Articles liés à Thermal Generation Dispatch and Unit Commitment: Modeling...

Thermal Generation Dispatch and Unit Commitment: Modeling and Optimization - Couverture souple

Kamh, Mohamed Z.; Abdelaziz, Almoataz Y.; Mekhamer, Said F.

 
9783659396359: Thermal Generation Dispatch and Unit Commitment: Modeling and Optimization
Couverture souple
ISBN 10 : 3659396354 ISBN 13 : 9783659396359
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

Thermal generation scheduling is considered as one of the most important power system operational planning problems. The scheduling problem consists of two main parts; the economic dispatch problem and the unit commitment problem (UCP). The former belongs to nonlinear programming problems while the later is a combinatorial optimization problem. Dynamic economic dispatch problem (DEDP) is a special type of the generation scheduling problem in which all the units are considered online during the entire scheduling horizon. In this book, Hopfield Neural Network (HNN) is applied to solve the generation scheduling and the DEDP. A detailed study of the effect of the HNN parameters on the solution quality of EDP including transmission losses is made. The most appropriate values of the parameters are tuned. A new algorithm is proposed to eliminate the gap between the solution obtained by HNN and the actual solution. Three software packages are developed under the MATLAB® platform to solve EDP, ramp rate constrained DEDP and UCP. To demonstrate the effectiveness of the proposed algorithms and enhancements, several test systems reported in literature, with different complexities, are solved.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Thermal generation scheduling is considered as one of the most important power system operational planning problems. The scheduling problem consists of two main parts; the economic dispatch problem and the unit commitment problem (UCP). The former belongs to nonlinear programming problems while the later is a combinatorial optimization problem. Dynamic economic dispatch problem (DEDP) is a special type of the generation scheduling problem in which all the units are considered online during the entire scheduling horizon. In this book, Hopfield Neural Network (HNN) is applied to solve the generation scheduling and the DEDP. A detailed study of the effect of the HNN parameters on the solution quality of EDP including transmission losses is made. The most appropriate values of the parameters are tuned. A new algorithm is proposed to eliminate the gap between the solution obtained by HNN and the actual solution. Three software packages are developed under the MATLAB® platform to solve EDP, ramp rate constrained DEDP and UCP. To demonstrate the effectiveness of the proposed algorithms and enhancements, several test systems reported in literature, with different complexities, are solved.

Biographie de l'auteur

Dr. Kamh is a power systems consultant and a visiting scientist at University of Toronto, Canada. He obtained his B.Sc. (Honors) and M.Sc. degrees from Ain Shams University and Ph.D. degree (2011) from University of Toronto, all in electrical power engineering. He is professional engineer in Ontario and an IEEE member.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2013
Langue
anglais
ISBN 10 
3659396354
ISBN 13 
9783659396359
Reliure
Broché
Nombre de pages
120
Coordonnées du fabricant
non disponible
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