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Model-based Predictive Control Methods for Distributed Energy Resources in Smart Grids

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Release : 2019
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Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Model-based Predictive Control Methods for Distributed Energy Resources in Smart Grids by : Luca Fabietti

Download or read book Model-based Predictive Control Methods for Distributed Energy Resources in Smart Grids written by Luca Fabietti. This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt: Mots-clés de l'auteur: MPC ; predictive control ; robust and stochastic optimization ; model identification ; smart grid ; frequency control ; battery energy storage system ; building control.

Model Predictive Control of Microgrids

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Release : 2019-09-12
Genre : Technology & Engineering
Kind : eBook
Book Rating : 705/5 ( reviews)

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Book Synopsis Model Predictive Control of Microgrids by : Carlos Bordons

Download or read book Model Predictive Control of Microgrids written by Carlos Bordons. This book was released on 2019-09-12. Available in PDF, EPUB and Kindle. Book excerpt: The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC). It gives readers a wide overview of control methods for microgrid operation at all levels, ranging from quality of service, to integration in the electricity market. MPC-based solutions are provided for the main control issues related to energy management and optimal operation of microgrids. The authors present MPC techniques for case studies that include different renewable sources – mainly photovoltaic and wind – as well as hybrid storage using batteries, hydrogen and supercapacitors. Experimental results for a pilot-scale microgrid are also presented, as well as simulations of scheduling in the electricity market and integration of electric and hybrid vehicles into the microgrid. in order to replicate the examples provided in the book and to develop and validate control algorithms on existing or projected microgrids. Model Predictive Control of Microgrids will interest researchers and practitioners, enabling them to keep abreast of a rapidly developing field. The text will also help to guide graduate students through processes from the conception and initial design of a microgrid through its implementation to the optimization of microgrid management. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Model Predictive Control for Microgrids

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Author :
Release : 2021-09
Genre : Technology & Engineering
Kind : eBook
Book Rating : 976/5 ( reviews)

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Book Synopsis Model Predictive Control for Microgrids by : Jiefeng Hu

Download or read book Model Predictive Control for Microgrids written by Jiefeng Hu. This book was released on 2021-09. Available in PDF, EPUB and Kindle. Book excerpt: Model predictive control (MPC) is a method for controlling a process while satisfying a set of constraints. The use of MPC for controlling power systems has been gaining traction in recent years. This work presents the use of MPC for distributed renewable power generation in microgrids.

Stochastic Optimization for Distributed Energy Resources in Smart Grids

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Release : 2017-06-21
Genre : Computers
Kind : eBook
Book Rating : 296/5 ( reviews)

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Book Synopsis Stochastic Optimization for Distributed Energy Resources in Smart Grids by : Yuanxiong Guo

Download or read book Stochastic Optimization for Distributed Energy Resources in Smart Grids written by Yuanxiong Guo. This book was released on 2017-06-21. Available in PDF, EPUB and Kindle. Book excerpt: This brief focuses on stochastic energy optimization for distributed energy resources in smart grids. Along with a review of drivers and recent developments towards distributed energy resources, this brief presents research challenges of integrating millions of distributed energy resources into the grid. The brief then proposes a novel three-level hierarchical architecture for effectively integrating distributed energy resources into smart grids. Under the proposed hierarchical architecture, distributed energy resource management algorithms at the three levels (i.e., smart home, smart neighborhood, and smart microgrid) are developed in this brief based on stochastic optimization that can handle the involved uncertainties in the system.

Model Predictive Control Enabling Flexible Operation of Data Centers

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Release : 2018-02-21
Genre : Science
Kind : eBook
Book Rating : 613/5 ( reviews)

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Book Synopsis Model Predictive Control Enabling Flexible Operation of Data Centers by : Tianyou Shao

Download or read book Model Predictive Control Enabling Flexible Operation of Data Centers written by Tianyou Shao. This book was released on 2018-02-21. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2017 in the subject Engineering - Power Engineering, grade: 2.0, RWTH Aachen University (Institute for Automation of Complex Power Systems), language: English, abstract: To rise to the challenge of the growing number of distributed Renewable Energy Sources (RES) for grid integration, Ancillary Service (AS) is increasingly crucial to maintaining the stability of power grid worldwide. In recent years, discussions about Data Centers (DCs) no longer limit to their energy efficiency. Considering the rising rigid demand from ICT customer and the high energy demand of DC, it is possible for DC to be one of Demand Response (DR) resources providing ASs in the smart grid. This thesis presents an online energy-aware scheduling algorithm based on Model Predictive Control (MPC), which realizes a proper adjustment of DC power demand, enabling the flexible operation of DC. The present work focuses on the identification and implementation of an MPC strategy which aims at a proper scheduling for DC which makes the total power consumption of DC flexible to track the reference signal in a DR context. It is demonstrated how the combination and interaction of the components under DC architecture can be utilized to achieve the realizable potential of operational flexibility for AS. Numerical simulation results have been carried out aimed at the later application in real pilot DCs. Furthermore, the capacity of resisting disturbance of this MPC approach has been discussed.

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