Distribution System Modeling And Analysis Third Edition
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| Author | : William H. Kersting |
| Publisher | : CRC Press |
| Total Pages | : 450 |
| Release | : 2016-02-03 |
| Genre | : Technology & Engineering |
| ISBN | : 1439856478 |
Updated to reflect the latest changes and advances in the field, Distribution System Modeling and Analysis, Third Edition again illustrates methods that will ensure the most accurate possible results in computational modeling for electric power distribution systems. With the same simplified approach of previous editions, this book clearly explains the principles and mathematics behind system models, also discussing the "smart grid" concept and its special benefits. However, this volume adds a crucial element not found in previous editions. The first two books developed models for all components but focused less on how to actually implement those models on a computer for planning and for real-time analysis. This book includes numerous models of components and several practical examples, to demonstrate how engineers can apply and customize computer programs to help them plan and operate systems. It also covers approximation methods to help users interpret computer program feedback, so they recognize when a result is not what it should be. Another improvement is the book’s earlier introduction (in chapter 4) of the modified ladder iterative technique. The author explains the need for this method—which is used in most distribution analysis programs—detailing how it is applied and why it is among the most powerful options. Concluding with a detailed summary of presented topics that readers have come to expect, this edition provides useful problems, references, and assignments that help users apply Mathcad® and WIndmil programs to put their new learning into practice. An invaluable tool for engineering students and professionals worldwide, this book explores cutting-edge advances in modeling, simulation, and analysis of distribution systems that can ensure the continued dispersal of safe, reliable energy. Watch William H. Kerstig talk about his book at: http://www.youtube.com/watch?v=qmlDiH1ntuE
| Author | : William H. Kersting |
| Publisher | : CRC Press |
| Total Pages | : 329 |
| Release | : 2001-08-31 |
| Genre | : Technology & Engineering |
| ISBN | : 1420041738 |
For decades, distribution engineers did not have the sophisticated tools developed for analyzing transmission systems-often they had only their instincts. Things have changed, and we now have computer programs that allow engineers to simulate, analyze, and optimize distribution systems. Powerful as these programs are, however, without a real unders
| Author | : Kersting William H Staff |
| Publisher | : CRC Press |
| Total Pages | : |
| Release | : 2006-11 |
| Genre | : |
| ISBN | : 9781420043570 |
| Author | : William H. Kersting |
| Publisher | : CRC Press |
| Total Pages | : 238 |
| Release | : 2002-12 |
| Genre | : |
| ISBN | : 9780849303944 |
| Author | : William H. Kersting |
| Publisher | : CRC Press |
| Total Pages | : 437 |
| Release | : 2022-08-19 |
| Genre | : Technology & Engineering |
| ISBN | : 100062644X |
This Fifth Edition includes new sections on electric vehicle loads and the impact they have on voltage drop and transformers in distribution systems. A new and improved tape-shield cable model has been developed to produce more accurate impedance modeling of underground cables. In addition, the book uses state-of-the-art software, including the power distribution simulation software Milsoft WindMil® and programming language Mathworks MATLAB®. MATLAB scripts have been developed for all examples in the text, in addition to new MATLAB-based problems at the end of the chapters. This book illustrates methods that ensure the most accurate results in computational modeling for electric power distribution systems. It clearly explains the principles and mathematics behind system models and discusses the smart grid concept and its special benefits. Including numerous models of components and several practical examples, the chapters demonstrate how engineers can apply and customize computer programs to help them plan and operate systems. The book also covers approximation methods to help users interpret computer program results and includes references and assignments that help users apply MATLAB and WindMil programs to put their new learning into practice.
| Author | : Atousa Yazdani |
| Publisher | : CRC Press |
| Total Pages | : 126 |
| Release | : 2018-02-21 |
| Genre | : Technology & Engineering |
| ISBN | : 1315301490 |
With the new advancements in distribution systems, such as the integration of renewable energy and bidirectional energy flow, it is necessary to equip power system engineers and students with better tools and understanding of how to study and analyze various phenomenon in distribution system. This book includes sections that address new advancements in distribution systems by discussing possible impacts associated with active distribution systems. It provides a foundational knowledge of the parts and equipment that make up a distribution grid, how they work, and how they are designed, maintained, and protected. The book highlights experimental modeling and analysis examples, which can be carried out by utilizing the software, PSCAD. It aims to introduce and familiarize the reader with how to use analytical tools and understand the engineering problems related to distribution system.
| Author | : Taylor & Francis Group |
| Publisher | : |
| Total Pages | : |
| Release | : 2011-11-30 |
| Genre | : |
| ISBN | : 9781439894415 |
| Author | : Averill Law |
| Publisher | : McGraw-Hill Science/Engineering/Math |
| Total Pages | : 792 |
| Release | : 2006-07-21 |
| Genre | : Technology & Engineering |
| ISBN | : 9780073294414 |
Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the “bible” of simulation and now has more than 100,000 copies in print. The book can serve as the primary text for a variety of courses; for example: • A first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses. • A second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research. • An introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).
| Author | : Manuel D. Rossetti |
| Publisher | : John Wiley & Sons |
| Total Pages | : 746 |
| Release | : 2015-05-26 |
| Genre | : Mathematics |
| ISBN | : 111885814X |
Emphasizes a hands-on approach to learning statistical analysis and model building through the use of comprehensive examples, problems sets, and software applications With a unique blend of theory and applications, Simulation Modeling and Arena®, Second Edition integrates coverage of statistical analysis and model building to emphasize the importance of both topics in simulation. Featuring introductory coverage on how simulation works and why it matters, the Second Edition expands coverage on static simulation and the applications of spreadsheets to perform simulation. The new edition also introduces the use of the open source statistical package, R, for both performing statistical testing and fitting distributions. In addition, the models are presented in a clear and precise pseudo-code form, which aids in understanding and model communication. Simulation Modeling and Arena, Second Edition also features: Updated coverage of necessary statistical modeling concepts such as confidence interval construction, hypothesis testing, and parameter estimation Additional examples of the simulation clock within discrete event simulation modeling involving the mechanics of time advancement by hand simulation A guide to the Arena Run Controller, which features a debugging scenario New homework problems that cover a wider range of engineering applications in transportation, logistics, healthcare, and computer science A related website with an Instructor’s Solutions Manual, PowerPoint® slides, test bank questions, and data sets for each chapter Simulation Modeling and Arena, Second Edition is an ideal textbook for upper-undergraduate and graduate courses in modeling and simulation within statistics, mathematics, industrial and civil engineering, construction management, business, computer science, and other departments where simulation is practiced. The book is also an excellent reference for professionals interested in mathematical modeling, simulation, and Arena.
| Author | : Andrew Gelman |
| Publisher | : CRC Press |
| Total Pages | : 677 |
| Release | : 2013-11-01 |
| Genre | : Mathematics |
| ISBN | : 1439840954 |
Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.
