Cutting-edge research indicates that evolutionary programming isset to emerge as the dominant optimisation technique in thefast-changing power industry. Combining theory and practice,Intelligent System Applications in Power Engineering capitalises onthe potential of neural networks and evolutionary computation toresolve real-world power engineering problems such as loadforecasting, power system operation and planning optimisation.Unlike existing optimisation methods, these novel computationalintelligence techniques provide power utilities with innovativesolutions for improved performance. Features include:
* Introduction to evolutionary programming and neural networksserving as a foundation for later discussion of the benefits ofhybrid systems
* Practical application of evolutionary programming to reactivepower planning and dispatch for speedy, cost-effective increases intransmission capacity plus generator parameter estimation
* Examination of economic dispatch, power flow control in FACTS andco-generation scheduling and fault diagnosis for HVDC systems andtransformers
* Consideration of power frequency and harmonic evaluation tomaximise supply quality
* Employment of distance protection, faulty section estimation andcalculation of fault clearing time for transient stabilityassessment
Graduate students in electric power engineering will value Lai sbroad coverage of the applications of evolutionary programming andneural networks in the field. This unique reference will be a boonto engineers, computer application specialists, consultants andutility managers wishing to understand the benefits intelligentsystems can bring to the power industry.
Loi Lei Lai
Electrical & Electronics Engineering Elektrotechnik u. Elektronik Leistungselektronik Power Electronics
"It is apparent that most topics are well described, but some lackfair treatment...the book is designed better as a referencebook...which should help engineers and researchers appreciate therecent advances in this area." (Power Engineering Journal, February1999)
"This book describes ANNs and extensions...in a general way."(Aslib Book Guide, Vol. 64, No. 1, January 1999)
()