Optimal Water Scheduling in Bilavar Irrigation Network Using Genetic Algorithm

Proper operation of irrigation networks because of population growth and limited water resources is essential. The poor operational performance of irrigation systems is partly as a result of improper distribution of water to the tertiary units and branches. In this study¡ the genetic algorithm has used in order to determine the optimal schedule of water distribution in BLMC channel of Bilavar network¡ located in Kermanshah Province. The optimal schedule of water distribution was presented in the form of single purpose¡ including minimizing the difference between the delivery and required amount of water for each farm. Initially¡ the genetic algorithm parameters and operators impact on the objective function were studied using sensitivity analysis. Suitable values for number of generations¡ population size¡ crossover and mutation probability for optimizing water distribution was determined to be 250¡ 200¡ 90% and 1%¡ respectively. In case of every 24 hours on and off water pump¡ differences between delivered and needed volume of water for all farms in Bilavar network¡ during first 10 days of April and first week of May¡ were 28910 and 14130 cubic meters¡ respectively. In this study¡ some hydraulic performance indices for irrigation programs presented by operator and program prepared by genetic algorithm were calculated. Adequacy¡ efficiency and Equity Index in the entire network for irrigation programs offered by the operator company were 0.97¡ 0.76 and 0.076 and for program prepared by the genetic algorithm¡ 0.985¡ 0.99 and 0.01 respectively. Result indicatethat the program prepared by the genetic algorithm has better hydraulic performance parameters.