Showing 3 results for Icss
S.a. Mohseni Movahed, M.j. Monem,
Volume 11, Issue 40 (7-2007)
Abstract
Poor performance of irrigation canals and its effect on decreasing of Agricultural water productivity require attention for their improvement. In this paper a new mathematical model is introduced which could present optimal operation considering downstream requirements of turnouts, canal inlet flow, actual constraints and real conditions of canal system. Four performance indicators of delivery including efficiency, adequacy, equity and stability are considered as an objective function in the process of optimization. Since this objective function is an implicit function of decision variables (regulation of turnouts and control structures) and hydraulic parameters, it is necessary to implement hydrodynamic model, using numerical optimization methods. SA (Simulated Annealing) technique is a numerical
meta – heuristic intelligent search method which is used in combination with a hydrodynamic model (ICSS) (Irrigation Conveyance System Simulation.) for performance optimization of canal system. Theoretically it is proven that SA technique is capable of tending towards global optimum solution asymtotically. Taking short random steps in SA algorithm guarantees avoiding instability in hydrodynamic model. The developed model has been applied on E1R1 Distributary canal of Dez irrigation network for ten days. The results indicated that optimal performance improved very well in comparison with the present situation.In this model the weighting coefficients of indicators are determined using sensitivity analysis in optimization process. Consistency test on the derived coefficients shows that proposed method is appropriate. Applying weighting coefficients for performance indicators in the processes of optimization has resulted in 7 to 21 percent improvement compared to the case of equall weighting coefficients. Also, the results indicate that the developed model (ICSS-DOM) (ICSS-Delivery Optimization Model) is an efficient tool for the evaluation and optimization of irrigation canal performance, producing good and valid results in a relatively short and suitable time.
M. J. Monem , S. P. Ahmadpanah1 ,
Volume 16, Issue 61 (10-2012)
Abstract
There are different automatic downstream control algorithms developed to increase the flexibility of the irrigation system. CARDD control logic is one of the heuristic and distance automatic downstream control systems. In this research, mathematical model of the CARDD control logic coordinated with ICSS hydrodynamic model was developed and the CARDD control logic was tested and evaluated under different situations. In order to evaluate the performance of this control algorithm, one of the canals suggested by ASCE (canal number 2) was used. The CARDD control algorithm was tested under the operational scenarios suggested by ASCE in which the control algorithm was evaluated by intense and gradual flow changes in a newly constructed (tuned) canal. Performance indicators were calculated and analysed. In the case of gradual flow changes, the maximum diversion of the water depth from the target was about 5% and was always in permitted range. In intense flow changes, the maximum diversion of the water depth from the target was about 8% and it was recovered in about 1 hour, which is a considerable time. The charts showing the variation of water depth at each turnout and the calculated performance indicators showed the satisfactory performance of CARDD control algorithm in gradual flow changes. In intense flow changes, although the maximum variation of the water depth was limited, the system response time was relatively long.
Mohseni Movahed S. A.,
Volume 20, Issue 76 (8-2016)
Abstract
In the ICSSDOM simulation-optimization model, simulated annealing algorithm is combined with a hydrodynamic simulation model named ICSS. In this model the ability of weighting of indicators is also considered. In this study, using this model the performance of the S-L-R5 canal in the DEZ irrigation network was evaluated in a period of 10 days. With presenting a proposed method for weighting the indicators and its various options, using parametric sensitivity analysis, optimal adjustment of intake and check structures was obtained. It was found if the coefficient of each index is selected as a direct ratio of the ideal improvement potential of the indicator, the percentage of the improvement is more than the other investigated options. In addition, due to the interaction of the indicators in the multi-objective functions, the consistency of the weighting method with the nature of the optimization problem in this study has been shown. Statistically, the adequacy of the 10-day period of study was confirmed. The model validation with mathematical asymptote method shows 6% error which indicates the model is valid. For example, on the first day, based on the option three (The optimal option), the optimal gate opening for 5 intakes and one check control was between 3.9 to 14.7 Cm. In this condition optimal delivery was between 46 to 178 liters per second.
