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

Author: Luca Fabietti
Publisher:
ISBN:
Category :
Languages : en
Pages : 186

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Book Description
Mots-clés de l'auteur: MPC ; predictive control ; robust and stochastic optimization ; model identification ; smart grid ; frequency control ; battery energy storage system ; building control.

Author: Carlos Bordons
Publisher: Springer Nature
ISBN: 3030245705
Category : Technology & Engineering
Languages : en
Pages : 266

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Book Description
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.

Author: Jiefeng Hu
Publisher: Energy Engineering
ISBN: 9781839533976
Category : Technology & Engineering
Languages : en
Pages : 300

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Book Description
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.

Author: Thongchart Kerdphol
Publisher: Springer Nature
ISBN: 3030579611
Category : Technology & Engineering
Languages : en
Pages : 259

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Book Description
This book provides a thorough understanding of the basic principles, synthesis, analysis, and control of virtual inertia systems. It uses the latest technical tools to mitigate power system stability and control problems under the presence of high distributed generators (DGs) and renewable energy sources (RESs) penetration. This book uses a simple virtual inertia control structure based on the frequency response model, complemented with various control methods and algorithms to achieve an adaptive virtual inertia control respect to the frequency stability and control issues. The chapters capture the important aspects in virtual inertia synthesis and control with the objective of solving the stability and control problems regarding the changes of system inertia caused by the integration of DGs/RESs. Different topics on the synthesis and application of virtual inertia are thoroughly covered with the description and analysis of numerous conventional and modern control methods for enhancing the full spectrum of power system stability and control. Filled with illustrative examples, this book gives the necessary fundamentals and insight into practical aspects. This book stimulates further research and offers practical solutions to real-world power system stability and control problems with respect to the system inertia variation triggered by the integration of RESs/DGs. It will be of use to engineers, academic researchers, and university students interested in power systems dynamics, analysis, stability and control.

Author: Yuanxiong Guo
Publisher: Springer
ISBN: 3319595296
Category : Computers
Languages : en
Pages : 84

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Book Description
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.

Author: Tianyou Shao
Publisher: GRIN Verlag
ISBN: 3668642613
Category : Science
Languages : en
Pages : 111

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Book Description
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.

Author: Víctor Sanz i López
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
Smart grids are seen as the solution to deal with future challenges in the eld of electrical generation, transport and supply. Environmental, economic and social issues have encouraged distributed generation and new control methods should be applied to ensure grid frequency deviation to be low enough in order to prevent potential damage to devices connected to the electrical grid. At the same time, supply cost and power should be controlled to avoid excess. The fact that the classical generation structure based on large power plants as the main supply sources for urban areas is changing to a set of smaller generation distributed points. To adapt to this change in terms of generation model, a distributed control is proposed in this study, where all areas have an in uence on neighbour areas. To do so, a hierarchical cooperative model predictive control is presented in this thesis. The idea of the study is creating a hierarchical system based by means of overlapping the original subsystem areas to create several control layers. Lower layers are controlled through load frequency control (LFC) for each layer and transmit the results to following layers beneath each one. In addition, the upper level symbolises a centralised optimization unit computing the reference values based on cost optimization. The fact that the control is distributed also deals with eventual communication blackout, due to the fact that other areas apply the control to the momentarily disconnected area. All these studies have been checked implementing a simulation program using Matlab/Simulink.

Author: Ashutosh K. Giri
Publisher: CRC Press
ISBN: 1000823377
Category : Science
Languages : en
Pages : 308

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Book Description
This book provides the insight of various topology and control algorithms used for power control in distributed energy power conversion systems such as solar, wind, and other power sources. It covers traditional and advanced control algorithms of power filtering including modelling and simulations, and hybrid power generation systems. The adaptive control, model predictive control, fuzzy-based controllers, Artificial Intelligence-based control algorithm, and optimization techniques application for estimating the error regulator gains are discussed. Features of this book include the following: Covers the schemes for power quality enhancement, and voltage and frequency control. Provides complete mathematical modelling and simulation results of the various configurations of the renewable energy-based distribution systems. Includes design, control, and experimental results. Discusses mathematical modelling of classical and adaptive control techniques. Explores recent application of control algorithm and power conversion. This book is aimed at researchers, professionals, and graduate students in power electronics, distributed power generation systems, control engineering, Artificial Intelligent-based control algorithms, optimization techniques, and renewable energy systems.

Author: Meng Song
Publisher: Springer Nature
ISBN: 9811671702
Category : Technology & Engineering
Languages : en
Pages : 278

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Book Description
The proliferation of renewable energy enhances the sustainability of power systems, but the inherent variability also poses great challenges to the planning and operation of large power grids. The corresponding electric power deficiencies can be compensated by fast ramping generators and energy storage devices. However, frequent ramp up/down power adjustments can increase the operation and the maintenance cost of generators. Moreover, storage devices are regarded as costly alternatives. Demand response (DR) and transactive energy can address this problem owing to its attractive and versatile capability for balancing the supply-demand, improving energy efficiency, and enhancing system resilience. Distributed resources are the typical participants of DR and transactive energy programs, which greatly contribute to keep the supply and demand in a balance. Thermostatically controlled loads (TCLs) (i.e., air conditioners, water heaters, and refrigerators) represent an example of distributed resources, the ratio of which to the total power consumption in developed countries is up to 30%–40%. Providing tremendous potentials in adjustable power consumption, TCLs have attracted major interests in DR and transactive energy opportunities. It has highlighted the advantages of TCLs in responding to uncertainties in power systems. This book provides an insight of TCLs as typical distributed resources in smart grids for demand response and transactive energy to address the imbalance between supply and demand problems in power systems. The key points on analysis of uncertainty parameters, aggregated control models, battery modelling, multi-time scale control, transactive control and robust restoration of TCLs are all included. These are the research points of smart grids and deserve much attention. We believe this book will offer the related researcher a better understanding on the integration of distributed resources into smart grid for demand response and transactive energy. And it will be helpful to address the problems in practical projects.

Author: Aranya Chakrabortty
Publisher: Springer Science & Business Media
ISBN: 1461416043
Category : Technology & Engineering
Languages : en
Pages : 377

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Book Description
In this book, leading experts in power, control and communication systems discuss the most promising recent research in smart grid modeling, control and optimization. The book goes on to the foundation for future advances in this critical field of study.