Ben Slama Sami

Design and dynamic modeling of a fuel cell/ultra capacitor hybrid power system

The aim of this paper is firstly to describe the design than to introduce a new approach of dynamic modeling and simulation results of a Fuel cell/Ultra capacitor (FC/ULC) hybrid power system. The developed model is represented in the state space, so it can be used to implement a suitable control strategy. The given design shows that the transient behavior, effect of the Fuel Cell, is eliminated by the use of the Ultra capacitor through the Flyback converter (FIBC). Thus, the output voltage from the source is maintained with a certain range and meets power demand of the load at high efficiency.

An efficient design of Fuel Cell Electric Vehicle with Ultra-Battery separated by an energy management system

The design of the power source in the Fuel Cell Hybrid Electric Vehicle (FCHEV) is an attractive area in transport applications. The FCHEV combines a Proton Exchange Membrane Fuel Cell (PEMFC) and an Ultra-Battery (UB). A suitable UB is deployed, in FCHEV, for a backup system using efficient energy management. The UB aims to guarantee a rapid transfer of power during transient responses and a permanent power during the absence of hydrogen. To ensure the required power, EMSs have been proposed. An efficiency band UB Partial Load State (PSoCUB) is used to evaluate the proposed design. Therefore, the reliability of our model is tested and evaluated through different results using Matlab / Simulink environment.

Study of dynamic performance of an Hybrid Electric System combining FC/Battery/SC

Hybrid Electrical System (HES), combined various promising devices like a Fuel Cell, a battery and a supercapacitor, is an attractive issue. This system was qualified by its high efficiency for electrical vehicle applications. For that, this article aims to analyze and to evaluate the system performance. A Multi-Input-Multi-Output state space model for PEMFC, Supercapacitor and battery have been established and detailed. To control the load demand and to investigate sources of supply, a precise power management unit (PMU) was discussed and evaluated for the hydrogen fuel consumption and the Battery / Super-capacitor state fluctuations. The simulation results can greatly confirm the system performance using Matlab/Simulink environment.

Study of Hybrid Autonomous Power System Modelling Via Multi-Agents Strategy

In this paper, a design of a Hybrid autonomous Power System is proposed and detailed. The studied system integrates several components as solar energy source, Energy Recovery system based on a proton membrane exchange fuel cell system and two energy storage components, namely, (1) Energy Storage based on H2 gas production, and (2) an Ultra-capacitor storage device. The system is controlled through an energy management Unit which aims to ensure the smooth operation system to be against any unexpected fluctuation. The modelling of the system relies on the application of a multi-agent strategy whose good effects on the performance of the system is evaluated and demonstrated by the obtained simulation results. The improvement of the system performance is proved through a comparison with the conventional strategies. The system that relies on multi-agents control approach seems to be more reliable and promising in term of effectiveness and fast response.

Dynamic response and efficiency improvement of hybrid autonomous power system

In this paper, a design of an autonomous hybrid power system combining a few components as solar energy, a backup system component based on proton membrane exchange fuel cell, namely Energy Recovery and two kinds of energy storage, one based on H2 gas production namely Energy Storage and the second specified by using an Ultracapacitor bank is described and modeled. The main goal of this work is to present and to improve the efficiency of such system using a smart energy management. This latter, based on multi-agents system modeling, used to ensure the smooth operation of such system dedicated to remote area application. The model is developed and tested by MATLAB/Simulink using mathematical and finite state models to follow the behavior of the proposed system. Hence, the simulation results clearly indicate and prove that the multi-agents control approach is a promising and effective method used for the control of the systems combining various energy sources.

Higher Order Sliding Mode Control for PMSG in wind power conversion system

Renewable Energy system (such as: Wind Turbine (WT)) provides a dispatching power and large-scale energy recovery. This latter is a suitable technology in Grid power systems due to its high variability and high levels of renewable generation. A variable Speed WT is one essential objective of the researches in this area. Hence, this paper proposed and discusses an efficient design based on a Higher Order Sliding Mode Control (HOSMC) applied to Permanent Magnet Synchronous Generator (PMSG). The HOSMC can provide a feedback linearization controller utilizes the torque estimate to ensure a torque reference. The HOSMC feedback provides the relationship between the turbine speed and an additional input. To achieve a stable error dynamics and speed tracking, a linear control theory is proposed. The applied speed reference is selected according to a classical MPPT algorithm. The reliability and the effectiveness of the proposed design is given by the Matlab / Simulink environment, from which, the obtained results have been treated and discussed in details.