Titre :	Application of the discrete maximum principle to the short-term scheduling of a hydroelectric power system
Type de document :	texte imprimé
Auteurs :	Ahmed BENSALEM, Auteur
Année de publication :	1988
Langues :	Anglais (eng)
Catégories :	Electrotechnique
Mots-clés :	Hydroelectric power system  background  algorithms
Résumé :	The purpose of this study is to develop a general algorithm to solve in a robust, flexible and fast way the short-term scheduling problems of two different multi-reservoir hydroelectric power systems. The first system consists of four reservoirs in series, the second corresponds to that of the she Maurice river. The solution method is based on the discrete maximum principle. Gradient method is used for the solution of the to-point boundary value problem. Two algorithms are suggested for dealing with difficulties posed by the state variable constraints. The first uses the augmented lagrangian method, the second is iterative. Both algorithms give a satisfactory solution for the problem. However, the first requires more memory space than the second but converges more rapidly. The second algorithm has the advantage of executing an iteration in less CPU time. For large scale problems the second (iterative) algorithm option is recommended.
Directeur de thèse :	TURGEON Andre

Application of the discrete maximum principle to the short-term scheduling of a hydroelectric power system [texte imprimé] / Ahmed BENSALEM, Auteur . - 1988.
Langues : Anglais (eng)

Catégories :	Electrotechnique
Mots-clés :	Hydroelectric power system  background  algorithms
Résumé :	The purpose of this study is to develop a general algorithm to solve in a robust, flexible and fast way the short-term scheduling problems of two different multi-reservoir hydroelectric power systems. The first system consists of four reservoirs in series, the second corresponds to that of the she Maurice river. The solution method is based on the discrete maximum principle. Gradient method is used for the solution of the to-point boundary value problem. Two algorithms are suggested for dealing with difficulties posed by the state variable constraints. The first uses the augmented lagrangian method, the second is iterative. Both algorithms give a satisfactory solution for the problem. However, the first requires more memory space than the second but converges more rapidly. The second algorithm has the advantage of executing an iteration in less CPU time. For large scale problems the second (iterative) algorithm option is recommended.
Directeur de thèse :	TURGEON Andre