Optimal operation of reservoirs using Ant Colony Algorithm

Roozbeh Farokhzad¹ Babak Aminnejad²

1) Iran islamic azad University intenational of kish Email:
2) Department of Civil Engineering, Islamic Azad University roodehen, Iran Email: Department of Civil Engineering, Islamic Azad University kish International Branch, Iran

IOI Code : XYCZ-ABZZE
Publication : International Conference on Engineering and Applied Science(iceasconf.com)
Abstract :
    Different algorithms has been used to optimize decision making issues in water engineering field which among them, methods of linear programming, nonlinear programming, evolutionary and extra heuristic algorithms like ant colony, genetics, PSO … and as well as dynamic programming can be mentioned . Ant colony algoritm method is one of the methods which do not require the derived information from objective and constraints function for solving the optimization problems. The optimum dams reservoirs operation problem has been noticed by scholars for many years and because of this point, different optimization methods have been evaluated for finding the optimal solution of this issue. optimum dams reservoir operation especially for Dez dam, with considering the dynamic conditions (variable) for supplying the hydropower demand, has been noticed so little since now that it is done in this study by using dynamic optimization algorithm (Aco) with considering the whole time variation for Dez dam reservoir. In this study, the dynamic programming method with backward approach, is used to define the release amounts for optimizing the hydropower operation of Dez dam reservoir. Process of data analysis has been done by coding in MATLAB environment and also using the spreadsheet Softwares like Excel. To solve the reservoir hydropower operation problem, the stock amount at the end of period t is considered as the decision variable. According to the definition of problem, there is the possibility to change this variable in the range of (830-3340) million cubic meters. The accuracy of results and also the amount of objective function, depend to discretization method. According to this point, the most accurate answers of objective functional in discretization with range length 10 for periods of 5, 20 and 40 years, will be equal to (7.41, 20.78 and 45.7) million cubic meters respectively.

Keywords : the operation of the dam optimization dynamic programming aco ant colony