Control and Dynamics in Power Systems and Microgrids,
Автор: Fan Lingling Название: Control and Dynamics in Power Systems and Microgrids ISBN: 0367782154 ISBN-13(EAN): 9780367782153 Издательство: Taylor&Francis Рейтинг: Цена: 43890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In traditional power system dynamics and control books, the focus is on synchronous generators. Within current industry, where renewable energy, power electronics converters, and microgrids arise, the related system-level dynamics and control need coverage. Wind energy system dynamics and microgrid system control are covered. The text also offer
Microgrids have emerged as a promising solution for accommodating the integration of renewable energy resources. But the intermittency of renewable generation is posing challenges such as voltage/frequency fluctuations, and grid stability issues in grid-connected modes. Model predictive control (MPC) is a method for controlling a process while satisfying a set of constraints. It has been in use for chemical plants and in oil refineries since the 1980s, but in recent years has been deployed for power systems and electronics as well.
This concise work for researchers, engineers and graduate students focuses on the use of MPC for distributed renewable power generation in microgrids. Fluctuating outputs from renewable energy sources and variable load demands are covered, as are control design concepts. The authors provide examples and case studies to validate the theory with both simulation and experimental results and review the shortcomings and future developments.
Chapters treat power electronic converters and control; modelling and hierarchical control of microgrids; use of MPC for PV and wind power; voltage support; parallel PV-ESS microgrids; secondary restoration capability; and tertiary power flow optimization.
Автор: Khokhar, Bhuvnesh ; Parmar, K P Singh ; Thakur, Tr Название: Load Frequency Control of Microgrids ISBN: 1032718315 ISBN-13(EAN): 9781032718316 Издательство: Taylor&Francis Рейтинг: Цена: 94930.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Guo, Fanghong (agency For Science, Technology And Research, Singapore) Wen, Changyun Song, Yong-duan (chongqing University, China) Название: Distributed control and optimization technologies in smart grid systems ISBN: 1138088595 ISBN-13(EAN): 9781138088597 Издательство: Taylor&Francis Рейтинг: Цена: 163330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book aims to equalize the theoretical involvement with industrial practicality by reducing the mathematical difficulties. It provides an overview of distributed control and distributed optimization theory, followed by specific details on industrial applications to smart grid systems, with a special focus on micro grid systems.
Автор: Zhong, Zhixiong Название: Modeling, control, estimation, and optimization for microgrids ISBN: 1138491659 ISBN-13(EAN): 9781138491656 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Renewable sources, such as solar PVs, wind turbines, and fuel cells, integrated with grid, have changed the way we live our lives. This book describes microgrid dynamics modeling and nonlinear control issues from introductory to the advanced steps.
Автор: Carlos Bordons; F?lix Garcia-Torres; Miguel A. Rid Название: Model Predictive Control of Microgrids ISBN: 3030245691 ISBN-13(EAN): 9783030245696 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
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. The authors also provide a modular simulator to be run in MATLAB®/Simulink®, for readers to create their own microgrids using the blocks supplied, 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.
Автор: de Andrade Flбvia, Castilla Miguel, Bonatto Benedito Donizeti Название: Basic Tutorial on Simulation of Microgrids Control Using Matlab(r) & Simulink(r) Software ISBN: 303043012X ISBN-13(EAN): 9783030430122 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers a detailed guide to the design and simulation of basic control methods applied to microgrids in various operating modes, using MATLAB (R) Simulink (R) software.
Автор: Carlos Bordons; F?lix Garcia-Torres; Miguel A. Rid Название: Model Predictive Control of Microgrids ISBN: 3030245721 ISBN-13(EAN): 9783030245726 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Нет в наличии. Описание: The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC).
Автор: Braitor Andrei-Constantin Название: Advanced Hierarchical Control and Stability Analysis of DC Microgrids ISBN: 3030954145 ISBN-13(EAN): 9783030954147 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces several novel contributions into the current literature. Firstly, given that microgrid topologies are paramount in theoretical analysis, the author has proposed a rigorous method of computing the network’s admittance matrix and developed to facilitate the stability analysis of DC microgrids supplying nonlinear loads. This unique approach enabled the factorisation of the admittance matrix in a particular way that facilitates a rigorous theoretical analysis for deriving the stability conditions. Secondly, author has proposed a unified control structure at the primary control layer that maintains the widely accepted droop-based approaches and additionally ensures crucial current- and voltage-limiting properties, thus offering an inherent protection to distributed energy resources. He has formalised the control design proofs using Lyapunov methods and nonlinear ultimate boundedness theory, for both parallel and meshed microgrid configurations. Moreover, he has developed a distributed secondary controller using a diffusive coupling communication network, on top of the primary control, to achieve voltage restoration and improve the power sharing. In this way, the author has formulated the complete hierarchical control scheme. In this high-order nonlinear setting, he has analytically proven closed-loop system stability of the overall system, for the first time, using two-time scale approaches and singular perturbation theory, by formulating rigorous theorems that introduce straightforward conditions that guide the system and control design and demonstrate system stability at the desired equilibrium point. In addition, the author has provided a straightforward algorithm for simple testing of system stability and explored from a graphical perspective by giving an interpretation to the effect of the nonlinear load onto the system performance and stability.
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