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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.


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: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

IEC 61850-Based Smart Substations

Автор: Yuan, Yubo
Название: IEC 61850-Based Smart Substations
ISBN: 0128151587 ISBN-13(EAN): 9780128151587
Издательство: Elsevier Science
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Цена: 153830.00 T
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Описание:

IEC 61850-Based Smart Substations: Principles, Testing, Operation and Maintenance systematically presents principles, testing approaches, and the operation and maintenance technologies of such substations from the perspective of real-world application. The book consists of chapters that cover a review of IEC 61850 based smart substations, substation configuration technology, principles and testing technologies for the smart substation, process bus, substation level, time setting and synchronization, and cybersecurity. It gives detailed information on testing processes and approaches, operation and maintenance technologies, and insights gained through practical experience.

As IEC 61850 based smart substations have played a significant role in smart grids, realizing information sharing and device interoperation, this book provides a timely resource on the topics at hand.

  • Contributes to the overall understanding of standard IEC 61850, analyzing principles and features
  • Introduces best practices derived from hundreds of smart substation engineering applications
  • Summarizes current research and insights gained from practical experience in the testing, operation and maintenance of smart substation projects in China
  • Gives systematic and detailed information on testing technology
  • Introduces novel technologies for next-generation substations

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: 113190.00 T
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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.



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: 156720.00 T
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Описание: Distributed Model Predictive Control Made Easy

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: 167700.00 T
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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: Prakash Ranganathan; Kendall E. Nygard
Название: Distributed Linear Programming Models in a Smart Grid
ISBN: 3319526162 ISBN-13(EAN): 9783319526164
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book showcases the strengths of Linear Programming models for Cyber Physical Systems (CPS), such as the Smart Grids.

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
Рейтинг:
Цена: 121110.00 T
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.

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
Рейтинг:
Цена: 130430.00 T
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.

Model-Free Prediction and Regression

Автор: Dimitris N. Politis
Название: Model-Free Prediction and Regression
ISBN: 3319213466 ISBN-13(EAN): 9783319213460
Издательство: Springer
Рейтинг:
Цена: 83850.00 T
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Описание: Model-Free Prediction and Regression

Model-Free Prediction and Regression

Автор: Dimitris N. Politis
Название: Model-Free Prediction and Regression
ISBN: 3319352490 ISBN-13(EAN): 9783319352497
Издательство: Springer
Рейтинг:
Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Prediction: some heuristic notions.- The Model-free Prediction Principle.- Model-based prediction in regression.- Model-free prediction in regression.- Model-free vs. model-based confidence intervals.- Linear time series and optimal linear prediction.- Model-based prediction in autoregression.- Model-free inference for Markov processes.- Predictive inference for locally stationary time series.- Model-free vs. model-based volatility prediction.

Economic Model Predictive Control

Автор: Ellis
Название: Economic Model Predictive Control
ISBN: 3319411071 ISBN-13(EAN): 9783319411071
Издательство: Springer
Рейтинг:
Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency. Specifically, the book proposes:Lyapunov-based EMPC methods for nonlinear systems; two-tier EMPC architectures that are highly computationally efficient; and EMPC schemes handling explicitly uncertainty, time-varying cost functions, time-delays and multiple-time-scale dynamics.The proposed methods employ a variety of tools ranging from nonlinear systems analysis, through Lyapunov-based control techniques to nonlinear dynamic optimization. The applicability and performance of the proposed methods are demonstrated through a number of chemical process examples.The book presents state-of-the-art methods for the design of economic model predictive control systems for chemical processes.In addition to being mathematically rigorous, these methods accommodate key practical issues, for example, direct optimization of process economics, time-varying economic cost functions and computational efficiency. Numerous comments and remarks providing fundamental understanding of the merging of process economics and feedback control into a single framework are included. A control engineer can easily tailor the many detailed examples of industrial relevance given within the text to a specific application.The authors present a rich collection of new research topics and references to significant recent work making Economic Model Predictive Control an important source of information and inspiration for academics and graduate students researching the area and for process engineers interested in applying its ideas.

Economic Model Predictive Control

Автор: Durand Helen, Christofides Panagiotis
Название: Economic Model Predictive Control
ISBN: 1680834320 ISBN-13(EAN): 9781680834321
Издательство: Неизвестно
Цена: 50580.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written in tutorial style, this monograph provides the reader with a full literature review of the topic and demonstrates how these techniques can be adopted in a practical system.


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