AC-DC Power System Analysis
Jos Arrillaga The Institution of Engineering and Technology, 1998 Library of Congress TK1005.A758 1998 | Dewey Decimal 621.31
With the expansion of HV DC transmission throughout the world, and the increasing numbers of international interconnections, few power systems can continue to escape the effect of this technology in their planning and operation. The primary subject of this book is the incorporation of AC-DC converters and DC transmission in power system analysis. However, the concepts and methods described are also applicable to the FACTS (flexible AC transmission systems) technology.
As well as conventional power flows, faults and stability, the book describes the simulation of power system steady-state waveform distortion and transient behaviour. The modelling of power electronic devices in electromagnetic transient programs is given prominence, as these programs have become the 'workhorse' of power system design.
This graduate-level text should be of interest to practising engineers and researchers involved in the solution of modern power system problems. It will also be a useful reference for advanced electrical engine ering students.
Adaptive Sampling with Mobile WSN develops algorithms for optimal estimation of environmental parametric fields. With a single mobile sensor, several approaches are presented to solve the problem of where to sample next to maximally and simultaneously reduce uncertainty in the field estimate and uncertainty in the localisation of the mobile sensor while respecting the dynamics of the time-varying field and the mobile sensor. A case study of mapping a forest fire is presented. Multiple static and mobile sensors are considered next, and distributed algorithms for adaptive sampling are developed resulting in the Distributed Federated Kalman Filter. However, with multiple resources a possibility of deadlock arises and a matrix-based discrete-event controller is used to implement a deadlock avoidance policy. Deadlock prevention in the presence of shared and routing resources is also considered. Finally, a simultaneous and adaptive localisation strategy is developed to simultaneously localise static and mobile sensors in the WSN in an adaptive manner. Experimental validation of several of these algorithms is discussed throughout the book.
Capacitors are passive electrical components that store energy in an electric field. Applications include electric power conditioning, signal processing, motor starting, and energy storage. The maximum charge a capacitor can hold largely depends on the dielectric material inside. That material is the enabler for the performance. Ongoing development in fields such as high-power electronics, renewable energy, hybrid electric vehicles and electric aircraft, is posing an urgent need for more advanced electrostatic capacitor technology.
This book for researchers in industry and academia provides an overview of key dielectric materials for capacitor technology. It covers preparation and characterization of state-of-the art dielectric materials including ceramics, polymers and polymer nanocomposites, for the most popular applications including energy storage, microwave communication and multi-layer ceramic capacitors.
The book begins with an introduction to electrostatic capacitor technology, then goes on to cover the following topics: techniques for capacitor dielectrics characterization; dielectric polymers and dielectric metamaterials for high energy capacitors; polymer/nanofiller composites; high-temperature polymer-based dielectrics for electrostatic energy storage; design and simulations of capacitor dielectrics by phase-field computations; rational design on polymer dielectrics; inorganic dielectrics for high-energy-density capacitors; ceramic dielectrics for microwave communication; ceramic dielectrics for MLCCs; and finally two chapters on future prospects for polymers and ceramics.
It is several years since any book has attempted to cover the range of issues in high voltage research and development. The area continues to be full of challenge and scope and this book focuses on developments in experimental methods, theory, modelling and HV technology through the past decade. The coverage includes advances in basic understanding and capability, for instance in earthing, numerical analysis, optical methods, the physics of air breakdown and partial discharge. It also addresses technological developments in key areas such as SF6 insulation systems, polymeric insulators and power cables, ZnO surge arrestors, and pulsed power. The unique blend of reputable contributors and comprehensive subject coverage makes this book an ideal reference source for engineers and researchers in the field for many years to come.
Advances in Power System Modelling, Control and Stability Analysis captures the variety of new methodologies and technologies that are changing the way modern electric power systems are modelled, simulated and operated.
The book is divided into three parts. Part 1 presents research works on power system modelling and includes applications of telegrapher equations, power flow analysis with inclusion of uncertainty, discrete Fourier transformation and stochastic differential equations. Part 2 focuses on power system operation and control and presents insights on optimal power flow, real-time control and state estimation techniques. Finally, Part 3 describes advances in the stability analysis of power systems and covers voltage stability, transient stability, time delays, and limit cycles.
A rich mix of theoretical aspects with practical considerations, as well as benchmarks test systems and real-world applications makes this book essential reading for researchers and students in academia and industry in electric power systems modelling and control.
Research in artificial intelligence has developed many techniques and methodologies that can be either adapted or used directly to solve complex power system problems. A variety of such problems are covered in this book including reactive power control, alarm analysis, fault diagnosis, protection systems and load forecasting. Methods such as knowledge-based (expert) systems, fuzzy logic, neural networks and genetic algorithms are all first introduced and then investigated in terms of their applicability in the power systems field. The book, therefore, serves as both an introduction to the use of artificial intelligence techniques for those from a power systems background and as an overview of the power systems implementation area for those from an artificial intelligence computing or control background. It is structured so that it is suitable for various levels of reader, covering basic principles as well as applications and case studies. The most popular methods and the most fruitful application fields are considered in more detail. The book contains contributions from top international authors and will be an extremely useful text for all those with an interest in the field.