Description
Book SynopsisThis text on evolutionary computation presents an account of neural network and evolutionary programming applications as optimization techniques in electric power systems. It provides a treatment of evolutionary programming and neural network applications to power system optimization problems.
Trade Review"It is apparent that most topics are well described, but some lack fair treatment...the book is designed better as a reference book...which should help engineers and researchers appreciate the recent advances in this area." (Power Engineering Journal, February 1999)
"This book describes ANNs and extensions...in a general way." (Aslib Book Guide, Vol. 64, No. 1, January 1999)
Table of ContentsObject-Oriented Analysis, Design and Development of Artificial Neural Networks.
Evolutionary Computation.
Hybrid Evolutionary Algorithms and Artificial Neural Networks
An Evolutionary Programming Approach to Reactive Power Planning
Optimal Reactive Power Dispatch Using Evolutionary Programming.
Application of Evolutionary Programming to Transmission Network Planning.
Application of Evolutionary Programming to Generator Parameter Estimation.
Evolutionary Programming for Economic Dispatch of Units with Non-Smooth Input-Output Characteristic Functions.
Power Flow Control in Facts Using Evolutionary Programming.
Multi-Time-Interval Scheduling for Daily Operation of a Two-Co-Generation System with Evolutionary Programming.
Application of Evolutionary Programming to Fault Section Estimation.
Neural Networks for Fault Diagnosis in HVDC Systems.
An Ann Approach to the Diagnosis of Transformer Faults
Real-Time Frequency and Harmonic Evaluation Using Artificial Neural Networks.
Artificial Neural Network Applications in Digital Distance Relay.
Application of Artificial Neural Networks to Transient Stability Assessment.
Application of Neural Networks and Evolutionary Programming to Short-Term Load Forecasting.
Select Bibliography
Index.
