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Multiobjective control structure design / Vinay Kariwala in Industrial & engineering chemistry research, Vol. 51 N° 17 (Mai 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 17 (Mai 2012) . - pp. 6064–6070 Titre : Multiobjective control structure design : A branch and bound approach Type de document : texte imprimé Auteurs : Vinay Kariwala, Auteur ; Yi Cao, Auteur Année de publication : 2012 Article en page(s) : pp. 6064–6070 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Multiobjective  optimization Résumé : Control structure design traditionally involves two steps of selections, namely the selection of controlled and manipulated variables and the selection of pairings interconnecting these variables. The available criteria for both selections require enumeration of every alternative. Hence, an exhaustive search can be computationally forbidding for large-scale processes. On the other hand, owing to the computational complexity, variables and pairings are often selected sequentially, which may result in suboptimal control structures. In this paper, an efficient branch and bound (BAB) method is proposed to select the variables and pairings together in a multiobjective optimization framework. As an illustration of the proposed multiobjective BAB framework, the minimum singular value rule and the μ-interaction measure are used as the criteria for selection of controlled variables and pairings, respectively. Numerical tests using randomly generated matrices and the large-scale case study of hydrodealkylation of toluene (HDA) process show that the BAB method is able to reduce the solution time by several orders of magnitude in comparison with exhaustive search. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie201510c [article] Multiobjective control structure design : A branch and bound approach [texte imprimé] / Vinay Kariwala, Auteur ; Yi Cao, Auteur . - 2012 . - pp. 6064–6070. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 17 (Mai 2012) . - pp. 6064–6070 Mots-clés : Multiobjective  optimization Résumé : Control structure design traditionally involves two steps of selections, namely the selection of controlled and manipulated variables and the selection of pairings interconnecting these variables. The available criteria for both selections require enumeration of every alternative. Hence, an exhaustive search can be computationally forbidding for large-scale processes. On the other hand, owing to the computational complexity, variables and pairings are often selected sequentially, which may result in suboptimal control structures. In this paper, an efficient branch and bound (BAB) method is proposed to select the variables and pairings together in a multiobjective optimization framework. As an illustration of the proposed multiobjective BAB framework, the minimum singular value rule and the μ-interaction measure are used as the criteria for selection of controlled variables and pairings, respectively. Numerical tests using randomly generated matrices and the large-scale case study of hydrodealkylation of toluene (HDA) process show that the BAB method is able to reduce the solution time by several orders of magnitude in comparison with exhaustive search. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie201510c

Multistate wind energy conversion system models for adequacy assessment of generating systems incorporating wind energy / Billinton, R. in IEEE transactions on energy conversion, Vol. 23 N°1 (Mars 2008) 

Public ISBD [article]  in IEEE transactions on energy conversion > Vol. 23 N°1 (Mars 2008) . - pp. 163 - 170 Titre : Multistate wind energy conversion system models for adequacy assessment of generating systems incorporating wind energy Type de document : texte imprimé Auteurs : Billinton, R., Auteur ; Yi Cao, Auteur Année de publication : 2008 Article en page(s) : pp. 163 - 170 Note générale : Energy conversion Langues : Anglais (eng) Mots-clés : Monte  Carlo  methods;  power  system  reliability;  wind  power Résumé : Wind energy is considered to be a very promising alternative for power generation because of its tremendous environmental, social, and economic benefits. Electrical power generation from wind energy behaves quite differently from that of conventional sources. The fundamentally different operating characteristics of those facilities, therefore, affect the power system reliability in a manner different from that of the conventional systems. This paper is focused on the development of suitable models for wind energy conversion systems, in adequacy assessments of generating systems, using wind energy. These analytical models can be used in the conventional generating system adequacy assessment utilizing analytical or Monte Carlo state-sampling techniques. This paper shows that a five-state wind energy conversion system model can be used to provide a reasonable assessment of the practical power system adequacy studies, using an analytical method, or a state-sampling simulation approach. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4453976&sortType%3Das [...] [article] Multistate wind energy conversion system models for adequacy assessment of generating systems incorporating wind energy [texte imprimé] / Billinton, R., Auteur ; Yi Cao, Auteur . - 2008 . - pp. 163 - 170. Energy conversion Langues : Anglais (eng) in IEEE transactions on energy conversion > Vol. 23 N°1 (Mars 2008) . - pp. 163 - 170 Mots-clés : Monte  Carlo  methods;  power  system  reliability;  wind  power Résumé : Wind energy is considered to be a very promising alternative for power generation because of its tremendous environmental, social, and economic benefits. Electrical power generation from wind energy behaves quite differently from that of conventional sources. The fundamentally different operating characteristics of those facilities, therefore, affect the power system reliability in a manner different from that of the conventional systems. This paper is focused on the development of suitable models for wind energy conversion systems, in adequacy assessments of generating systems, using wind energy. These analytical models can be used in the conventional generating system adequacy assessment utilizing analytical or Monte Carlo state-sampling techniques. This paper shows that a five-state wind energy conversion system model can be used to provide a reasonable assessment of the practical power system adequacy studies, using an analytical method, or a state-sampling simulation approach. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4453976&sortType%3Das [...]