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The supervision of energy consumption applied to a smart home, seems to be one of the main challenges for the future smart grid. The purpose of this study was to investigate a double layer supervision strategy in order to ensure a flattened power load curve in a residential application. This control is mainly divided into two levels. The first consists of a demand response algorithm, which plays an...
This paper highlights the use of metaheuristic approaches to perform the energy management of a hybrid Fuel Cell/Ultra-Capacitor Electric Vehicle considering hydrogen consumption, Fuel Cell durability and computational time as key performance criteria. The considered architecture is an integrated rule-based metaheuristic approach that combines the simplicity and the effectiveness of rule based and...
Plug-in electric vehicles (PEVs) seem to be an interesting new electrical load for improving the reliability of smart grid. The purpose of this work is to investigate a supervision strategy based on regulated charging of PEVs in order to guarantee an optimized power management of the system and consequently a flatter power demand curve. The system mainly includes PEVs powered by a Lithium-ion battery...
In recent years, introduction of Phasor Measurement Unit (PMU) application implies significantly power system control and monitoring mainly aiming to achieve full system observability and real time state estimation which helps in network's dynamics analysis. In this paper, MATLAB/Simulink is used for PMU modelling and studying its operational capabilities. Additionally, due to economic constraints,...
This paper presents an optimal energy management of a Fuel Cell/Ultra-Capacitor power source based on Ant Colony Optimization metaheuristic for vehicular applications. First, the modeling of the Fuel Cell/Ultra-Capacitor hybrid source which presents a better dynamic performance and energy efficiency is described. Then, the optimal control problem formulation based on the Ant Colony Optimization algorithm...
Renewable energy sources coupled to desalination unit offers a promising prospect for covering the fundamental needs of power and water in isolated regions. In this context, this study aims to control a reverse osmosis desalination unit powered by renewable energy sources and hydrogen storage situated in the Kerkennah islands (Tunisia). The hybrid system is made up of two wind turbines, a photovoltaic...
This paper studies the problem of fault estimation using adaptive fault diagnosis observer method for a DFIG based wind turbine system. This adaptive fault estimation algorithm is proposed to enhance the rapidity and accuracy performance of fault estimation. In particular, an electrical fault scenario, the DFIG winding short circuit fault, is considered due to its high occurrence rates. Based on the...
This paper presents a simulation graphical interface of a sizing algorithm of a hybrid renewable energy system. This algorithm has been developed for sizing the components of a stand-alone PV/wind/hydrogen system supplying a desalination unit which feeds the Kerkennah islands (Tunisia) with fresh water. The aim of this approach is to determine, among a list of commercially available system devices,...
This paper presents an upcoming method searching for an optimal placement of phasor measurement units (PMUs) for power system state estimation. The proposed technique is based on phasor technology that allows to estimate the current status of the electrical network in a reliable and accurate way. In fact, looking for full system observability must take into account the lack of availability of appropriate...
In this study, the penetration of Plug-in Electric Vehicle (PEV) is considered as a solution to minimize the variance of power load, as well as its ability to improve the efficiency and reliability of the power grid and to reduce carbon emission. The studied PEV is powered by Lithium-ion battery, which is characterized by its storage capacity and high energy densities. In this context, a new control...
The real penetration of renewable energy sources (RES) under varying weather conditions required an optimal sizing of hybrid renewable power generation systems. The present paper proposes a methodology based on iterative technique, to perform the optimal sizing of a stand-alone hybrid photovoltaic/wind/hydrogen system supplying a desalination unit which feeds the area’s inhabitants with fresh water...
In this paper, a demand side management control (DSM) acting on the load profile for an isolated hybrid photovoltaic/diesel/battery system for residential application was investigated. This control is a new strategy that compensates the global power flow of a distributed generation system. In fact, using the DSM strategy, the renewable energy can be used effectively to satisfy the demand and reduce...
The increasing integration of fluctuating and NL (non-linear) loads in the main grid can introduce problems to the distribution power system quality. This study was interested in a MG (micro-grid) based on RDG (renewable distributed generator) to participate in system services and to improve the efficiency of the power electrical system. The purpose of this paper is to investigate a multi-objective...
A renewable hybrid system coupled to a reverse osmosis desalination unit in southern Tunisia is studied. The hybrid system includes a photovoltaic generator, a wind turbine, a fuel cell and an electrolyzer. To allow a real penetration of intermittent energy sources and to satisfy the fresh water needs, a new power management algorithm allowing the control of the energy flow between the system components...
This work focuses on applying a Particle Swarm Optimization (PSO) on Fuel Cell/Ultra-Capacitor (FC/UC) Electrical Vehicle. This method is dedicated to minimize the energy sources cost. Indeed, the PSO algorithm allows finding the optimal size of each energy sources by identifying FC and UC cells numbers. A relationship is developed between FC/UC sizing parameters and vehicle requirements. The sources'...
In this paper, a detailed mathematical model of wind turbine with direct drive permanent magnet synchronous generator (PMSG) with controllers connected to the grid is presented to derive a small signal stability model. PMSG is used with and without PI controller and tested for both cases to improve the system stability. Therefore, eigenvalues analysis based approaches have been studied to evaluate...
This paper investigates the action on the dynamic behavior of a domestic washing machine in a multi-agent system. The purpose of this work is to develop a demand side management control strategy by modifying the washer power profile. This strategy leads to increase the renewable energy usage and to reduce peak demands by modifying the electrical profile of the consumer.
The studied system in this paper is a hybrid power source with a Fuel Cell (FC) as a main energy source and an Ultra-Capacitor (UC) as an energy storage system for an electric vehicle. The energy management problem as well as the charge sustaining, which is an optimal control problem are fulfilled by Ant Colony Optimization algorithm while respecting the energetic and dynamic constraints of the hybrid...
The main purpose of an electrical network is to deliver efficiently reliable electricity to consumers. Equilibrium between production and consumption is the principal objective to guarantee the stability of an electrical power system. The imbalance between electricity supply and demand of load active and reactive powers causes the increment or the drop of the grid frequency and voltage. To solve this...
Hybrid power production units seem to be an interesting alternative for supplying isolated sites. This study proposes a new supervision strategy in order to ensure an optimized energy management of the hybrid system. The considered hybrid unit includes a wind generator (WG), a fuel cell (FC), an electrolyzer (EL) and a supercapacitor (SC). An overall power supervision approach was designed to guarantee...
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