Development of particle swarm optimization algorithm for optimal multiple reservoir operation (case study: Dez dam)

Due to the limitation of quantity and quality of water resources, the occurrence of long droughts and increasing of populations, construction of multi-objective reservoirs and optimal operation of these reservoirs is very important.In this research, the optimal operation of the Dez dam with multi-objective of supply agricultural and potable water, environment, flood control and electrical power generation is investigated. For this purpose, the particle swarm optimization (PSO) algorithm is modified and the new mutated algorithm (DMPSO) is developed. Then the proposed method (DMPSO) is applied for optimal operation of the multiple Dez reservoir. The results of this research are compared with PSO and standard operation Procedure (SOP). The results show that DMPSO algorithm has the best distribution of monthly release to have less shortage in comparison with PSO and SOP. The annual shortage ratio for PSO, DMPSO and SOP are 28%, 25%, 47% respectively, which represent the high-capability of DMPSO in optimal operation of reservoirs.