This paper proposes an advanced energy management system (EMS) for a stand-alone hybrid energy system. The considered hybrid system includes a photovoltaic panel, a fuel cell, an electrolyzer and a battery bank. The EMS aims to optimize the utilization cost of the hybrid power system and to improve its energy balance with the elimination of any energy deficit.The hybrid power system has been tested by simulation using models implemented in Matlab/Simulink software. The simulation is performed over a long period of time in order to evaluate the effectiveness of the management strategy. The simulation results confirm the efficiency of the proposed control strategy, as it increases the reliability of the system and improves its energy balance.

The main aim of this work is to develop an energy management algorithm (EMS) that control renewable energy system that consists of PV panels, lead acid battery banks and supercapacitor. On addition to that a Graphical user interfaces is developed to control the power system. The efficiency of the controller was tested by the mean of simulation, the result assume the effectiveness of the proposed control method and the intelligent management of the power flow controller.

Maximum power point trackers are so important in photovoltaic systems to improve their overall efficiency. This paper presents a photovoltaic system with maximum power point tracking facility. An intelligent Sliding mode controller method is proposed in this paper to achieve the maximum power point tracking of PV modules. The system consists of a photovoltaic solar module connected to a DC-DC boost converter. The system is modeled using MATLAB/SIMULINK. The system has been experienced under disturbance in the photovoltaic loads and irradiation levels. The simulation results show that the proposed maximum power tracker tracks the maximum power accurately and successfully in all tested conditions. The MPPT system is then experimentally implemented. DSPACE is used in the implementation of the MPPT hardware setup for real-time control. Data acquisition and system control are implemented using dSPACE 1104 software and digital signal processor card. The experimental results show the efficiency of the proposed algorithm and confirm the simulation results.

This paper deals with the optimal sizing and management of power system for medium rural health clinic located in the Batna region (Algeria). The study evaluates different power configurations depending on economic, environmental and technical characteristics. The main objective is to cover the entire loads with an uninterruptible, high quality power supplies with lowest cost of energy and high renewable energy penetration.

In recent years, electrical energy has become a vital component for human life. Moreover, the interest for alternative energy sources has an exponential rise nowadays as a consequence of the limitation in conventional energy sources. Wind energy is considered one of the most important renewable energy sources. Nowadays, in order to ensure an optimal energy use, management and control technologies of wind energy conversion system are developed rapidly. In this paper, both of the vector controller and sliding mode control strategy for an isolated doubly fed induction generator-based wind energy conversion system are studied, described, tested and compared. In order to ensure the safety of the connected load, the main purpose of the present work is to maintain output stator voltage and frequency at their reference values whether for load demand power variations and wind speed fluctuations. Experimental results demonstrate the effectiveness of the presented control strategies.

The present paper deals with a real time implementation of a new adaptive frequency-based power management strategy of a small-scale hybrid battery-super capacitor system, dedicated to an electric vehicle. The ultimate objective of the strategy is to ensure a smart use of the two sources, improving as a consequence both the autonomy and the system lifetime. To do so, and unlike the conventional power frequency separation technique, the filter adapts its pass band frequency to keep the charge’s state of each source in a tolerable range and provides power amounts to the load demand. The experimental results demonstrate that the system commutates smoothly between the operating modes, which proves the effectiveness of the proposed control techniques.

The problematic is to study the management of a hybrid energy system, depending on demand, dedicated to self-governing houses. Energy can be supplied by a photovoltaic panel, a wind turbine and a diesel generator and it can be stored in batteries. The study of this type of systems requires a good control strategy and an effective management. The main objective of this study is to develop a reliable management model and to simulate the hybrid system of a house located in Monastir-Tunisia, with different domestic loads, such as a washing machine, freezer, refrigerator... A system of energy management that can adjust, optimize and adapt the consumption to the available energy resources while satisfying the request is then examined. Thus, to study the problem of energy management and reduce energy consumption and production of greenhouse gases, the definition off an analysis tool on MATLAB/SIMULINK has allowed the covering of load demand in an optimized manner using the optimal system chosen by HOMER.