Application Of A New Nonlinear Economic Dispatch algorithm Of Optimization in a Large-scale Electrical Network / Mohamed Bakli

Public ISBD Titre : Application Of A New Nonlinear Economic Dispatch algorithm Of Optimization in a Large-scale Electrical Network Type de document : texte manuscrit Auteurs : Mohamed Bakli, Auteur ; Saliha Chettih, Directeur de thèse Editeur : Laghouat : Université Amar Telidji - Faculté de technologie Année de publication : 2020 Importance : 75 p. Format : 30 cm. Accompagnement : +1 CD ROM Optique Némérique Note générale : Electrical Engineering Langues : Anglais Résumé : Economic dispatch (ED) is one of the important optimization problems in power systems; it is characterized by high non-convexity, non-linearity and discontinuity. Both of valve point (VP) effect and multiple fuel (MF) generators make the problem more difficult. Traditional ED algorithms stuck one treating this specific kind of problems; it converges to locale optimal rather than global optimal solution. Therefore studies in this field turned to a new pattern to solve a high non-convexity, non-linearity of cost function. In this study we will implement using MATLAB a modern metaheuristic algorithm of optimization called krill herd inspired from a herding behavior of a sea animal named krill in three different large-scale networks, both theoretical and practical side aspects are introduced in this thesis. The results show that KH approach produces higher quality and best solutions of the overall optimality with many advantages compared with other metaheuristic algorithms proven the best till nowadays especially for solving large-scale ED problems with multiple fuel options. note de thèses : Memoire de Master Application Of A New Nonlinear Economic Dispatch algorithm Of Optimization in a Large-scale Electrical Network [texte manuscrit] / Mohamed Bakli, Auteur ; Saliha Chettih, Directeur de thèse . - Laghouat : Université Amar Telidji - Faculté de technologie, 2020 . - 75 p. ; 30 cm. + +1 CD ROM Optique Némérique. Electrical Engineering Langues : Anglais Résumé : Economic dispatch (ED) is one of the important optimization problems in power systems; it is characterized by high non-convexity, non-linearity and discontinuity. Both of valve point (VP) effect and multiple fuel (MF) generators make the problem more difficult. Traditional ED algorithms stuck one treating this specific kind of problems; it converges to locale optimal rather than global optimal solution. Therefore studies in this field turned to a new pattern to solve a high non-convexity, non-linearity of cost function. In this study we will implement using MATLAB a modern metaheuristic algorithm of optimization called krill herd inspired from a herding behavior of a sea animal named krill in three different large-scale networks, both theoretical and practical side aspects are introduced in this thesis. The results show that KH approach produces higher quality and best solutions of the overall optimality with many advantages compared with other metaheuristic algorithms proven the best till nowadays especially for solving large-scale ED problems with multiple fuel options. note de thèses : Memoire de Master

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
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