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Computational methods in Power Systems require significant inputs from diverse disciplines, such as data base structures, numerical analysis etc. Strategic decisions in sparsity exploitation and algorithm design influence large-scale simulation and high-speed computations. Selection of programming paradigm shapes the design, its modularity and reusability. This has a far reaching effect on software maintenance. Computational Methods for Large Sparse Power Systems Analysis: An Object Oriented Approach provides a unified object oriented (OO) treatment for power system analysis. Sparsity exploitation techniques in OO paradigm are emphasized to facilitate large scale and fast computing. Specific applications like large-scale load flow, short circuit analysis, state estimation and optimal power flow are discussed within this framework. A chapter on modeling and computational issues in power system dynamics is also included. Motivational examples and illustrations are included throughout the book. A library of C++ classes provided along with this book has classes for transmission lines, transformers, substation etc. A CD-ROM with C++ programs is also included. It contains load flow, short circuit analysis and network topology processor applications. Power system data is provided and systems up to 150 buses can be studied. Other Special Features: This book is the first of its kind, covering power system applications designed with an OO perspective. Chapters on object orientation for modeling of power system computations, data structure, large sparse linear system solver, sparse QR decomposition in an OO framework are special features of this book.
Power system modelling and scripting is a quite general and ambitious title. Of course, to embrace all existing aspects of power system modelling would lead to an encyclopedia and would be likely an impossible task. Thus, the book focuses on a subset of power system models based on the following assumptions: (i) devices are modelled as a set of nonlinear differential algebraic equations, (ii) all alternate-current devices are operating in three-phase balanced fundamental frequency, and (iii) the time frame of the dynamics of interest ranges from tenths to tens of seconds. These assumptions basically restrict the analysis to transient stability phenomena and generator controls. The modelling step is not self-sufficient. Mathematical models have to be translated into computer programming code in order to be analyzed, understood and “experienced”. It is an object of the book to provide a general framework for a power system analysis software tool and hints for filling up this framework with versatile programming code. This book is for all students and researchers that are looking for a quick reference on power system models or need some guidelines for starting the challenging adventure of writing their own code.
This book treats state-of-the-art computational methods for power flow studies and contingency analysis. In the first part the authors present the relevant computational methods and mathematical concepts. In the second part, power flow and contingency analysis are treated. Furthermore, traditional methods to solve such problems are compared to modern solvers, developed using the knowledge of the first part of the book. Finally, these solvers are analyzed both theoretically and experimentally, clearly showing the benefits of the modern approach.
This book treats state-of-the-art computational methods for power flow studies and contingency analysis. In the first part the authors present the relevant computational methods and mathematical concepts. In the second part, power flow and contingency analysis are treated. Furthermore, traditional methods to solve such problems are compared to modern solvers, developed using the knowledge of the first part of the book. Finally, these solvers are analyzed both theoretically and experimentally, clearly showing the benefits of the modern approach.
The sheer size of today's power grid and the increasingly stressed conditions under which power systems operate demand the use of computers for analysis and simulations. Yet commercial software packages often fail or give erroneous results when used to simulate stressed systems. To correctly interpret the results, it is therefore imperative that power engineers understand the underlying numerical algorithms of the software. Computational Methods for Electric Power Systems provides a comprehensive study of the various computational methods that form the basis of many analytical studies of power systems. It presents the analytical background of the algorithms used in many commercially available software packages, thereby enabling readers to make more informed decisions in their use of the software and correctly interpret their results. The book furnishes a well-balanced discussion of the theory and applications of the algorithms and supports them with instructional examples and illustrations. As more and more demands are placed on the nation's power systems, predicting and updating the operating status of a network through systems analysis becomes increasingly important. This book builds the background necessary to successfully perform that analysis and prepares readers to cope with any difficulties they may encounter in practice.
In the aftermath of the wave of blackouts that affected US, UK and mainland Europe utilities in 2003 and 2004, renewed attention has been focused on maintaining the highest level of reliability and security in the operation of power systems. The lack of adequate transmission infrastructure as well as real-time tools aimed at detecting and alarming system conditions have also been highlighted. In this context, the need to assess stability and predict the risk of blackout in real-time has become particularly relevant. Early work in this field documented in technical papers published throughout the 1990s and early 2000s underlined the importance of performing stability assessment in real-time. While static security assessment is conceptually straightforward, innovative approaches are needed to combine it with dynamic security assessment to develop an overall scheme so that results can be used for on-line decision-making. On October 13, 2004, the IEEE Power Systems Conference and Exposition 2004 hosted the ‘Real-Time Stability Challenge’ panel session. Organized by the Power System Dynamic Performance Committee, the panel was a forum for presenting progress achieved in this field, discussing new ideas, and identifying the challenges to be met in the course of future research. Real-Time Stability in Power Systems: Techniques for Early Detection of the Risk of Blackout is built around most of the panel papers, updated and expanded by the authors with the new material relevant to the panel theme. The chapters are contributed by well known experts in the field, thus providing an authoritative reference on the theory and implementation of real-time stability assessment -- one of the critical topics of the day. Some of the issues discussed in the book include, but are not limited to: *Stability limits and how to objectively define them, *Techniques for defining and measuring the distance to instability, *The characterization of the risk of blackout, *Discussion of quick, approximate methods to filter out non-critical contingencies and do a detailed simulation only of those that result in limit violations, *Theoretical description and practical experience with real-time and/or near real-time stability applications available today in the SCADA/EMS industry.
Robust Control in Power Systems deals with the applications of new techniques in linear system theory to control low frequency oscillations in power systems. The book specifically focuses on the analysis and damping of inter-area oscillations in the systems which are in the range of 0.2-1 Hz. The damping control action is injected through high power electronic devices known as flexible AC transmission system (FACTS) controllers. Three commonly used FACTS controllers: controllable series capacitors (CSCs) controllable phase shifters (CPSs) and static var compensators (SVCs) have been used in this book to control the inter-area oscillations. The overview of linear system theory from the perspective of power system control is explained through examples. The damping control design is formulated as norm optimization problem. The H_infinity, H2 norm of properly defined transfer functions are minimized in linear matrix inequalities (LMI) framework to obtain desired performance and stability robustness. Both centralized and decentralized control structures are used. Usually the transmission of feedback signal from a remote location encounters delays making it difficult to control the system. Smith predictor based approach has been successfully explored in this book as a solution to such a problem. Robust Control in Power Systems will be valuable to academicians in the areas of power, control and system theory, as well as professionals in the power industry.