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This study presents the application of a Genetic Algorithm (GA) model developed for computation of the optimal supply hydrographs in on demand irrigation systems aimed at the optimal regulation of the upstream storage reservoirs. The model was applied to an Italian irrigation scheme whe re the optimal inflows to five reservoirs were computed. The obtained result is characteris ed by two inflow values. In addition, the maximum discharge supplied by the upstream dam was redu ced by 10.65 %, and the maximum violation of reservoirs water levels was reduced to acceptable values. The optimal solution guarantees to satisfy the daily demand requirements, to minimize the maximum discharge delivered by the upstream dam, and to avoi d the reservoirs emptiness. In addition, the on- demand delivery schedule according to the actual demand hydrograph recorded downstream the reservoirs may be applied also during the peak period

Use of the Genetic Algorithm for the Optimal Operation of Multi-Reservoirs on Demand Irrigation System / O. Gharsallah, F. Lebdi, I. Nouiri, N. Lamaddalena. - In: OPTIONS MÉDITERRANÉENNES. SÉRIE B: ÉTUDES ET RECHERCHES. - ISSN 1016-1228. - 56:11(2007), pp. 217-227. (Intervento presentato al convegno WASAMED tenutosi a IAM BARI nel 2007).

Use of the Genetic Algorithm for the Optimal Operation of Multi-Reservoirs on Demand Irrigation System

O. Gharsallah
Primo
;
2007

Abstract

This study presents the application of a Genetic Algorithm (GA) model developed for computation of the optimal supply hydrographs in on demand irrigation systems aimed at the optimal regulation of the upstream storage reservoirs. The model was applied to an Italian irrigation scheme whe re the optimal inflows to five reservoirs were computed. The obtained result is characteris ed by two inflow values. In addition, the maximum discharge supplied by the upstream dam was redu ced by 10.65 %, and the maximum violation of reservoirs water levels was reduced to acceptable values. The optimal solution guarantees to satisfy the daily demand requirements, to minimize the maximum discharge delivered by the upstream dam, and to avoi d the reservoirs emptiness. In addition, the on- demand delivery schedule according to the actual demand hydrograph recorded downstream the reservoirs may be applied also during the peak period
Cette Ètude prÈsente líapplication díun Algorithme GÈnÈ tique (AG) dÈveloppÈ pour le calcul des hydrogrammes d'approvisionnement optimaux dans les systËmes díirrigation ‡ la demande visÈ pour la rÈgulation optimale des rÈservoirs de stockage. Le modËle a ÈtÈ appliquÈ pour un rÈseau díirrigation italien o ̆ les apports optimaux ‡ cinq rÈservoirs ont ÈtÈ calculÈs. Le rÈsultat obtenu est caractÈris È par deux valeurs díapports. En addition, le dÈbit maximal fourni par le barrage en amont a ÈtÈ rÈduit par 10.65 %, et les violations maximales des niveaux d'eau de rÈservoirs ont ÈtÈ rÈduites ‡ des valeurs accepta bles. La solution optimale garantit de satisfaire les besoins jou rnaliers, de minimiser le dÈbit maximal de barrage en amont et díÈviter la vidange des rÈse rvoirs. En outre, la livraison ‡ la demande selon l'hydrogramme de la demande actuelle enregistrÈe en aval des rÈservoirs peut-Ítre Ègalement appliquÈs pendant la pÈriode de pointe.
Optimisation ; Genetic Algorithm ; Reservoir Regulation ; On-demand irrigation
Settore AGR/08 - Idraulica Agraria e Sistemazioni Idraulico-Forestali
2007
Article (author)
01 - Articolo su periodico
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/224973
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