Tesi sul tema "Système d’énergie hybride"
Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili
Vedi i top-20 saggi (tesi di laurea o di dottorato) per l'attività di ricerca sul tema "Système d’énergie hybride".
Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.
Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.
Vedi le tesi di molte aree scientifiche e compila una bibliografia corretta.
Sandoval, torres Cinda Luz. "Contrôle d’une source d’énergie hybride : Pile à combustible-Supercondensateur". Thesis, Paris, ENSAM, 2016. http://www.theses.fr/2016ENAM0067/document.
Energy generation from fossil fuels combustion is predicted to have severe future impacts in the world’s economy and ecology. Fuel cells and supercapacitors are an alternative power source, environmentally friendly.This dissertation presents a regulation architecture developed to coordinate a hybrid renewable source for typical solicitations of electric vehicles in a scaled operating range of 1 kW. The hybrid system is composed of a Polymer Electrolyte Membrane (PEM) fuel cell module, a supercapacitors bank and their respective power conditioning units. In order to optimize the overall operation, the proposed strategy is organized into three hierarchical levels, and the power demand for each energy source is determined in real time with a basis on a frequency distribution and a cutoff frequency, defined in accordance with the dynamical capabilities of the sources.Even if numerous researches have been reported on the subject, few studies have taken into account the proper dynamics of each source in order to optimize the global performance of the hybrid power supply.The goal of this work is to implement a complete simulator integrating not only dynamical models of each energy source, but also dynamical models of the power conditioning units. The control strategy consists of nested loops, arranged in three functional levels of hierarchy. The central idea is to find the optimal set point for each energy source, according to their own physical properties. Contrary to the existing control strategies, this strategy dynamically calculates the appropriate power demand for each energy source. Due to the complexity of the system, cascade control loops are proposed, organized into blocks, according to the system functionality and dynamics.A functional simulation is obtained, where the system ensures the adequate supercapacitor state of charge and soft current demands to keep the fuel cell working in its safe operating region. Thus, lower fuel consumption and rapid response to load demands are guaranteed to improve efficiency.Results demonstrate that the control strategy allows the regulation of the DC bus voltage under UDDS and ECE-15 driving cycles as load profiles. The fuel cell works within its maximum efficiency region, without falling in the degradation zone. In addition, the supercapacitor state of charge remains within the recommended range
Itani, Khaled. "Récupération d’énergie pour système intégré moteur roue, application au véhicule électrique". Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLN025/document.
The thesis will address the quantification of power flow going through the different energy static and dynamic conversion systems to attain the chemical / electrostatic / mechanical storage elements during a hybrid regenerative brutal braking of a front-wheel driven electric vehicle. The electric vehicle is equipped by two integrated wheel-motors independent sets. The control of the converters and electrical machines is also treated. The problematic concerns the brutal regenerative braking case imposing high electrical and mechanical constraints on energy conversion and storage elements. The simulation tool adopted is Matlab/Simulink®. A detailed model of the used electric vehicle has been developed in order to be able to simulate the vehicle behavior with respect to the braking forces distribution delivered by the repartition and quantification of braking forces system. A study of the kinematics and dynamics of the vehicle according to different road types will be also considered. This study will be used retrospectively in the formulation of the braking forces distribution laws. The motors used are interior permanent magnet synchronous type. The objective is to ensure high electrical braking torque at high driving speeds of the vehicle. To this end, the optimal control of these motors will be based on a new current references generation method assuming then a high regenerative torque and therefore an improvement in the recovered energy. The hybrid storage system includes a Li-Ion battery and supercapacitors cells to reduce stress on the battery and to extend its life. The power structure of the system will be analyzed as well as the 3-level DC/DC converter interfacing the ultracapacitor with the DC bus proposed control system. A braking resistor controlled by a pseudo- cascaded controller will also be integrated to reduce, if necessary, the constraints on the battery. The evaluation and distribution of braking forces on the four wheels depending on road conditions are key elements for the stability of the vehicle during braking. The method of distribution and quantification of braking forces proposed should maintain this stability , meet international standards and take advantage of the presence of wheel motors in the front of the vehicle to maximize the energy recovered. The work has been extended to include a comparative study with a system containing a kinetic energy storage element as a secondary energy source for a braking and traction vehicle operation. The thesis is the starting point of a research collaboration between IFSTTAR / Satie and the Electrical Engineering Department of Cnam- Liban, associated center of the Conservatoire National des Arts et Métiers ( CNAM ), Paris, France
Bendjedia, Bachir. "Gestion et optimisation d’énergie électrique avec tolérance aux défauts d’un système hybride PàC/ batterie". Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS229.
The work of this thesis is part of a theme that concerns the optimal sizing and energy management resilient to the faults of a multi-source system (hybrid) for the power supply of an electric vehicle. In our case, the storage system consists of a fuel cell as the main source and a secondary source based on a Li-ion battery. The study carried out on the sizing shows the interest of the hybridization compared to a mono-source single battery or fuel cell only system. The interest of this hybridization in terms of weight, volume and cost becomes more and more important by increasing the autonomy of the vehicle. After scaling the hybrid source for a 700 km drive range, we investigated the influence of battery technology and management methods on the performance of the source (volume, mass, cost, electrical stress applied to the components and the hydrogen consumption of the Fuel Cell / Battery system).The sizing part is followed by the development of an original energy management strategy based on the state of charge of the battery (SOC) to adapt the operating limits of the fuel cell. The results obtained with this method are compared with two other online energy management strategies namely, the frequency division method and the use of a fuzzy supervisor. The strategy developed gave good experimental results in terms of constraints seen by cells and hydrogen consumption. Despite a good sizing of the on-board source and a good optimization of the energy management method, the system is not immune from the fault and can be the seat of several faults that can appear at voltage sensors. and current. In order to ensure the service continuity of the hybrid system in the presence of these faults, a fault-tolerant control strategy has been developed in order to guarantee the stability of the hybrid Fuel Cell/ Battery system and to ensure acceptable performance in degraded mode
Lemay, Justin. "Lévitation d'un palier magnétique hybride homopolaire". Mémoire, Université de Sherbrooke, 2014. http://hdl.handle.net/11143/5844.
Ceschia, Adriano. "Méthodologie de conception optimale de chaines de conversion d’énergie embarquées". Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPAST023.
The research work proposed in this thesis falls within the context of embedded systems electrification with the development of a new hybrid power conversion chain, with new energy sources and powertrains. These systems offer many degrees of freedom regarding both the devices parameters and the tuning values of the associated control laws. The relevant (technico-economic) optimization of these complex power chains relies on the ability of the best-set algorithm to combine simultaneously the main parameters and the technological constraints of each component, the uncertain environmental conditions faced during areal use and finally the control algorithms as well as the global energy management. Their performances are based on the capacity of the design approaches to consider the real environment multiphysic constraints, the adequacy of the technologies, the topologies and the control laws, allowing to integrate and to associate effectively their constituents. In this context, this research work aims at developing tools and methods allowing the optimization of the power architectures and their components (hybrid energy conversion) by integrating in the design process the control-command and the energy management aspects. They consider a use case based on hybrid Fuel cell / Battery power system.For this purpose, a new nested methodology for complex system is been suggested. It enables to tackle large search spaces and considers different performance indexes (energy saving, reliability and volume). It simultaneously tunes and designs the energy management and component sizing by optimizing the main powertrain parameters while respecting the specifications. Technically, it uses two nested loops, combining the particle swarm optimization (PSO) technique’s performance and the rapid optimal control algorithm. This strategy addresses vast search spaces, achieves faster convergence to the global optimal integer design solution, and provides a good accuracy and robustness. In order to consider the randomness feature of real driving cycle (stochastic characteristic), a real time energy management strategy (EMS) was introduced based on an extension of the design approach, which increases its availability. By using machine-learning technique, an estimation of the current driving mode is developed and permits to guide the online energy management system
Abdou, Tankari Mahamadou. "Système multi-sources de production d'énergie électrique : méthode de dimensionnement d'un système hybride et mise en œuvre expérimentale de l'optimisation de la gestion d'énergie". Le Havre, 2010. http://www.theses.fr/2010LEHA0011.
This work is funded by the "Region Haute Normandie", the University of Le Havre and the GREAH laboratory, within the scope of research activities developed in the decades by GREAH laboratory on integration of renewable energy sources in systems of power generation and energy storage. The hybrid system considered consists of a wind generator, a diesel generator, photovoltaic panels, ultracapacitors and lead acid batteries for supplying the autonomous site (consumers). The wind power generator and photovoltaic panels are regulated at their maximum power to increase the penetration ratio of the renewable energy. The wind power fluctuations are dispatched between ultracapacitors and batteries according to the dynamics of each source. The using of ultracapacitors reduces the number of the battery cycles of charges and discharges, thereby improving its life and reduces its size. Because of the battery is the weak link of the system, we introduce a method to estimate its lifetime. The diesel generator is interfaced with the power electronics in aims to regulate the DC-bus voltage while compensating the difference between the load demand and the average value of the wind power. Fluctuations induced by the wind power generator are being absorbed by the storage devices. The diesel generator compensates only low frequencies energy compatible with its dynamics. This method can improve the performance of the diesel engine and can reduce the fuel consumption. The control laws of power converters and the energy transfer management methods are developed from a study of the technological characteristics of different components of the system. The modelling and sizing of the physical system is conducted in aim to perform the experimental implementation. The power electronic converters and the acquiring system (and measuring) are realised in the laboratory. During the experiments, different sources are inserted into the system in an evolutionary way to highlight the constraints and interactions introduced by each interconnected source. This also allows us to develop solutions tailored to each situation and to continue the experiments efficiently. Indeed, the insertion of a new source generally disrupts the stability of the system and often requires a readjustment of the parameters of the overall system regulation. Analyses of experimental results show the effectiveness of the strategy proposed for the energy management and the control of power converters
Denis, Nicolas. "Système de gestion d'énergie d'un véhicule électrique hybride rechargeable à trois roues". Thèse, Université de Sherbrooke, 2014. http://hdl.handle.net/11143/5856.
Said, Mohamed Mariama. "Architecture et étude d’un système électrique hybride destine à l’autonomie d’une zone rurale". Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0044.
The presented work focuses on the study of the architecture of a hybrid electric system (HES) made of different sources. First, we studied a configuration consisting of photovoltaic, wind, PEM fuel cell as sources and batteries, electrolyser and hydrogen tank as storage elements. Then in a second phase, only hydrogen storage is considered to ensure the electrical autonomy of a rural area in Comoros. The coupling of these different sources aims to improve the performance, the availability of the resulting electrical network, the supply of electricity over much longer periods and, above all, the satisfaction of the uses by operating each source in a reasoned way. First, we have analysed the main components of our system. Then, we established the mathematical models that describe the behaviour of the different parts of our hybrid energy system which is here the formalism used for the modelling. The modelling and simulation of the PV and wind systems use a MPPT control to maximize the delivered power. In the first configuration, the battery charge/discharge process is controlled to stabilize the DC bus voltage. The fuel cell makes the system more durable. It also helps to stabilize the DC bus voltage, in case of too much battery discharge. Thus, the use of a harmonic filter reduces the rate of harmonic distortion. Harmonics are compensated as well than the reactive current component in normal or unbalanced operating conditions. The presented simulation results have illustrated the behaviour of the different components of the HES in transient and steady states. Finally, the proposed system, analysed with the help of HOMER, would be able to provide a solution to the demand of a rural area in the Comoros or in any place suffering of a weak grid by using only hydrogen storage
Kanchev, Hristiyan. "Gestion des flux énergétiques dans un système hybride de sources d’énergie renouvelable : Optimisation de la planification opérationnelle et ajustement d’un micro réseau électrique urbain". Thesis, Ecole centrale de Lille, 2014. http://www.theses.fr/2014ECLI0001/document.
The presented research works aim to develop an energy management system for a cluster of distributed micro gas turbines and controllable PV generators called «active generators». The general principles of electricity generation from renewable and non-renewable energy sources are first presented. The operation of actual electric grids is also recalled in order to highlight the challenges and expected innovations in future Smart Grids. Then, the integration of a novel method for maximum and limited power point tracking in a PV-based active generator is presented. The modeling of micro-gas turbines in a microgrid energy management system is also presented. The main contribution of this thesis concerns the design of an operational planning of generators one day ahead by the means of a dynamic programming-based algorithm, taking into account the PV power production and the consumption forecasts. The proposed method calculates the production planning of generators by performing a global optimization of an objective function. An adjustment algorithm is proposed and executed every ½ hours through a communication network in order to take into account the uncertainty in forecasted values. An urban microgrid is used for testing the developed algorithms through Supervisory Control and Data Acquisition (SCADA) with hardware-in-the-loop and real-time simulations. Comparisons of the microgrid operation in identical situations with different objective functions are performed, as well as evaluations of economic and environmental indicators
Reinbold, Vincent. "Méthodologie de dimensionnement d’un moteur électrique pour véhicules hybrides : optimisation conjointe des composants et de la gestion d’énergie". Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENT073/document.
Since the development of computers and calculation capacities, the design of electrical components in electrical engineering is widely based on computing simulations and on numeral calculations. In complex systems, where numerous components interact for the working of the system, the optimal sizing of the component deeply depends on its systemic environment. The design of each component is strongly linked to the functioning of the global system. Therefore, the joint design of the component into its systemic environment allows to improve the efficiency of the system. In this methodological context, we optimize an electric machine for a hybrid vehicle. The aim of this work is to improve the global efficiency of the vehicle. In this work, we build a magnetic circuit model, and we propose two approaches for solving the optimization problem. The key points of this work are : the consideration of the environment of the electrical machine, the driving cycle and the energy management of the system
Nguyen, Bao Huy. "Stratégies de gestion d’énergie pour véhicules électriques et hybride avec systèmes hybride de stockage d’énergie". Thesis, Lille 1, 2019. http://www.theses.fr/2019LIL1I045/document.
Electric and hybrid vehicles are among the keys to solve the problems of global warming and exhausted fossil fuel resources in transportation sector. Due to the limits of energy sources and energy converters in terms of power and energy, hybridizations are of interest for future electrified vehicles. Two typical hybridizations are studied in this thesis: • hybrid energy storage subsystem combining batteries and supercapacitors (SCs); and• hybrid traction subsystem combining internal combustion engine and electric drive. Such combined energy sources and converters must be handled by energy management strategies (EMSs). In which, optimization-based methods are of interest due to their high performance. Nonetheless, these methods are often complicated and computation consuming which can be difficult to be realized in real-world applications.The objective of this thesis is to develop simple but effective real-time optimization-based EMSs for an electric car and a parallel hybrid truck supplied by batteries and SCs. The complexities of the studied system are tackled by using Energetic Macroscopic Representation (EMR) which helps to conduct reduced models for energy management at the supervisory level. Optimal control theory is then applied to these reduced models to accomplish real-time EMSs. These strategies are simple due to the suitable model reductions but systematic and high-performance due to the optimization-based methods. The performances of the proposed strategies are verified via simulations by comparing with off-line optimal benchmark deduced by dynamic programming. Moreover, real-time capabilities of these novel EMSs are validated via experiments by using reduced-scale power hardware-in-the-loop simulation. The results confirm the advantages of the proposed strategies developed by the unified approach in the thesis
Barakat, Mahmoud. "Development of models for inegrating renewables and energy storage components in smart grid applications". Thesis, Normandie, 2018. http://www.theses.fr/2018NORMC217/document.
This thesis presents a unique model of the SGAM (Smart Grid Architecture Model) with considering the state of the art of the different research directions of the smart grid and. The hybrid marine-hydrogen active power generation system has been modeled to represent the component layer of the SGAM. The system integrates the MW scale PEM electrolyzer and fuel cell systems as the main energy balance components. The LiFePO4 battery is used to cover the fast dynamics of the electrical energy. Moreover, the thesis analyzes the centralized and the decentralized energy management system. The MAS (Multi-Agent Systems) represents the paradigm of the decentralized system. The JADE platform is used to develop the MAS due to its general domain of application, open source and free license software, interface with MATLAB and the computability with the FIPA (Foundation of Intelligent Physical Agent) standards. The JADE based energy management system balances the energy between the generation (marine-current energy conversion system) and the demand side (residential load profile) during the stand-alone and the grid-connected modes of operation. The proposed model of the SGAM can be considered as a pilot case study that enables the detailed analysis and the applications of the different smart grid research directions
Ciocan, Alexandru. "Contributions aux systèmes de stockage d’énergie en utilisant des systèmes hybrides à partir de sources d’énergie alternatives". Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0028/document.
The thesis entitled «Contributions to energy storage using hybrid systems from alternative energy sources» proposes a study of the energy storage technologies knowing the fact that these are considered one of the options that can facilitate a high penetration of renewable sources. In this context, the presented work aims to understand challenges in terms of energy storage and to develop a general studying model using compressed air as an energy storage medium.The thesis is structured in ten chapters from which the first four are dedicated to the presentation of the renewable energy sources potential, to the energy sector evolution in the last decades and to the energy storage technologies, especially in the form of compressed air. The other six chapters are dealing with the theoretical thermodynamic calculations as far as that goes in investigating the performances of a hybrid energy storage system and presenting a mathematical model containing the steps taken into account in the renewable energy conversion into mechanical energy, stored in a form of compressed air and later reconverted into electricity. In addition these chapters present experimental data obtained on a laboratory installation which helped in validating the theoretical results obtained following a Matlab simulation, and finally a case study for a small scale application, 30 kWh of energy stored, where is aiming to find an optimal configuration of the whole system in terms of air working pressure, being analyzed from two points of view, technical and economic. The thesis ends with a chapter of general conclusions and indicates that there are still challenges that must be overcome in order to make the energy storage in a form of compressed air a feasible solution from an economic perspective
Roth, Anastasia. "Développement de méthodologies génériques pour la conception optimale et durable des parcs hybrides d'énergies renouvelables". Thesis, Toulouse, INPT, 2019. http://www.theses.fr/2019INPT0036/document.
Sustainable growth issues and climate change imply to shift our society organisation towards new paradigms. In the energy sector, it is illustrated by an energy transition via renewables. Within this context and the support of the company VALOREM, we propose a methodology for the sustainable development and design of renewable infrastructures. By using a Model Driven Engineering approach, we were able to adopt several viewpoints on renewable energy issues, while keeping a consistent scientific approach. First of all, from a holistic stance, we developed a conceptual framework for land settlement development process. Thanks to its modelling with UML2 and a methodology to assess the sustainability of processes, it can be used to analyse the trajectory of sociotechnical systems. The framework was tested on two case studies: the success of El Hierro hydrowind power plant implementation in Canary Islands and the failure of the Sivens dam project in the south of France. Their comparison shows that implication of stakeholders at all stages of the development process is crucial for the success of the project. We further propose to implement the conceptual framework as a software tool for the monitoring of land settlement project in real time, with the help of artificial intelligence concepts. However, this proposition was deemed not in line with Valorem’s priorities and we decided to focus on a technical instantiation of the framework for Hybride Renewable Energy Systems (HRES), which design and operation are part of VALOREM’s activity. As, the energy transition implies to change the electrical system model from a centralized to a decentralized one, there exists a need for a grassroots sizing tool for identifying new HRES opportunities. A software prototype for the grassroot optimal design of HRES was developed, offering flexibility in terms of modelling, setting constraints and defining objective functions. It is coded in C++ and based on linear programming model. We showed its relevance on four HRES case studies: two related to electricity market and two for self-supply of energy (one isolated and the other grid-connected). The results show that battery costs are too high to be profitable in HRES and that grid-connected systems seems to be a good alternative. Finally, we carried out an environmental impact assessment of several sources of electricity production to find out which are the “cleaner” ones. The results show that biomass, wind turbines and ground PV are those that should be considered for a sustainable energy transition. In the conclusion, we step back to a more complex viewpoint and develop perspectives to model human interactions within territory development process
Kremer, François. "Amélioration de l’opérabilité des centrales électriques par l’intégration d’un système de stockage d’énergie". Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0051.
The storage of electrical energy is now booming as it seems to be one of the necessary conditions to support the development of intermittent renewable energies in electrical networks. It competes, among other things, with historical sources of flexibility such as pumping stations or gas-fired power plants. The work of this thesis consists in the hybridization of two sources, namely the storage of energy in electrical form (lithium-ion battery) and a combined cycle (gas-steam cogeneration plant), in order to improve the stability of the networks and the operability of the plant. The main objectives are to specify the system specifications (functions, storage technology, pre-sizing), to create a configurable lithium-ion battery model based on the manufacturer's data and to define the control strategy for the hybrid. The pre-sizing methodology draws on both the similar work done by Gauthier Delille and the experience of General Electric, a manufacturer of combined cycles, to guide these systems towards suitable solutions. During the detailed dimensioning phase, the work led to the creation of a "system-oriented" lithium-ion battery model that can be implemented in GE's real-time software. This model, validated by tests in the GREEN laboratory, achieves a correct accuracy of about 95% (on cell voltage and energy). Finally, the energy management of this hybrid system is achieved by integrating a new controller in the power plant that provides instructions to the storage systems by processing both the internal data of the power plant and the data measured at the storage terminals. The choice was oriented towards simple commands (droop, PI, etc.) coupled with a fuzzy logic algorithm. This was configured using genetic optimization on data from an existing power plant. Despite several encouraging contacts with potential customers who showed interest in such a system, no prototype could be built
Li, Peng. "Formalisme pour la supervision des systèmes hybrides multi-sources de générateurs d’énergie répartie : application à la gestion d’un micro réseau". Thesis, Ecole centrale de Lille, 2009. http://www.theses.fr/2009ECLI0006/document.
A microgrid is a promising future network architecture which is coupling the various generators and consumers in a distribution network. This hybrid multi-source system is composed of at least one conventional generation unit and possibly a storage unit and/or a production unit based on renewable energies. Using this structure allows an immediate minimization of the losses by the energy transport, a greater reliability of power delivery and an ability to provide a high power quality energy. In this paper, we study a microgrid based on the use of a micro gas turbine, a photovoltaic array and supercapacitors. All these sources are coupled to the microgrid by power electronic converters and are interconnected to a microgrid central controller. Some local controllers and the microgrid central controller are used for the studied microgrid to achieve its operation optimization. Therefore, the first part of this thesis is devoted to establish a formalism method for a systematic design of local controllers. The second part of this thesis is devoted to the management of all these production and storage units, in order to optimize the microgrid operating. Simulation and testing results validate our design of the microgrid controllers
Gaoua, Yacine. "Modèles mathématiques et techniques d’optimisation non linéaire et combinatoire pour la gestion d’énergie d’un système multi-source : vers une implantation temps-réel pour différentes structures électriques de véhicules hybrides". Thesis, Toulouse, INPT, 2014. http://www.theses.fr/2014INPT0124/document.
Managing the distribution of electrical energy in a multi-source system (hybrid electric vehicle) is paramount. It increases the system performance by minimizing the fuel used by the primary source, while respecting demand, the differents operating constraints of the energy chain and system security. In this thesis, where the mission profile is known, a combinatorial approach is proposed by modeling the problem of energy management as an optimization problem with constraint satisfaction. The problem is solved using an exact method from operations research, leading to optimal solutions with reduced computation time in comparison with those obtained by applying dynamic programming or optimal control strategies. To test the perturbation sensitivity, robustness study is conducted, based on the analysis of the worst-case solution of the worst scenario, which can be achieved on the vehicle mission profile. In practical cases, the vehicle demand is unknown, and we have only the information about the instantaneous demand, which depends on driving style of the driver. In order to manage on line the energy of the vehicle, an on-line algorithm, based on a fuzzy approach is developed. To measure the quality of the fuzzy solution obtained, a performance study is carried out (finding the optimum solution), using an off-line optimization under reference mission profiles, based on non-linear modeling of the power management problem. The results were used to validate the quality of the resulting fuzzy solution
Herrera, Santisbon Eunice. "Production-consumption system coordination by hybrid predictive approaches : application to a solar cooling system for buildings". Thesis, CentraleSupélec, 2015. http://www.theses.fr/2015SUPL0006/document.
To guarantee thermal comfort in buildings is directly related to energy consumption. In tropical climates, cooling systems for buildings represent one of the largest energy consumers. Therefore, as energy consumption is a major concern around the world, it is important to improve the systems efficiency or seeking new methods of cooling production. A solar cooling installation based on the absorption cycle is an alternative to mitigate greenhouse gas emissions and electricity consumption. In contrast to conventional vapor-compression based cooling systems, the absorption cooling production involves a complex system composed of several components as collector panel, storage tank, cooling tower and absorption chiller. Besides the sizing of the components, this complex system requires control actions to be efficient as a coordination between hot water storage, cooling water production and consumption is necessary. The aim of this research is to propose a management approach for a production-consumption energy system based on Model Predictive Control (MPC). The solar absorption cooling system is seen as part of this production-consumption energy system where the hot water storage system is the producer and the chiller-building system is one of the consumers. In order to provide modularity to the control structure, the coordination between the subsystems is achieved by using a partitioning approach where local predictive controllers are developed for each of the subsystems. The consumer controllers compute a set of energy demand profiles sent to the producer controller which selects the profile that better minimize the global optimization cost. In a first part, the proposed approach is tested on a simplified linear model composed of one producer and several consumers. In a second part, a more complex case is studied. A simplified model of an absorption cooling system is evaluated using the simulation tool TRNSYS. The producer model is no longer linear, instead it is described by a nonlinear hybrid model which increases the complexity of the optimization problem. The simulations results show that the suboptimality induced by the method is low and the control strategy fulfills the objectives and constraints while giving good performances
Holyk, Christophe. "Analyse électrothermique des faisceaux de câbles de puissance : une contribution à l’optimisation des systèmes de distribution d’énergie dans les véhicules routiers à propulsion électrique". Thesis, Valenciennes, 2014. http://www.theses.fr/2014VALE0033.
In the context of growing ecological concerns, the development of road transport vehicles moves itself toward the development of less polluting vehicles with electric drives such as Hybrid Electric Vehicles (HEVs) and full Electric Vehicles (EVs). With rising power requirements and reducing available space, thermal management is becoming an increasingly important concern during development of on-board vehicle components such as electric motor(s)/generator(s), power inverter(s), battery pack(s) and cable harnesses. Among them, the cable harness which is typically composed of electrical cables, connectors and power distribution boxes can only be designed properly after a detailed thermal, electrical, chemical and mechanical analysis.This thesis is written to contribute to the optimization of the electro-thermal design of cable harnesses through simulations and reduce the amount of experimental testing needed during their development. Theoretical models for the prediction of the electrical and thermal behavior of electric cables and cable harnesses are reviewed and adapted for automotive requirements. Validation is accomplished by comparing simulation results with Finite Element Analysis (FEA) and measurement data. A major part of this thesis addresses the thermal simulation of electrical cables of infinite length installed in air, taking into account the temperature dependencies of conductor resistances and non-linearity of the total heat transfer coefficient at the cable surface. The influence of shielding currents and arbitrary current loads in the conductors on the temperature rises within electric cables is also considered using thermal ladder networks and illustrated by practical examples. Because shielding currents in vehicles are not only caused by induced currents but also by functional electrical currents generated by low-voltage power sources, new theoretical studies and experimental observations for the estimation of these currents as a function of the vehicle electrical architecture and circuit characteristics are presented. A primary finding reveals that keeping the resistance of grounding connections low compared to that of the shielding connections is an appropriate but expensive means for limiting the transfer of functional currents in the shielding circuits. Finally, a complete and modular model for the prediction of transient temperatures along the length of cable harness sections is developed and validated based on the outcomes of all previous findings
Abreu, De Oliveira Amanda. "Commande prédictive hiérarchisée hybride pour la gestion de l’énergie dans les bâtiments". Thesis, CentraleSupélec, 2019. http://www.theses.fr/2019CSUP0004.
Intelligent management strategies to optimize building energy consumption are considerably gaining attention due to the current climate challenges and the technological evolution of the automation solutions. To tackle the new energy efficiency standards, building energy management systems must be able to control energy consuming devices in order to minimize the costs and optimize the comfort of occupants. In this thesis, we study hybrid multitime scale model predictive control strategies to tackle building energy management problems. We proposed a two-layer hierarchical controller to jointly control the energy consumption and power demand of the system. The upper level implements a long term economic optimization that takes into account the energy price and the requirements of the occupants. The lower layer ensures the tracking of the optimal scheduling plan computed by the upper layer with a shorter prediction horizon and a higher sampling rate. Two topics related to the operation of multi-scale controllers are considered. The first is the interaction between the levels of optimization and the consistency of the information exchanged. We investigate different strategies to project the results of the upper layer at the lower one and provide comparisons to highlight its impact on the closed-loop behavior. The second is the management of On/Off loads in the multi-time scale framework. A geometric analysis of the decision space of the long-term optimization problem is performed to study the consequences of adding binary constraints to the problem. Then, we propose a reformulation strategy to improve the quality of the final control and limit the effort required to find the solution