<p>Computational Intelligence (CI) is one of the most important powerful tools for research in the diverse fields of engineering sciences ranging from traditional fields of civil, mechanical engineering to vast sections of electrical, electronics and computer engineering and above all the biological
Computational Intelligence in Power Engineering
โ Scribed by M. A. Abido (auth.), Bijaya Ketan Panigrahi, Ajith Abraham, Swagatam Das (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2010
- Tongue
- English
- Leaves
- 389
- Series
- Studies in Computational Intelligence 302
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Computational Intelligence (CI) is one of the most important powerful tools for research in the diverse fields of engineering sciences ranging from traditional fields of civil, mechanical engineering to vast sections of electrical, electronics and computer engineering and above all the biological and pharmaceutical sciences. The existing field has its origin in the functioning of the human brain in processing information, recognizing pattern, learning from observations and experiments, storing and retrieving information from memory, etc. In particular, the power industry being on the verge of epoch changing due to deregulation, the power engineers require Computational intelligence tools for proper planning, operation and control of the power system. Most of the CI tools are suitably formulated as some sort of optimization or decision making problems. These CI techniques provide the power utilities with innovative solutions for efficient analysis, optimal operation and control and intelligent decision making. This edited volume deals with different CI techniques for solving real world Power Industry problems. The technical contents will be extremely helpful for the researchers as well as the practicing engineers in the power industry.
โฆ Table of Contents
Front Matter....Pages -
Robust Design of Power System Stabilizers for Multimachine Power Systems Using Differential Evolution....Pages 1-18
An AIS-ACO Hybrid Approach for Multi-Objective Distribution System Reconfiguration....Pages 19-73
Intelligent Techniques for Transmission Line Fault Classification....Pages 75-101
Fuzzy Reliability Evaluations in Electric Power Systems....Pages 103-130
Load Forecasting and Neural Networks: A Prediction Interval-Based Perspective....Pages 131-150
Neural Network Ensemble for 24-Hour Load Pattern Prediction in Power System....Pages 151-169
Power System Protection Using Machine Learning Technique....Pages 171-198
Power Quality....Pages 199-234
Particle Swarm Optimization PSO: A New Search Tool in Power System and Electro Technology....Pages 235-294
Particle Swarm Optimization and Its Applications in Power Systems....Pages 295-324
Application of Evolutionary Optimization Techniques for PSS Tuning....Pages 325-366
A Metaheuristic Approach for Transmission System Expansion Planning....Pages 367-379
Back Matter....Pages -
โฆ Subjects
Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Power Electronics, Electrical Machines and Networks
๐ SIMILAR VOLUMES
<p>This volume contains a careful selection of papers that are based on and are extensions of corresponding lectures presented at the jubilee conference. The main subject area called Computational Intelligence includes diverse topics. Therefore, we offer snapshots rather than a full coverage of a sm
<p>This volume contains a careful selection of papers that are based on and are extensions of corresponding lectures presented at the jubilee conference. The main subject area called Computational Intelligence includes diverse topics. Therefore, we offer snapshots rather than a full coverage of a sm
<P>This volume contains chapters presenting applications of different metaheuristics (ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization) in reliability engineering. It also includes chapters devoted to cellular automata and support vector machines
<P>As in many other fields, biomedical engineers benefit from the use of computational intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even greater if there were scientific literature that specifically focused on the biomedical applications of computational in
<P>This book covers the recent applications of computational intelligence techniques in reliability engineering. This volume contains a survey of the contributions made to the optimal reliability design literature in the resent years and chapters devoted to different applications of a genetic algori