Catégorie : Conférences

  • Control and Fuzzy Logic Supervision of a Wind Power System With Battery/Supercapacitor Hybrid Energy Storage

    Control and Fuzzy Logic Supervision of a Wind Power System With Battery/Supercapacitor Hybrid Energy Storage

    Control and Fuzzy Logic Supervision of a Wind Power System With Battery/Supercapacitor Hybrid Energy Storage

    Youssef KRIM ; Dhaker ABBES ; Saber KRIM ; Mohamed Faouzi MIMOUNI

    7th International Conference on Systems and Control (ICSC)

    DOI: 10.1109/ICoSC.2018.8587779 

    Abstract:

    In this paper, we propose a control and fuzzy logic Power Management Supervisor (PMS) for a grid-connected wind power system associated with Hybrid Energy Storage (HES) made up of Batteries (BT) and Supercapacitor (SC). Batteries are used to meet the energy requirements of a long-term, while SC is used to meet the demand for instant power. The SC can act as a buffer against large magnitudes and rapid fluctuations of power. The PMS is developed to manage the energy flows between the storage devices, by maintaining their State Of Charge (SOC) into acceptable levels, and to establish the priority order between them. The main objective of this work is the combination of two storage technologies with fuzzy logic supervision. It aims to meet the expectations of various production scenarios for a wind generator, to keep stable the DC bus voltage, and to participate in ancillary services such as: respecting a production program, supporting the grid and optimizing storage elements lifespan. Simulation results prove the efficiency of proposed power control and supervision strategy.

    Keywords:

    Fuzzy Logic Supervision, PMS , Grid-Connected Wind Power System, Energy Requirements, Instant Power, Storage Devices, Storage Technologies, Wind Generator,
    Proposed Power Control, Supervision Strategy, Battery-Supercapacitor Hybrid Energy Storage, Batteries, Storage elements lifespan, Fuzzy Logic Power Management Supervisor

     

     

     

    PUBLICITÉ :

  • A survey on energy management and blockchain for collective self-consumption

    A survey on energy management and blockchain for collective self-consumption

    A survey on energy management and blockchain for collective self-consumption

    Matthieu Stephant ; Kahina Hassam-Ouari ; Dhaker Abbes ; Antoine Labrunie ; Benoît Robyns
    7th International Conference on Systems and Control (ICSC 2018)

    DOI: 10.1109/ICoSC.2018.8587812

     

     

    Abstract:

    This paper gives a definition of collective self-consumption and introduces the current regulatory framework in some European countries. It proposes a review of relevant Demand Side Management (DSM) methods applicable to improve the collective self-consumption rate. It also introduces the concept of blockchain and its possible applications to collective self-consumption, with a focus on some current experimentations. Current blockchain applications include validation of measured data and energy transactions. New architectures propose a completely decentralized energy market and grid control based on the blockchain technology. However, a deeper analysis of the benefit of blockchain is required. The legal framework will also play a role on the future deployment of these applications.

     

    Keywords:

    Energy Management , Current Regulatory Framework , Collective Self-Consumption Rate, Possible Applications, Current Experimentations, Current Blockchain Applications, Energy Transactions, Completely Decentralized Energy Market, Blockchain Technology, Demand side Management  Methods, European Countries, DSM Methods, Grid Control

     

     

     

    PUBLICITÉ :

  • Energy management and batteries lifespan estimation in a photovoltaïc system with hybrid storage : a comparative study

    Energy management and batteries lifespan estimation in a photovoltaïc system with hybrid storage : a comparative study


    PV hybrid storage
     

    RÉSUMÉ / ABSTRACT :

    In this paper, a photovoltaic system with hybrid storage connected to the grid has been studied. A smart supervision algorithm based on fuzzy logic has been successfully developed. In addition, a comparative study of different hybrid storage possibilities in terms of batteries longevity has been done using rain-flow cumulative damage method.





  • Hybridization of electrical energy storage for intelligent integration of photovoltaics in electric networks

    Hybridization of electrical energy storage for intelligent integration of photovoltaics in electric networks


    Energy management structure
     

    RÉSUMÉ / ABSTRACT :

    In this paper, a photovoltaic system with super capacitors and batteries hybrid storage connected to the grid has been studied. A smart supervision algorithm based on fuzzy logic has been successfully developed. In addition, contribution of storage hybridization on batteries longevity has been proved using rain-flow cumulative damage method.





  • Etude du vieillissement d’un banc de stockage plomb-acide dans un système hybride multi-sources

    Etude du vieillissement d’un banc de stockage plomb-acide dans un système hybride multi-sources

    RÉSUMÉ / ABSTRACT :

    L’objectif de cet article est de présenter une méthodologie pour le calcul du taux de vieillissement d’une batterie de stockage insérée dans un système hybride multi-sources. La démarche consiste dans un premier temps à connaître les sollicitations de la batterie durant une année connaissant à chaque instant son état de charge (SOC). Cette courbe est obtenue à partir d’un simulateur dynamique prenant en compte les intermittences des sources et de la charge. La deuxième étape concerne la détermination du nombre de cycle et de la profondeur de décharge de chacun à partir du SOC. Enfin, à partir de la caractéristique de durée de vie de la batterie donnée par le fabricant (nombre de cycle en fonction de la profondeur de décharge (DOD) ) le taux de vieillissement de la batterie pour une année de fonctionnement est déterminé.





  • Statistical study of the influence of the data sampling interval on the estimation of wind turbine energy

    Statistical study of the influence of the data sampling interval on the estimation of wind turbine energy

    RÉSUMÉ / ABSTRACT :

    Main deficiency for wind power is variability. It is really difficult to predetermine the wind’s potential since wind velocity cannot be controlled or predicted with pinpoint accuracy.
    In this paper, two different methods are applied in order to estimate the monthly wind energy for different sites; those estimations are done using Weibull distribution and calculating energy with direct integration methodology. In additional, the influence of the data sampling interval is studied. Results show that the computational method based on the integration of the power is more accurate. Also, it is shown that the hourly time resolution provides satisfactory accuracy in wind resource estimation, in comparison with one minute’s resolution. Results allow better design of wind or hybrid systems. Moreover, wind speed acquisitions are minimized. A shorter time of treatment and less expensive measurement equipments are required.

     

  • Emulation of a hybrid PV-Wind-Battery system

    Emulation of a hybrid PV-Wind-Battery system

    RÉSUMÉ / ABSTRACT :

    This paper is focused on the design and the implementation of a hybrid PV-wind power system with batteries. It aims to emulate the behavior of a hybrid power system in order to face load consumption variations. Final system includes relevant contributions such as quality of emulator (a large number of parameters are considered); capacity to study various impacts simultaneously, a fast dynamic and a set of experimental tests that have been achieved and validated with a test bench.


  • Costs and Life-Cycle Energy optimization for a low energy housing renovation actions

    Costs and Life-Cycle Energy optimization for a low energy housing renovation actions

    RÉSUMÉ / ABSTRACT :

    Economic cost is a very important decision criterion in renovation projects. Environmental impacts are also gaining more. Renovation’s actions will improve energy efficiency in building but also concerns manufacturing, transportation, emissions,… In this paper, an approach for optimizing both economic and environmental costs is presented. A procedure of actions optimization based on thermal dynamic simulation has been successfully applied for a house in France. Different scenarios are studied and analyzed.





  • Dimensioning a hybrid electrification system (PV / WT / DG + battery) using a dynamic simulation

    Dimensioning a hybrid electrification system (PV / WT / DG + battery) using a dynamic simulation

    RÉSUMÉ / ABSTRACT :

    The aim of this paper is to demonstrate that a dynamic simulator, taking into account temporal data of renewable sources and using energy on one year, is able to sizing each element composing the electric generation system and the storage system. The electrical system includes photovoltaic panels (PV), a wind turbine (WT), a diesel generator (DG) and a storage battery. To illustrate the sizing capability of the dynamic simulator, we have fixed the surfaces of the PV and wind turbine as well as the battery. We are looking to obtain 100% supply by whole generation system. The study is limited to the power minimization of the diesel generator and to elaboration a strategy of starting and stopping the DG according to the SOC of the battery. I.e. with minimum power of DG, minimize the number of start-up and minimize the amount of excess energy. The simulation results for several sizing of DG illustrate the possibility to choose the power DG and the SOC thresholds of the battery to starting or stopping the DG.





  • Modeling and simulation of a photovoltaic system: An advanced synthetic study

    Modeling and simulation of a photovoltaic system: An advanced synthetic study

    RÉSUMÉ / ABSTRACT :

    This paper focuses on modeling and simulation of a buck converter based on a PV standalone system. This advanced synthetic study includes PV generator modeling with parameters identification, an improved P&O (Perturb and Observe) algorithm with adaptive increment step and a detailed approach of DC-DC converter modeling. A thorough method is used to determine parameters for PI current controller. The set was used to simulate a whole photovoltaic conversion chain under Matlab/Simulink environment. A special focus has been dedicated to the influence of solar irradiation variations on converter dynamic and behavior as a range of PV current 0-8 A was considered. Simulation results confirm stability, accuracy and speed response of synthesized regulator and MPPT algorithm employed. Dynamic analyses show that the more restricting control concerns low values of current (low irradiation). This work will be useful for PhD students and researchers who need an effective and straightforward way to model and simulate photovoltaic systems.