4 research outputs found

    Control Strategies for Smart Charging and Discharging of Plug- In Electric Vehicles

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    This chapter aims to provide an overview of the plug-in electric vehicle (PEV) charging and discharging strategies in the electric power system and the smart cities, as well as an application benefiting both consumers and power utility. The electric vehicle technology will be introduced. Then, the main impacts, benefits and challenges related to this technology will be discussed. Following, the role of the vehicles in smart cities will be presented. Next, the major methods and strategies for charging and discharging of plug-in electric vehicles available in the literature will be described. Finally, a new strategy for the intelligent charging and discharging of electric vehicles will be presented, which aims to benefit the consumer and the power utility

    Impact of Grid Unbalances on Electric Vehicle Chargers

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    There is a global trend to reduce emissions from cars through the adoption of other alternatives, such as electric vehicles (EVs). The increasing popularity of EVs has led to a growing demand for electric vehicle chargers. EV chargers are essential for charging the batteries of EVs. Since the EV charger stays connected to the grid for long periods of time to charge the EV battery, it must be able to handle disturbances in the power grid. The goal of this paper is to present an overview of the impact of grid events on EV battery chargers. As well as the impact of grid unbalances on EV chargers, this paper also provides an overview of the impact of grid faults on other, similar power electronics interfaced resources such as PV and energy storage systems

    Active congestion quantification and reliability improvement considering aging failure in modern distribution networks

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    The enormous concerns of climate change and traditional resource crises lead to the increased use of distributed generations (DGs) and electric vehicles (EVs) in distribution networks. This leads to significant challenges in maintaining safe and reliable network operations due to the complexity and uncertainties in active distribution networks, e.g., congestion and reliability problems. Effective congestion management (CM) policies require appropriate indices to quantify the seriousness and customer contributions to congested areas. Developing an accurate model to identify the residual life of aged equipment is also essential in long-term CM procedures. The assessment of network reliability and equipment end-of-life failure also plays a critical role in network planning and regulation. The main contributions of this thesis include a) outlining the specific characteristics of congestion events and introducing the typical metrics to assess the effectiveness of CM approaches; b) proposing spatial, temporal and aggregate indices for rapidly recognizing the seriousness of congestion in terms of thermal and voltage violations, and proposing indices for quantifying the customer contributions to congested areas; c) proposing an improved method to estimate the end-of-life failure probabilities of transformers and cables lines taking real-time relative aging speed and loss-of-life into consideration; d) quantifying the impact of different levels of EV penetration on the network reliability considering end-of-life failure on equipment and post-fault network reconfiguration; and e) proposing an EV smart charging optimization model to improve network reliability and reduce the cost of customers and power utilities. Simulation results illustrate the feasibility of the proposed indices in rapidly recognizing the congestion level, geographic location, and customer contributions in balanced and unbalanced systems. Voltage congestion can be significantly relieved by network reconfiguration and the utilization of the proposed indices by utility operators in CM procedures is also explained. The numerical studies also verify that the improved Arrhenius-Weibull can better indicate the aging process and demonstrate the superior accuracy of the proposed method in identifying residual lives and end-of-life failure probabilities of transformers and conductors. The integration of EV has a great impact on equipment aging failure probability and loss-of-life, thus resulting in lower network reliability and higher cost for managing aging failure. Finally, the proposed piecewise linear optimization model of the EV smart charging framework can significantly improve network reliability by 90% and reduce the total cost by 83.8% for customers and power utilities

    Determinism Enhancement and Reliability Assessment in Safety Critical AFDX Networks

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    RÉSUMÉ AFDX est une technologie basée sur Ethernet, qui a été développée pour répondre aux défis qui découlent du nombre croissant d’applications qui transmettent des données de criticité variable dans les systèmes modernes d’avionique modulaire intégrée (Integrated Modular Avionics). Cette technologie de sécurité critique a été notamment normalisée dans la partie 7 de la norme ARINC 664, dont le but est de définir un réseau déterministe fournissant des garanties de performance prévisibles. En particulier, AFDX est composé de deux réseaux redondants, qui fournissent la haute fiabilité requise pour assurer son déterminisme. Le déterminisme de AFDX est principalement réalisé par le concept de liens virtuels (Virtual Links), qui définit une connexion unidirectionnelle logique entre les points terminaux (End Systems). Pour les liens virtuels, les limites supérieures des délais de bout en bout peuvent être obtenues en utilisant des approches comme calcul réseau, mieux connu sous l’appellation Network Calculus. Cependant, il a été prouvé que ces limites supérieures sont pessimistes dans de nombreux cas, ce qui peut conduire à une utilisation inefficace des ressources et augmenter la complexité de la conception du réseau. En outre, en raison de l’asynchronisme de leur fonctionnement, il existe plusieurs sources de non-déterminisme dans les réseaux AFDX. Ceci introduit un problème en lien avec la détection des défauts en temps réel. En outre, même si un mécanisme de gestion de la redondance est utilisé pour améliorer la fiabilité des réseaux AFDX, il y a un risque potentiel souligné dans la partie 7 de la norme ARINC 664. La situation citée peut causer une panne en dépit des transmissions redondantes dans certains cas particuliers. Par conséquent, l’objectif de cette thèse est d’améliorer la performance et la fiabilité des réseaux AFDX. Tout d’abord, un mécanisme fondé sur l’insertion de trames est proposé pour renforcer le déterminisme de l’arrivée des trames au sein des réseaux AFDX. Parce que la charge du réseau et la bande passante moyenne utilisée augmente due à l’insertion de trames, une stratégie d’agrégation des Sub-Virtual Links est introduite et formulée comme un problème d’optimisation multi-objectif. En outre, trois algorithmes ont été développés pour résoudre le problème d’optimisation multi-objectif correspondant. Ensuite, une approche est introduite pour incorporer l’analyse de la performance dans l’évaluation de la fiabilité en considérant les violations des délais comme des pannes.----------ABSTRACT AFDX is an Ethernet-based technology that has been developed to meet the challenges due to the growing number of data-intensive applications in modern Integrated Modular Avionics systems. This safety critical technology has been standardized in ARINC 664 Part 7, whose purpose is to define a deterministic network by providing predictable performance guarantees. In particular, AFDX is composed of two redundant networks, which provide the determinism required to obtain the desired high reliability. The determinism of AFDX is mainly achieved by the concept of Virtual Link, which defines a logical unidirectional connection from one source End System to one or more destination End Systems. For Virtual Links, the end-to-end delay upper bounds can be obtained by using the Network Calculus. However, it has been proved that such upper bounds are pessimistic in many cases, which may lead to an inefficient use of resources and aggravate network design complexity. Besides, due to asynchronism, there exists a source of non-determinism in AFDX networks, namely frame arrival uncertainty in a destination End System. This issue introduces a problem in terms of real-time fault detection. Furthermore, although a redundancy management mechanism is employed to enhance the reliability of AFDX networks, there still exist potential risks as pointed out in ARINC 664 Part 7, which may fail redundant transmissions in some special cases. Therefore, the purpose of this thesis is to improve the performance and the reliability of AFDX networks. First, a mechanism based on frame insertion is proposed to enhance the determinism of frame arrival within AFDX networks. As the network load and the average bandwidth used by a Virtual Link increase due to frame insertion, a Sub-Virtual Link aggregation strategy, formulated as a multi-objective optimization problem, is introduced. In addition, three algorithms have been developed to solve the corresponding multi-objective optimization problem. Next, an approach is introduced to incorporate performance analysis into reliability assessment by considering delay violations as failures. This allowed deriving tighter probabilistic upper bounds for Virtual Links that could be applied in AFDX network certification. In order to conduct the necessary reliability analysis, the well-known Fault-Tree Analysis technique is employed and Stochastic Network Calculus is applied to compute the upper bounds with various probability limits
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