Power System Dynamic Modelling and Analysis in Evolving Networks
Power System Dynamic Modelling and Analysis in Evolving Networks

Author: Babak Badrzadeh

Publisher: Springer Nature

Published: 2024-07-31

Total Pages: 893

ISBN-13: 3031478215

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This Green Book is an essential resource for power system engineers seeking comprehensive information on contemporary power system dynamic modelling and analysis. With today's rapid adoption of inverter-based resources and the resulting changes in power system dynamics, this book compares conventional power systems with evolving power systems characterized by high shares of grid-connected and distributed inverter-based resources. It covers dynamic phenomena, analysis methods, simulation tools and enablers required for secure and reliable system planning and operation. Starting with an overview of power system studies and associated analysis tools, the book provides modelling requirements for various power system components, including existing and emerging technologies. It includes practical examples from real-world power systems worldwide that act as step-by-step study guides for practising engineers and provides knowledge to apply in their day-to-day tasks. Additionally, the book emphasizes the importance of power system model acceptance testing and validation, providing practical examples of various testing methods. Written with practising power system engineers in mind, this book minimizes the use of advanced mathematics. However, relevant sources for those interested in learning more about mathematical concepts are provided. Overall, this book is an invaluable resource for power system engineers navigating contemporary power systems. Readers who would like to comment on any of the published books or identify errors to the editorial team please contact: [email protected].

Dynamic Thermal Analysis of Machines in Running State
Dynamic Thermal Analysis of Machines in Running State

Author: Lihui Wang

Publisher: Springer Science & Business Media

Published: 2013-08-13

Total Pages: 137

ISBN-13: 1447152735

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With the increasing complexity and dynamism in today’s machine design and development, more precise, robust and practical approaches and systems are needed to support machine design. Existing design methods treat the targeted machine as stationery. Analysis and simulation are mostly performed at the component level. Although there are some computer-aided engineering tools capable of motion analysis and vibration simulation etc., the machine itself is in the dry-run state. For effective machine design, understanding its thermal behaviours is crucial in achieving the desired performance in real situation. Dynamic Thermal Analysis of Machines in Running State presents a set of innovative solutions to dynamic thermal analysis of machines when they are put under actual working conditions. The objective is to better understand the thermal behaviours of a machine in real situation while at the design stage. The book has two major sections, with the first section presenting a broad-based review of the key areas of research in dynamic thermal analysis and simulation, and the second section presents an in-depth treatment of relevant methodology and algorithms, leading to better understanding of a machine in real situation. The book is a collection of novel ideas, taking into account the need for presenting intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students. Given the essential role of modern machines in factory automation and quality assurance, a book dedicated to the topic of dynamic thermal analysis, and its practical applications to machine design would be beneficial to readers of all design and manufacturing sectors, from machine design to automotive engineering, in better understanding the present challenges and solutions, as well as future research directions in this important area.

Dynamic Data Analysis
Dynamic Data Analysis

Author: James Ramsay

Publisher: Springer

Published: 2017-06-27

Total Pages: 242

ISBN-13: 1493971905

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This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in Ramsay and Silverman (2005) Functional Data Analysis. The central concept of a dynamical system as a buffer that translates sudden changes in input into smooth controlled output responses has led to applications of previously analyzed data, opening up entirely new opportunities for dynamical systems. The technical level has been kept low so that those with little or no exposure to differential equations as modeling objects can be brought into this data analysis landscape. There are already many texts on the mathematical properties of ordinary differential equations, or dynamic models, and there is a large literature distributed over many fields on models for real world processes consisting of differential equations. However, a researcher interested in fitting such a model to data, or a statistician interested in the properties of differential equations estimated from data will find rather less to work with. This book fills that gap.

Analytical Methods for Dynamic Modelers
Analytical Methods for Dynamic Modelers

Author: Hazhir Rahmandad

Publisher: MIT Press

Published: 2015-11-27

Total Pages: 443

ISBN-13: 0262331438

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A user-friendly introduction to some of the most useful analytical tools for model building, estimation, and analysis, presenting key methods and examples. Simulation modeling is increasingly integrated into research and policy analysis of complex sociotechnical systems in a variety of domains. Model-based analysis and policy design inform a range of applications in fields from economics to engineering to health care. This book offers a hands-on introduction to key analytical methods for dynamic modeling. Bringing together tools and methodologies from fields as diverse as computational statistics, econometrics, and operations research in a single text, the book can be used for graduate-level courses and as a reference for dynamic modelers who want to expand their methodological toolbox. The focus is on quantitative techniques for use by dynamic modelers during model construction and analysis, and the material presented is accessible to readers with a background in college-level calculus and statistics. Each chapter describes a key method, presenting an introduction that emphasizes the basic intuition behind each method, tutorial style examples, references to key literature, and exercises. The chapter authors are all experts in the tools and methods they present. The book covers estimation of model parameters using quantitative data; understanding the links between model structure and its behavior; and decision support and optimization. An online appendix offers computer code for applications, models, and solutions to exercises. Contributors Wenyi An, Edward G. Anderson Jr., Yaman Barlas, Nishesh Chalise, Robert Eberlein, Hamed Ghoddusi, Winfried Grassmann, Peter S. Hovmand, Mohammad S. Jalali, Nitin Joglekar, David Keith, Juxin Liu, Erling Moxnes, Rogelio Oliva, Nathaniel D. Osgood, Hazhir Rahmandad, Raymond Spiteri, John Sterman, Jeroen Struben, Burcu Tan, Karen Yee, Gönenç Yücel

Proceedings of the 2023 2nd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2023)
Proceedings of the 2023 2nd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2023)

Author: Zhikai Wang

Publisher: Springer Nature

Published: 2024-02-10

Total Pages: 761

ISBN-13: 9464633441

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This is an open access book. 2023 2nd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2023) will be held from Oct. 27 to 29 in Xiamen, China. It dedicates to create a platform for academic communications between specialists and scholars in the fields of Public Service, Economic Management and Sustainable Development. PESD 2023 is the Public Service, Economic Management and Sustainable Development conference aimed at presenting current research being carried out. Economic development provides the basic material basis for public services, and public services create a good social foundation for economic development. At the same time, social and economic aspects need to jointly promote sustainable development. The idea of the conference is for the scientists, scholars, engineers, and students from Universities all around the world and the industry to present ongoing research activities, and hence to foster research relations between the Universities and the industry. This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, establish business or research relations, and find global partners for future collaboration.

Multiscale Analysis and Nonlinear Dynamics
Multiscale Analysis and Nonlinear Dynamics

Author: Misha Meyer Pesenson

Publisher: John Wiley & Sons

Published: 2013-09-13

Total Pages: 307

ISBN-13: 352767165X

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Since modeling multiscale phenomena in systems biology and neuroscience is a highly interdisciplinary task, the editor of the book invited experts in bio-engineering, chemistry, cardiology, neuroscience, computer science, and applied mathematics, to provide their perspectives. Each chapter is a window into the current state of the art in the areas of research discussed and the book is intended for advanced researchers interested in recent developments in these fields. While multiscale analysis is the major integrating theme of the book, its subtitle does not call for bridging the scales from genes to behavior, but rather stresses the unifying perspective offered by the concepts referred to in the title. It is believed that the interdisciplinary approach adopted here will be beneficial for all the above mentioned fields.