Dissertations / Theses on the topic 'Planification des stockages'
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Gauché, Adrien. "Stratégies d'optimisation à l'aide d'un contrôle par commande prédictive de microréseaux avec stockage d'énergie hybride batteries/hydrogène." Electronic Thesis or Diss., Ecole centrale de Nantes, 2024. http://www.theses.fr/2024ECDN0005.
This thesis proposes to improve the predictive control of microgrids with renewable generation and hybrid battery-hydrogenstorage. The aim is to find a storage scheduling solution applicable to all PowiDian stations, overcoming the limitations of the current optimizer. The first contribution is a generic formulation of microgrids with storage. Next, black-box optimisers are integrated and compared in the Energy Management System (EMS) to plan the power of the electrolyser and the fuel cell over a one-day horizon. The formulation and its various optimisers are evaluated with real data over a full year. The second contribution shows that the choice of the best optimizer is based on the computational load, since the relevance of the control and the evaluated cost of the objective function are similar whatever the optimizer. Finally, the thesis proposes a linear integer formulation of Unit Commitment from large power systems adapted to hydrogen storage, with the objective of guaranteeing optimality, reducing computational complexity and integrating classical methods (uncertainty management, operating time, etc.)
Hadj, said Ahmed. "Intégration du stockage dans les méthodes de planification des réseaux électriques basse tension." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAT004/document.
The opening up of energy markets and new uses have led to significant changes in distribution grids, in particular low-voltage grids. Notably, it has led to an augmentation in the integration of renewable energy production, an increase in the peak consumption, among others. This is accompanied by the appearance of the electrical constraints with which power systems must cope. This has resulted in the development multiple flexibility capabilities such as load/source management or energy storage, providing new solutions, now to be considered in planning methods. This thesis studies the issue of energy storage in the low-voltage grid planning. The first part of this thesis studies the impact of storage and photovoltaic production on variables involved in distribution grid planning. In the second part, a method for calculating the cost of losses is adapted to the presence of energy storage and/or PV production. Finally, advanced d operation algorithms are developed to illustrate the economic value of energy storage in LV distribution grid planning, compared to a more expensive conventional planning method
Ghorbel, Asma. "Limites Fondamentales De Stockage Dans Les Réseaux Sans Fil." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLC031/document.
Caching, i.e. storing popular contents at caches available at end users, has received a significant interest as a technique to reduce the peak traffic in wireless networks. In particular, coded caching proposed by Maddah-Ali and Niesen has been considered as a promising approach to achieve a constant delivery time as the dimension grows. However, several limitations prevent its applications in practical wireless systems. Throughout the thesis, we address the limitations of classical coded caching in various wireless channels. Then, we propose novel delivery schemes that exploit opportunistically the underlying wireless channels while preserving partly the promising gain of coded caching. In the first part of the thesis, we study the achievable rate region of the erasure broadcast channel with cache and state feedback. We propose an achievable schemeand prove its optimality for special cases of interest. These results are generalized to the multi-antenna broadcast channel with state feedback. In the second part, we study the content delivery over asymmetric block-fading broadcast channels, where the channel quality varies across users and time. Assuming that user requests arrive dynamically, we design an online scheme based on queuing structure and prove that it maximizes the alpha-fair utility among all schemes restricted to decentralized placement. In the last part, we study opportunistic scheduling over the asymmetric fading broadcast channel and aim to design a scalable delivery scheme while ensuring fairness among users. We propose a simple threshold-based scheduling policy of linear complexity that requires only a one-bit feedback from each user
Hannachi, Mourad. "La coopétition au service du bien commun : les stratégies des entreprises de collecte et de stockage de céréales face aux OGM." Versailles-St Quentin en Yvelines, 2011. http://www.theses.fr/2011VERS005S.
This thesis has studied how firms organize themselves to manage collectively the presence or the absence of GMO’s from their territory. Based on several case studies, this research shows that grain merchants were able to federate, coordinate or influence all the stakeholders to control their agricultural lands. Our results indicate that it goes through cooperation relationships between rival operators among coopetition strategies. This thesis reveals the existence of three generic forms of coopetition : 1) The first is characterized by a mechanism of coordination based on direct and informal relationships through tacit conventions and a strong embednesses of the relationship. 2) The second is characterized by formal (contract, charter. . . ) and indirect relationships which need the involvement of a third party in the mechanism of coordination. 3) The third type is characterized by the setting up of a «mediation arena» which allows for the construction of the collective actions. This study shows that various organizational configurations have emerged and have succeeded in generating the coordination and the involvement of the stakeholders in order to manage the agricultural landscape. The context of the management of GMO’s at the French agricultural lands shows that the territory may become a common good. In this context, it must be managed as a collective good that any player constructs and maintains collectively
Rigo-Mariani, Remy. "Méthodes de conception intégrée "dimensionnement-gestion" par optimisation d'un micro-réseau avec stockage." Thesis, Toulouse, INPT, 2014. http://www.theses.fr/2014INPT0140/document.
To face the increasing demand of electrical power in compliance with the liberalization of the electricity market and the need of reducing CO2 emissions, many distributed energy resources have emerged and especially the generation systems that utilize renewable energy sources. In the nearfuture, the grid could be described as an aggregation of several microgrids both consumer and producer. For those "prosumers", a classical strategy consists in selling all the highly subsidized production at important prices while all consumed energy is purchased. Smarter operations now become possible with developments of energy storage technologies and evolving prices policies. The microgrid considered in the thesis is composed of an industrial load and a photovoltaic generator associated to an energy storage. Two technologies are considered with high speed flywheels on one hand and a Li-ion electrochemical battery on the other. The common study referring to such systems allude to the optimal scheduling, the real-time management and the sizing methodology. Firstly in the thesis, the optimal power flow dispatching is performed using various algorithms. Those operations aim at reducing the electrical bill taking account of consumption and production forecasts as well as the different fares and possible constraints imposed by the power supplier. Then the design strategy is investigated. The approach consists in simultaneously integrating the energy management and the sizing of the system. We particularly underline the complexity of the resulting optimization problem and how it can be solved using suitable optimization methods in compliance with relevant models of the microgrid. We specifically show the reduction of the computational time allowing the microgrid simulation over long time durations in the optimization process in order to take seasonal variations into account. In the last part a cost analysis is performed, and different design are computed depending on the prices policies. The goal is to determine a financial context that would encourage the deployment of storage systems that are necessary to favor the development of intermittent renewable energy sources
Jaiman, Vikas. "Amélioration de la prédictibilité des performances pour les environnements de stockage de données dans les nuages." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAM016/document.
Today, users of interactive services such as e-commerce, web search have increasingly high expectations on the performance and responsiveness of these services. Indeed, studies have shown that a slow service (even for short periods of time) directly impacts the revenue. Enforcing predictable performance has thus been a priority of major service providers in the last decade. But avoiding latency variability in distributed storage systems is challenging since end user requests go through hundreds of servers and performance hiccups at any of these servers may inflate the observed latency. Even in well-provisioned systems, factors such as the contention on shared resources or the unbalanced load between servers affect the latencies of requests and in particular the tail (95th and 99th percentile) of their distribution.The goal of this thesis to develop mechanisms for reducing latencies and achieve performance predictability in cloud data stores. One effective countermeasure for reducing tail latency in cloud data stores is to provide efficient replica selection algorithms. In replica selection, a request attempting to access a given piece of data (also called value) identified by a unique key is directed to the presumably best replica. However, under heterogeneous workloads, these algorithms lead to increased latencies for requests with a short execution time that get scheduled behind requests with large execution times. We propose Héron, a replica selection algorithm that supports workloads of heterogeneous request execution times. We evaluate Héron in a cluster of machines using a synthetic dataset inspired from the Facebook dataset as well as two real datasets from Flickr and WikiMedia. Our results show that Héron outperforms state-of-the-art algorithms by reducing both median and tail latency by up to 41%.In the second contribution of the thesis, we focus on multiget workloads to reduce the latency in cloud data stores. The challenge is to estimate the bottleneck operations and schedule them on uncoordinated backend servers with minimal overhead. To reach this objective, we present TailX, a task aware multiget scheduling algorithm that reduces tail latencies under heterogeneous workloads. We implement TailX in Cassandra, a widely used key-value store. The result is an improved overall performance of the cloud data stores for a wide variety of heterogeneous workloads
Wen, Xin. "Optimisation stochastique pour la planification de la production d’électricité dans une communauté énergétique locale en situation d'incertitude liée aux énergies renouvelables." Thesis, Centrale Lille Institut, 2020. http://www.theses.fr/2020CLIL0017.
In electrical systems, the unit commitment (UC) and power scheduling plans the operating of generating units over a short-term planning horizon in order to satisfy the load demand under system operating constraints. Nowadays, energy communities have emerged with individual community energy requirements and increasing capacity deployment of distributed energy resources. The high penetration of renewable energy sources (RES) increases power system uncertainty while the load demand is growing. Hence, traditional deterministic approaches for UC should evolve to stochastic optimization. The main goal of this thesis is to propose probability-based and stochastic optimization methodology for optimal generation and operating reserve (OR) scheduling decisions in an urban microgrid with the wish to address the minimization of operating costs and emissions. Power supply and reserve provision must take into account the uncertainty due to RES and the load demand forecasting errors, while considering the trade-off between security and economic operation. Finally, a user-friendly Supervisory Control And Data Acquisition (SCADA) system is developed with the Matlab GUI to integrate and visualize the energy management operation
Yan, Xingyu. "Gestion énergétique sous incertitude : Application à la planification et à l'allocation de réserve dans un micro réseau électrique urbain comportant des générateurs photovoltaïques actifs et du stockage." Thesis, Ecole centrale de Lille, 2017. http://www.theses.fr/2017ECLI0005/document.
The massive development of intermittent renewable energy technologies in power systems affects the operation of electrical systems. Due to technical limitations and investments needed to maintain the current electrical security level, issues related to dispatching, static and dynamic stability could stop the development of these distributed renewable energy sources (RES). The subject of the PhD is to develop a tool to study the uncertainties of PV power and load forecasting in an urban network. Firstly, the uncertainties are modeled by studying the uncertainty nature of PV power and load. With stochastic methods, the day-ahead operating reserve (OR) is quantified by taking into account an associated reliability risk index. Then the OR is dispatched into different power generators (active PV generators and micro gas turbines). To minimize the microgrid total operational cost and/or equivalent CO2 emissions, day-ahead optimal operational planning and dispatching of the OR into different power generators is implemented. Finally, a freeware “A User-friendly Energy Management System and Operational Planning Supervisor” is developed based on the Matlab GUI to conceptualize the overall system operation
Vai, Vannak. "Planning of low voltage distribution system with integration of PV sources and storage means : case of power system of Cambodia." Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAT044/document.
The energy consumption is increasing year by year due to the growth of population and the economic conditions. In order to meet the need of population and society to use electricity, the Cambodian government has established the policy to promote and encourage the development of electrification; all the villages will have electricity by the year 2020, and at least 70% of households will have access to grid quality by the year 2030. To achieve these goals, the study and development of methodology on the Low-Voltage (LV) distribution system are investigated. This thesis studies the planning of LV distribution system with integration of Photovoltaic (PV) and Battery Energy Storage (BES). The first part is developed the long-term planning method to tackle the challenge of load demand uncertainty in urban area; the novel algorithm was developed to search for the optimal architecture of minimizing the capital expenditure (CAPEX) and the operation expenditure (OPEX) which respects to the set of topology and electrical (current and voltage) thank to mixed integer quadratically constrained programming (MIQCP), shortest-path, first-fit bin-packing, and Monte-Carlo method. The second part is dealt with the extension of electricity coverage area with two possible solutions which are grid reinforcement and integration of PV-BES for rural village; the Genetic algorithm (GA) and iterative technique were coded to search for location and sizing. The last part is concentrated on the planning of residential low-voltage distribution system in both rural and urban for non-electrified area thanks to the optimal architecture and PV-BES integration over the planning horizon
Marguerite, Charlotte. "Modèles intégrés pour l'évaluation des actions territoriales de réduction des émissions de gaz à effet de serre. Application aux réseaux de chaleur : Application aux réseaux de chaleur : HeatGrid, un modèle de simulation énergétique pour un management stratégique." Phd thesis, Ecole des Mines de Nantes, 2014. http://tel.archives-ouvertes.fr/tel-01019088.
Delsart, Virginie. "Le développement contemporain de la flexibilité du travail et de l'emploi : une interprétation analytique d'une énigme historique." Lille 1, 2004. https://ori-nuxeo.univ-lille1.fr/nuxeo/site/esupversions/b617e299-1742-4b92-a801-ffa5b20f33fd.
Sakho, Mamadou A. "Incidence de l'instabilité des ressources en eau de surface sur les performances simulées d'un système d'eau : exemple du Sassandra en Côte-d'Ivoire." Montpellier 2, 1991. http://www.theses.fr/1991MON20262.
Benrqya, Yassine. "Product segmentation and distribution strategy selection : an application in the Retail Supply Chain." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0114/document.
Nowadays companies must look to develop new distribution strategies in order to achieve the required performance from their supply chain. In this quest, companies wonder about the consistency of their distribution strategies with the products they are selling. Several types of distribution strategies exist in the retail supply chain. These strategies are chosen based on the products characteristics, and/or the impact on the supply chain performances. In this research, we study the impact of three distribution strategies, namely: traditional warehousing, cross-docking pick by line and cross-docking pick by store, on three supply chain performances, namely: service level, cost and bullwhip effect. In addition, we analyse the impact of the products characteristics on the performances of the distribution strategies and propose a framework for choosing the right strategy for each product. The supply chain studied is composed of three echelons: Supplier Distribution Centre, Retailer Distribution Centre and Stores. Based a real business case, we perform a process modelling, that allows us to develop a deterministic Macro cost model and a simulation model. The macro cost model allows to evaluate the impact of the distribution strategies on the supply chain cost performance. After the macro cost analysis, we develop a simulation model where we integrate the data related to the products (demand, volume, ordering quantities etc.) in the model. This model allows a more dynamic simulation of the system in a large time period and determines the right strategy to select for each product depending on its characteristics and the impact on the performances. At the end of this research, we present a framework for product segmentation and distribution strategy selection
Chekoubi, Zakaria. "Problème intégré de dimensionnement de lots et de tournées de véhicules avec remanufacturing des produits en fin de vie." Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0209.
In a traditional supply chain, production, inventory and distribution operations are treated separately due to the complexity of jointly planning these operations and the lack of information shared among stakeholders. Today, in order to face the fierce competition in the global market, companies are forced to jointly plan these activities in order to benefit from the economic and environmental benefits generated by this integration. Among the optimization problems existing in the literature, the integrated planning problem which jointly optimizes production, inventory management, distribution and vehicle routes decisions, has recently received considerable attention, despite its NP-hardiness. Indeed, its benefits in terms of synchronization between processes, cost reduction and improved service level can be significant. In addition, the optimization of this problem in the context of closed-loop supply chains with End-of-Life Product (EOL) management leads to the development of increasingly sustainable supply chains. Furthermore, growing concerns about environmental issues linked to industrial activities have led to the emergence of policies to control carbon emissions. Taking these regulations into account can have a positive impact on the company's environmental responsibility. To meet these challenges, the objective of this thesis is to design models and develop optimization approaches to solve an integrated planning problem of production, remanufacturing, storage and direct-reverse distribution operations. We considered a closed-loop supply chain consisting of a production line for new products, a remanufacturing line for returned EOL products, two types of inventories for reusable products and EOL ones to be remanufactured, as well as customers with dynamic demands for delivery and pickups. The goal is to determine the optimal amounts to produce, remanufacture and store, as well as the order of visiting customers in order to meet their requests simultaneously for delivery and pickup, while minimizing the total cost due to the involved operations. First, a linear integer model is proposed to optimize the supply chain system by considering one or more vehicles with limited capacity. The second part of the thesis concerns the development of a two-phase decomposition heuristic to solve the extended integrated model. The last part of the thesis is devoted to the integration of carbon dioxide emissions into production, remanufacturing, inventory and distribution decisions and to study the behavior of carbon emission levels in the context of cap-and-trade policy. Numerical experiments make it possible to demonstrate the applicability and the limits of our approaches
Vacher, Blandine. "Techniques d'optimisation appliquées au pilotage de la solution GTP X-PTS pour la préparation de commandes intégrant un ASRS." Thesis, Compiègne, 2020. http://www.theses.fr/2020COMP2566.
The work presented in this PhD thesis deals with optimization problems in the context of internal warehouse logistics. The field is subject to strong competition and extensive growth, driven by the growing needs of the market and favored by automation. SAVOYE builds warehouse storage handling equipment and offers its own GTP (Goods-To-Person) solution for order picking. The solution uses an Automated Storage and Retrieval System (ASRS) called X-Picking Tray System (X-PTS) and automatically routes loads to workstations via carousels to perform sequenced operations. It is a highly complex system of systems with many applications for operational research techniques. All this defines the applicative and theoretical scope of the work carried out in this thesis. In this thesis, we have first dealt with a specific scheduling Job Shop problem with precedence constraints. The particular context of this problem allowed us to solve it in polynomial time with exact algorithms. These algorithms made it possible to calculate the injection schedule of the loads coming from the different storage output streams to aggregate on a carousel in a given order. Thus, the inter-aisle management of the X-PTS storage was improved and the throughput of the load flow was maximized, from the storage to a station. In the sequel of this work, the radix sort LSD (Least Significant Digit) algorithm was studied and a dedicated online sorting algorithm was developed. The second one is used to drive autonomous sorting systems called Buffers Sequencers (BS), which are placed upstream of each workstation in the GTP solution. Finally, a sequencing problem was considered, consisting of finding a linear extension of a partial order minimizing a distance with a given order. An integer linear programming approach, different variants of dynamic programming and greedy algorithms were proposed to solve it. An efficient heuristic was developed based on iterative calls of dynamic programming routines, allowing to reach a solution close or equal to the optimum in a very short time. The application of this problem to the unordered output streams of X-PTS storage allows pre-sorting at the carousel level. The various solutions developed have been validated by simulation and some have been patented and/or already implemented in warehouses