectures ◽  
Dc Power ◽  
Different Types ◽  
Types Of Faults

This paper explores the possibility of using neural network to identify faults that may occur in a HVDC converter system. Based on the ability of these networks to distinguish reliably between different types of faults, the feature can be suitably integrated with ANN based controller to improve the dynamic response of AC–DC power system. In this paper, different neural network architectures to distinguish different faults in HVDC converter are proposed, and comparison between them is made under different system perturbations and faults. The method is independent of the operating mode of the converter.

scholarly journals Optimization of the Fuel Cell Renewable Hybrid Power System Using the Control Mode of the Required Load Power on the DC Bus

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1889 ◽  
Author(s):  
Nicu Bizon ◽  
Valentin Alexandru Stan ◽  
Angel Ciprian Cormos
Keyword(s):  
Energy Source ◽  
Fuel Cell ◽  
Power System ◽  
Control Mode ◽  
Variable Load ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Load Power ◽  
Load Demand ◽  
Dc Bus

In this paper, a systematic analysis of seven control topologies is performed, based on three possible control variables of the power generated by the Fuel Cell (FC) system: the reference input of the controller for the FC boost converter, and the two reference inputs used by the air regulator and the fuel regulator. The FC system will generate power based on the Required-Power-Following (RPF) control mode in order to ensure the load demand, operating as the main energy source in an FC hybrid power system. The FC system will operate as a backup energy source in an FC renewable Hybrid Power System (by ensuring the lack of power on the DC bus, which is given by the load power minus the renewable power). Thus, power requested from the batteries’ stack will be almost zero during operation of the FC hybrid power system based on RPF-control mode. If the FC hybrid power system operates with a variable load demand, then the lack or excess of power on the DC bus will be dynamically ensured by the hybrid battery/ultracapacitor energy storage system for a safe transition of the FC system under the RPF-control mode. The RPF-control mode will ensure a fair comparison of the seven control topologies based on the same optimization function to improve the fuel savings. The main objective of this paper is to compare the fuel economy obtained by using each strategy under different load cycles in order to identify which is the best strategy operating across entire loading or the best switching strategy using two strategies: one strategy for high load and the other on the rest of the load range. Based on the preliminary results, the fuel consumption using these best strategies can be reduced by more than 15%, compared to commercial strategies.

scholarly journals Adaptive Sliding Mode Control Based on Equivalence Principle and Its Application to Chaos Control in a Seven-Dimensional Power System

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Jiangbin Wang ◽  
Ling Liu ◽  
Chongxin Liu ◽  
Xiaoteng Li
Keyword(s):  
Sliding Mode Control ◽  
Power System ◽  
Design Process ◽  
Equivalence Principle ◽  
Sliding Mode ◽  
Chaotic Oscillation ◽  
Adaptive Sliding Mode Control ◽  
Adaptive Sliding Mode ◽  
Mode Control ◽  
Control Scheme

The main purpose of the paper is to control chaotic oscillation in a complex seven-dimensional power system model. Firstly, in view that there are many assumptions in the design process of existing adaptive controllers, an adaptive sliding mode control scheme is proposed for the controlled system based on equivalence principle by combining fixed-time control and adaptive control with sliding mode control. The prominent advantage of the proposed adaptive sliding mode control scheme lies in that its design process breaks through many existing assumption conditions. Then, chaotic oscillation behavior of a seven-dimensional power system is analyzed by using bifurcation and phase diagrams, and the proposed strategy is adopted to control chaotic oscillation in the power system. Finally, the effectiveness and robustness of the designed adaptive sliding mode chaos controllers are verified by simulation.

New Smart Control based on MPPT/MEPT Algorithm for Hybrid Fuel Cell Power System

2020 ◽  
Author(s):  
J. S. Artal-Sevil ◽  
I. Sanz-Gorrachategui ◽  
P. Pastor ◽  
C. Bernal-Ruiz ◽  
F. J. Perez-Cebolla ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Power System ◽  
Smart Control
Sign in / Sign up

Export Citation Format

Share Document