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Distributed Economic Operation in Smart Grid: Model-Based and Model-Free Perspectives, Qin


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Автор: Qin
Название:  Distributed Economic Operation in Smart Grid: Model-Based and Model-Free Perspectives
ISBN: 9789811985935
Издательство: Springer
Классификация:





ISBN-10: 9811985936
Обложка/Формат: Hardback
Страницы: 237
Вес: 0.59 кг.
Дата издания: 09.02.2023
Серия: Studies in Systems, Decision and Control
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 97 illustrations, color; 12 illustrations, black and white; xi, 237 p. 109 illus., 97 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book aims to work out the distributed economic operation in smart grids in a systematic way, which ranges from model-based to model-free perspectives. The main contributions of this book can be summarized into three folds. First, we investigate the fundamental economic operation problems in smart grids from model-based perspective. Specifically, these problems can be modeled as deterministic optimization models, and we propose some distributed optimization algorithms by integrating the multi-agent consensus theory and optimization techniques to achieve the distributed coordination of various generation units and loads. Second, due to the randomness of the large-scale renewable energies and the flexibility of the loads, we further address these economic operation problems from a model-free perspective, and we propose learning-based approaches to address the uncertainty and randomness. At last, we extend the idea of model-based and model-free algorithms to plug-in electric vehicles (PEVs) charging/discharging scheduling problem, the key challenge of which involves multiple objectives simultaneously while the behavior of PEVs and the electricity price are intrinsically random. This book presents several recent theoretical findings on distributed economic operation in smart grids from model-based and model-free perspectives. By systematically integrating novel ideas, fresh insights, and rigorous results, this book provides a base for further theoretical research on distributed economic operation in smart grids. It can be a reference for graduates and researchers to study the operation and management in smart grids. Some prerequisites for reading this book include optimization theory, matrix theory, game theory, reinforcement learning, etc.
Дополнительное описание: Introduction.- Preliminaries.- Model-Based Distributed Optimization.- Model-Free Distributed Optimization.- Extensions to PEVs Charging/Discharging Scheduling.



Developments in Model-Based Optimization and Control

Автор: Sorin Olaru; Alexandra Grancharova; Fernando Lobo
Название: Developments in Model-Based Optimization and Control
ISBN: 3319266853 ISBN-13(EAN): 9783319266855
Издательство: Springer
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Цена: 16979.00 р.
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Описание:

Introduction.- Part I. Complexity and Structural Properties of Linear Model Predictive Control.- 1. Complexity Certifications of First Order Inexact Lagrangian Methods for General Convex Programming: Application to Real-time MPC.- 2. Fully Inverse Parametric Linear/Quadratic Programming Problems via Convex Liftings.- 3. Implications of Inverse Parametric Optimization in Model Predictive Control.- Part II. Distributed-coordinated and Multi-objective Features of Model Predictive Control.- 4. Distributed Robust Model Predictive Control of Interconnected Polytopic Systems.- 5. Optimal Distributed-Coordinated Approach for Energy Management in Multisource Electric Power Generation Systems.- 6. Evolutionary-game-based Dynamical Tuning for Multi-objective Model Predictive Control.- Part III. Collaborative Model Predictive Control.- 7. A Model Predictive Control-based Architecture for Cooperative Path-following of Multiple Unmanned Aerial Vehicles.- 8. Predictive Control for Path Following. From Trajectory Generation to the Parameterization of the Discrete Tracking Sequences.- 9. Formation Reconfiguration using Model Predictive Control Techniques for Multi-Agent Dynamical Systems.- Part IV. Applications of Optimization-based Control and Identification.- 10. Optimal Operation of a Lumostatic Microalgae Cultivation Process.- 11. Bioprocesses Parameter Estimation by Heuristic Optimization Techniques.- 12. Real-time Experimental Implementation of Predictive Control Schemes in a Small-scale Pasteurization Plant.- Part V. Optimization-based Analysis and Design for Particular Classes of Dynamical Systems.- 13. An Optimization-based Framework for Impulsive Control Systems.- 14. Robustness Issues in Control of Bilinear Discrete-Time Systems - Applied to the Control of Power Converters.- 15. On the LPV Control Design and its Applications to Some Classes of Dynamical Systems.- 16. Ultimate Bounds and Robust Invariant Sets for Linear Systems with State-dependent Disturbances.- 17. RPI Approximations of the mRPI Set Characterizing Linear Dynamics with Zonotopic Disturbances.


Li-Distributed Power Resources

Автор: Li, Ruisheng
Название: Li-Distributed Power Resources
ISBN: 0128174471 ISBN-13(EAN): 9780128174470
Издательство: Elsevier Science
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Цена: 15487.00 р.
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Описание:

Distributed Power Resources: Operation and Control of Connecting to the Grid presents research and development, lists relevant technologies, and draws on experience to tackle practical problems in the operation and control of distributed power. Key problems are identified and interrogated, as are requirements and application methods, associated power conversion tactics, operational control protections, and maintenance technologies. The title gives experimental verification of the technologies involved in several demonstration projects, including an active multi-resource distribution grid, and a high-density distributed resources connecting ac/dc hybrid power grid.

The book considers the development of distributed photovoltaic power, wind power, and electric vehicle energy storage. It discusses the characteristics of distributed resources and the key requirements and core technologies for plug-and-play applications.

  • Considers the state-of-the-art in distributed power resources and their connection to the grid
  • Leverages practical experience and experimental data to solve problems of operation and control
  • Provides analysis of plug-and-play applications for distributed power supplies
  • Presents relevant technology and practical experience to industry
  • Explores potential new technologies in distributed power resources
Control and Measurement Applications for Smart Grid: Select Proceedings of SGESC 2021

Автор: Suhag Sathans, Mahanta Chitralekha, Mishra Sukumar
Название: Control and Measurement Applications for Smart Grid: Select Proceedings of SGESC 2021
ISBN: 9811676631 ISBN-13(EAN): 9789811676635
Издательство: Springer
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Цена: 25155.00 р.
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Описание: The book contains select proceedings of the International Conference on Smart Grid Energy Systems and Control (SGESC 2021). The proceedings is divided into 03 volumes, and this volume focuses on adaptive control and intelligent sensors, wide-area measurements, and applications in the smart grid. This book includes papers on topics such as SMART sensors, vision sensors, sensor fusion, wireless sensors, and the internet of things, MEMS, Mechatronics, Remote sensing, telemetry, and its applications in automated vehicle control. This book is a unique collection of chapters from different areas with a common theme and will be immensely useful to academic researchers and practitioners in the industry.

Distributed Linear Programming Models in a Smart Grid

Автор: Ranganathan Prakash, Nygard Kendall E.
Название: Distributed Linear Programming Models in a Smart Grid
ISBN: 3319849484 ISBN-13(EAN): 9783319849485
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book showcases the strengths of Linear Programming models for Cyber Physical Systems (CPS), such as the Smart Grids.

Virtual Equivalent System Approach for Stability Analysis of Model-based Control Systems

Автор: Zhang, W., Li
Название: Virtual Equivalent System Approach for Stability Analysis of Model-based Control Systems
ISBN: 9811555370 ISBN-13(EAN): 9789811555374
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The new concept will facilitate the development of a unified framework for analyzing the stability and convergence of self-tuning control (STC) systems, and potentially, of all adaptive control systems.

A Statistical Model

Автор: Stephen E. Fienberg; Cleo Youtz; David C. Hoaglin;
Название: A Statistical Model
ISBN: 1461279925 ISBN-13(EAN): 9781461279921
Издательство: Springer
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Цена: 16769.00 р.
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Описание: A large number of Mostellar`s friends, colleagues, collaborators, and former students have contributed to the preparation of this volume in honor of his 70th birthday. It provides a critical assessment of Mosteller`s professional and research contributions to the field of statistics and its applications.

Distributed model predictive control made easy

Название: Distributed model predictive control made easy
ISBN: 9400770057 ISBN-13(EAN): 9789400770058
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Distributed Model Predictive Control Made Easy

Distributed Linear Programming Models in a Smart Grid

Автор: Prakash Ranganathan; Kendall E. Nygard
Название: Distributed Linear Programming Models in a Smart Grid
ISBN: 3319526162 ISBN-13(EAN): 9783319526164
Издательство: Springer
Рейтинг:
Цена: 16769.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book showcases the strengths of Linear Programming models for Cyber Physical Systems (CPS), such as the Smart Grids.

Smart-Grid in IoT-enabled Spaces

Автор: Al-Turjman, Fadi
Название: Smart-Grid in IoT-enabled Spaces
ISBN: 0367517884 ISBN-13(EAN): 9780367517885
Издательство: Taylor&Francis
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Цена: 15312.00 р.
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Описание: In this book, we consider the most significant and emergent research topics in this domain, addressing major issues and challenges in IoT-based solutions proposed for the smart grid. The chapters provide insight on comprehensive topics in IoT-based smart grid, combining technical aspects with the most up to date theory.

Distributed Optimization, Game and Learning Algorithms: Theory and Applications in Smart Grid Systems

Автор: Wang Huiwei, Li Huaqing, Zhou Bo
Название: Distributed Optimization, Game and Learning Algorithms: Theory and Applications in Smart Grid Systems
ISBN: 9813345276 ISBN-13(EAN): 9789813345270
Издательство: Springer
Цена: 26926.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides the fundamental theory of distributed optimization, game and learning. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids.

Distributed Optimization, Game and Learning Algorithms: Theory and Applications in Smart Grid Systems

Автор: Wang Huiwei, Li Huaqing, Zhou Bo
Название: Distributed Optimization, Game and Learning Algorithms: Theory and Applications in Smart Grid Systems
ISBN: 9813345306 ISBN-13(EAN): 9789813345300
Издательство: Springer
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Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides the fundamental theory of distributed optimization, game and learning. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids.

The Use Case and Smart Grid Architecture Model Approach

Автор: Marion Gottschalk; Mathias Uslar; Christina Delfs
Название: The Use Case and Smart Grid Architecture Model Approach
ISBN: 3319492284 ISBN-13(EAN): 9783319492285
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book introduces readers to the fundamentals of the IEC 62559 Use Case Methodology, explains how it is related to the Smart Grid Architecture Model (SGAM), and details how a holistic view for both architecture and requirements engineering can be achieved.


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