The Experts below are selected from a list of 127197 Experts worldwide ranked by ideXlab platform

Yungruei Chang - One of the best experts on this subject based on the ideXlab platform.

  • intelligent optimal Energy Management System for hybrid power sources including fuel cell and battery
    IEEE Transactions on Power Electronics, 2013
    Co-Authors: Shihjie Jhung, Junjie Liaw, Yungruei Chang
    Abstract:

    In this study, an intelligent optimal Energy Management System is designed for hybrid power sources including a fuel cell (FC) System and a battery module. In the proposed intelligent optimal Energy Management System, a simple fan temperature control is introduced to reduce the possible Energy waste during the startup of the FC System. Moreover, a fuzzy hydrogen control is designed to manipulate the FC System stably and generate the same unit power with less hydrogen. In addition, a stable adaptive current-voltage fast-charging control is investigated to improve the charge speed in conventional constant current/constant voltage (CC/CV) scheme with proportional-integral control. The objectives of fast charging, Energy saving, power source protection, and System stability assurance can be simultaneously achieved. Furthermore, the effectiveness of the proposed intelligent optimal Energy Management System is verified by experimental results. Its merits are indicated by comparing a conventional Management System without the fan temperature control and with a fixed hydrogen pressure and a CC/CV charging framework.

Seddik Bacha - One of the best experts on this subject based on the ideXlab platform.

  • MPC Energy Management System For A Grid-Connected Renewable Energy/Battery Hybrid Power Plant
    2018
    Co-Authors: Adriana Aguilera Gonzalez, Ionel Vechiu, Ruben Lopez Rodriguez, Seddik Bacha
    Abstract:

    In this paper, an Energy Management System (EMS) based on model predictive control (MPC) and quadratic programming (QP) is presented. The control strategy manages the power performance of an island grid-connected hybrid plant combining a wind Energy conversion System (WECS) and a Li-ION battery Energy storage System (BESS). The hybrid plant should inject power into the grid continuously, subject to a commitment band previously fixed. For this, the proposed EMS handles the battery's charge/discharge cycles and state-of-charge (SoC) efficiently, to maintain the generation engagements while considering the BESS lifespan. The Energy Management System is tested via Matlab/Simulink software by using real wind data.

  • mpc Energy Management System for a grid connected renewable Energy battery hybrid power plant
    IEEE International Conference on Renewable Energy Research and Applications, 2018
    Co-Authors: A Aguileragonzalez, Ionel Vechiu, Ruben L Rodriguez, Seddik Bacha
    Abstract:

    In this paper, an Energy Management System (EMS) based on model predictive control (MPC) and quadratic programming (QP) is presented. The control strategy manages the power performance of an island grid-connected hybrid plant composed by a wind Energy conversion System (WECS) and a LiION battery Energy storage System (BESS). The hybrid plant should inject power into the grid continuously, subject to a commitment band previously fixed. For this, the proposed EMS handles efficiently the battery’s charge/discharge cycles and state-of-charge (SoC) to meet the generation commitments while considering the BESS lifespan. The Energy Management System is tested via Matlab/Simulink software by using real wind data.

  • PV integration by building Energy Management System
    International Conference on Power Engineering Energy and Electrical Drives, 2011
    Co-Authors: Rim Missaoui, Ghaith Warkozek, Seddik Bacha, Stéphane Ploix
    Abstract:

    This paper focuses on Energy Management System (EMS) applied to the residential sector. The EMS architecture is proposed. It is composed on three layers: anticipation, reactive and device (local) layers. However, to validate global control algorithms, a simulator capable of interoperating with Energy Management Systems must be used. This work presents a solution for real-time simulation with a networked System that manages Energy flows. It makes it possible to perform fine simulations of the physics, including fast dynamics of electrical appliances imbedded on the buildings. This paper deals with computing the starting times of some services in one hand and in determining set points of others on other hand; the maximal power constraints and predicted events are taken into account. A Satisfaction Problem formulation has been proposed. So, the purpose is to maximize user comfort and minimize Energy costs. An application example is presented.

Antonello Monti - One of the best experts on this subject based on the ideXlab platform.

  • railway Energy Management System centralized decentralized automation architecture
    IEEE Transactions on Smart Grid, 2016
    Co-Authors: Sara Khayyam, Ferdinanda Ponci, Javier Goikoetxea, Valerio Recagno, Valeria Bagliano, Antonello Monti
    Abstract:

    The modern railway System is a massive grid connected complex System with distributed active loads (trains), sources (particularly distributed renewable sources), and storage (wayside or on-board storage Systems). Its Energy Management therefore requires the concepts and techniques used for managing Energy in the smart grid (SG). Accordingly, the new railway Energy Management System (REM-S) is developed to integrate on-board, wayside, and coordination services. REM-S is driven by the idea that regeneration, loads, storage, and volatile distributed Energy resources should be coordinated dynamically to achieve optimal Energy usage. This paper presents the proposed REM-S architecture, which is based on a hybrid centralized–decentralized concept and developed according to SG architecture model framework.

Shihjie Jhung - One of the best experts on this subject based on the ideXlab platform.

  • intelligent optimal Energy Management System for hybrid power sources including fuel cell and battery
    IEEE Transactions on Power Electronics, 2013
    Co-Authors: Shihjie Jhung, Junjie Liaw, Yungruei Chang
    Abstract:

    In this study, an intelligent optimal Energy Management System is designed for hybrid power sources including a fuel cell (FC) System and a battery module. In the proposed intelligent optimal Energy Management System, a simple fan temperature control is introduced to reduce the possible Energy waste during the startup of the FC System. Moreover, a fuzzy hydrogen control is designed to manipulate the FC System stably and generate the same unit power with less hydrogen. In addition, a stable adaptive current-voltage fast-charging control is investigated to improve the charge speed in conventional constant current/constant voltage (CC/CV) scheme with proportional-integral control. The objectives of fast charging, Energy saving, power source protection, and System stability assurance can be simultaneously achieved. Furthermore, the effectiveness of the proposed intelligent optimal Energy Management System is verified by experimental results. Its merits are indicated by comparing a conventional Management System without the fan temperature control and with a fixed hydrogen pressure and a CC/CV charging framework.

Sara Khayyam - One of the best experts on this subject based on the ideXlab platform.

  • railway Energy Management System centralized decentralized automation architecture
    IEEE Transactions on Smart Grid, 2016
    Co-Authors: Sara Khayyam, Ferdinanda Ponci, Javier Goikoetxea, Valerio Recagno, Valeria Bagliano, Antonello Monti
    Abstract:

    The modern railway System is a massive grid connected complex System with distributed active loads (trains), sources (particularly distributed renewable sources), and storage (wayside or on-board storage Systems). Its Energy Management therefore requires the concepts and techniques used for managing Energy in the smart grid (SG). Accordingly, the new railway Energy Management System (REM-S) is developed to integrate on-board, wayside, and coordination services. REM-S is driven by the idea that regeneration, loads, storage, and volatile distributed Energy resources should be coordinated dynamically to achieve optimal Energy usage. This paper presents the proposed REM-S architecture, which is based on a hybrid centralized–decentralized concept and developed according to SG architecture model framework.