The Experts below are selected from a list of 72 Experts worldwide ranked by ideXlab platform

Bilguun Sainbayar - One of the best experts on this subject based on the ideXlab platform.

  • operation analysis of fast charging stations with energy demand control of electric vehicles
    IEEE Transactions on Smart Grid, 2015
    Co-Authors: Bilguun Sainbayar
    Abstract:

    For dc fast charging stations (FCS), short charging time duration is its main advantage over other ac charging stations. However, due to the characteristics of internal resistance of electric vehicle (EV) batteries, if charging request of an EV is near the full state of charge (SoC), its charging time increases significantly. In this paper, considering the impact of requested SoC on charging time, we propose an operation analysis of FCS, where operators of FCS can set a limit on the EVs’ requested SoC to obtain maximized revenue. We model the FCS operation as an $M/G/S/K$ queue and incorporate the dc fast charging model into the queuing analysis, as well as the revenue model of FCS. Simulation results indicate that limiting the requested SoC in an overloaded condition at FCS can increase total charged energy and revenue of FCS, as well as decrease the Probability of Blocking arriving EVs.

A Pozzetti - One of the best experts on this subject based on the ideXlab platform.

  • balancing and sequencing manual mixed model assembly lines
    International Journal of Production Research, 1999
    Co-Authors: C Merengo, F Nava, A Pozzetti
    Abstract:

    This paper analyses some typical problems of manual, mixed-model assembly lines. In particular, it presents new balancing and production sequencing methodologies which pursue the following common goals: (1) minimizing the rate of incomplete jobs (in paced lines and in moving lines) or the Probability of Blocking/starvation events (in unpaced lines); (2) reducing WIP. The balancing methodology also aims at minimizing the number of stations on the line; the sequencing technique also provides a uniform parts usage, which is a typical goal in just in time production systems.

Miraoui Abdellatif - One of the best experts on this subject based on the ideXlab platform.

  • A review on Energy Management and System Operation of EV charging station
    HAL CCSD, 2017
    Co-Authors: Chrenko Daniela, Ravey Alexandre, Miraoui Abdellatif
    Abstract:

    International audienceAn EV charging station is nothing else than a DC or AC micro grid system. A hierarchical control system is usually used in a DC or AC micro grid, since it offers decoupled control objectives in each layer of micro grid systems. Based on the control objectives and time scale, the hierarchical system can be divided into three layers. The objective of the first layer is to realize the closed loop control of EV, ESS, and other components. The objective of the second layer is to select different operation modes, keep DC bus or AC bus stable, including DC voltage, AC voltage amplitude and frequency stabilization. The objective of the third layer is to optimize the energy allocation through forecasting the load and generation power for the maximum profits and efficiency. Most literatures focus on one or two layers of them. The presented article is a literature review on system architectures and control methodologies. In [Rivera, Sebastian, et al.], a novel architecture for plug-in electric vehicles (PEVs) dc charging station at the megawatt level is proposed, through the use of a grid-tied neutral point clamped (NPC) converter. The proposed bipolar dc structure reduces the step-down effort on the dc-dc fast chargers. This paper also proposes a balancing mechanism that allows handling any difference on the dc loads while keeping the midpoint voltage accurately regulated. By defining the unbalance operation limit, complementary balancing capability is provided with an additional NPC leg acting as a bidirectional dc-dc stage, keeping the control on the dc voltages under any load scenario. The solution enables fast charging for PEVs concentrating multi charging units into a central grid-tied converter. In [Liu, Baoquan, et al.], a dc micro-grid with hybrid energy storage and renewable energy is investigated. A novel system operation strategy and the corresponding energy management method is proposed to achieve high penetration depth of renewable sources into the utility grid. In the operation strategy, the ultra-capacitor unit works as the sole voltage source of the micro-grid to support the dc link in both connected and islanding mode. The micro-grid is controlled to deliver/absorb a predefined amount of power to/from the utility grid during connected mode and zero during islanding mode. This design simplifies the power dispatching algorithm and increase the possibility of assimilating large quantities of micro-grids into the utility grid. In [Fan, Pingyi, Bilguun Sainbayar, and Shaolei Ren], considering the impact of requested SoC on charging time, an operation analysis of fast charging station (FCS) is investigated, where operators of FCS can set a limit on the EVs’ requested SoC to obtain maximized revenue. Short charging time duration is FCS’s main advantage with regard to other ac charging stations. Due to the characteristics of internal resistance of EV batteries, the charging time increases significantly if charging request is near the full state of charge (SoC). The FCS operation is modeled with an M/G/S/K queue and the dc fast charging model is incorporated into the queuing analysis, as well as the revenue model of FCS. This method can increase total charged energy and revenue, and decrease the Probability of Blocking arriving EVs. In [Guo, Yi, et al.], a two-stage framework is proposed for the economic operation of a micro grid-like electric vehicle (EV) parking deck with on-site renewable energy generation (roof top photovoltaic panel). Although EV parking decks can enable greater adoption of renewable energy sources by scheduling charging loads to coincide with periods of strong sun, the inherent intermittency of renewable energy resources and variable EV parking behaviors complicates the economic operation. The first stage of this framework provides the parking deck operators with a stochastic approach for dealing with the uncertainty of solar energy so as to make an optimal price decision at the day-ahead time scale. The second stage introduces a model predictive control-based operation strategy of EV charging dealing with the uncertainty of parking behaviors within the real-time operation. The drawbacks and advantages of each paper will be analyzed in the future edition. And more papers will also be presented and classified into different categories according to their focal point, including system modeling, decentralized control technique, energy allocation methods, etc. An intensive literature review is the starting point of each scientific works. It provides background knowledge and reveals interesting topics to work on. The presented resume is a the starting point of a complete review on energy management and system architecture of EV charging stations and will be the baseline for the development of a novel energy management approach

Gómez Agredo, Gustavo Adolfo - One of the best experts on this subject based on the ideXlab platform.

  • Propuesta de un algoritmo para la asignación dinámica de espectro en redes ópticas elásticas (EON)
    2020
    Co-Authors: Ossa Hernández, Sebastián David, Vargas Gutiérrez, José Alejandro, Gómez Agredo, Gustavo Adolfo
    Abstract:

    This article deals with the development and implementation of a new proposal to perform dynamic spectrum allocation in an OPS Flex Grid network, using a voracious algorithm based on pendulum motion. This algorithm was implemented in a network with grids of eight and sixteen slots and was also compared with the LAUC-VF algorithm adapted to RSA networks, yielding satisfactory results related to the measurement parameters, such as the Probability of Blocking the network and the end-to-end delay. The development of this proposal provides a new alternative for the management of Elastic Optical Networks (EON) with fixed spectrum allocation over time.Este artículo trata sobre el desarrollo e implementación de una nueva propuesta para realizar la asignación dinámica de espectro en una red OPS FlexGrid, mediante un algoritmo voraz basado en el movimiento pendular. Este algoritmo fue implementado en una red con rejillas de ocho y dieciséis slots y también fue comparado con el algoritmo LAUC – VF adaptado a redes RSA, arrojando resultados satisfactorios relacionados con los parámetros de medición, tales como, la probabilidad de bloqueo de la red y el retardo de extremo a extremo. El desarrollo de esta propuesta proporciona una nueva alternativa para la gestión de las redes ópticas elásticas (EON) con asignación de espectro fija en el tiempo

  • Proposal of an algorithm for the dynamic spectrum allocation on elastic optical networks (EON)
    'Universidad Catolica Luis Amigo', 2020
    Co-Authors: Ossa Hernández, Sebastián David, Vargas Gutiérrez, José Alejandro, Gómez Agredo, Gustavo Adolfo
    Abstract:

    Este artículo trata sobre el desarrollo e implementación de una nueva propuesta para realizar la asignación dinámica de espectro en una red OPS FlexGrid, mediante un algoritmo voraz basado en el movimiento pendular. Este algoritmo fue implementado en una red con rejillas de ocho y dieciséis slots y también fue comparado con el algoritmo LAUC – VF adaptado a redes RSA, arrojando resultados satisfactorios relacionados con los parámetros de medición, tales como, la probabilidad de bloqueo de la red y el retardo de extremo a extremo. El desarrollo de esta propuesta proporciona una nueva alternativa para la gestión de las redes ópticas elásticas (EON) con asignación de espectro fija en el tiempo.This article deals with the development and implementation of a new proposal to perform dynamic spectrum allocation in an OPS Flex Grid network, using a voracious algorithm based on pendulum motion. This algorithm was implemented in a network with grids of eight and sixteen slots and was also compared with the LAUC-VF algorithm adapted to RSA networks, yielding satisfactory results related to the measurement parameters, such as the Probability of Blocking the network and the end-to-end delay. The development of this proposal provides a new alternative for the management of Elastic Optical Networks (EON) with fixed spectrum allocation over time

K.j. Ray Liu - One of the best experts on this subject based on the ideXlab platform.

  • Software radio architecture with smart antennas: a tutorial on algorithms and complexity
    IEEE Journal on Selected Areas in Communications, 1999
    Co-Authors: J. Razavilar, F. Rashid-farrokhi, K.j. Ray Liu
    Abstract:

    There has been considerable interest in using antenna arrays in wireless communication networks to increase the capacity and decrease the cochannel interference. Adaptive beamforming with smart antennas at the receiver increases the carrier-to-interference ratio (CIR) in a wireless link. This paper considers a wireless network with beamforming capabilities at the receiver which allows two or more transmitters to share the same channel to communicate with the base station. The concrete computational complexity and algorithm structure of a base station are considered in terms of a software radio system model, initially with an omnidirectional antenna. The software radio computational model is then expanded to characterize a network with smart antennas. The application of the software radio smart antenna is demonstrated through two examples. First, traffic improvement in a network with a smart antenna is considered, and the implementation of a hand-off algorithm in the software radio is presented. The Blocking probabilities of the calls and total carried traffic in the system under different traffic policies are derived. The analytical and numerical results show that adaptive beamforming at the receiver reduces the Probability of Blocking and forced termination of the calls and increases the total carried traffic in the system. Then, a joint beamforming and power control algorithm is implemented in a software radio smart antenna in a CDMA network. This shows that, by using smart antennas, each user can transmit with much lower power, and therefore the system capacity increases significantly.