Optimizing Dams and Ppower plants Design Parameters by Using Systematic Approach and Ant Colony Optimization Algorithm, Case Study: Karkheh Catchment

Usually dam design and operation study is done by developing single reservoir simulation model. In this approach, the aim is to maximize net benefit of dam independently. On the other hand, the effect of dam on other elements of catchment is not considered. While, in catchment studies, due to existence several dams which affect each other and numerous stakeholders, it is necessary to consider all the catchment integrally (systematic approach). There are different models for simulating catchments elements. which cannot design and determine the optimum value of parameters, alone. In this regard, using an optimization process can be helpful. By considering the fact that results from systematic and single reservoir approach may be different , in this study an integrated optimization model is developed for determining design parameter of a group of dams. The case study is Karkheh catchment in southwest of Iran. This catchment has lots of under study dams with different purposes especially hydropower production. Regarding multiplicity of decision variables and non-convex and nonlinear equations, metaheuristic algorithms are more practical than mathematical-based methods. The developed model includes three modules: an optimization module (using Ant Colony Optimization (ACO) algorithm), a reservoir operation simulation module and an economic module. In this model, objective function is to maximize total net benefit of system. Dams operation levels, installed capacity of power plants and the firm irrigated area are decision variables. Two main scenarios are studied concerning existence or non existence of upstream catchment projects (mainly non-hydropower).Results show that although these projects provide some benefits in upstream, they reduce energy production, firm irrigated area and so downstream benefit which much more affect the overall net benefit of the catchment. Also, a comparison is done between single reservoir and systematic approach. HigherMOLs are selected for dams in single reservoir approach.

کلیدواژه ها:

systematic approach ، metaheuristic algorithm ، Ant Colony Optimization algorithm ، system net benefit ، Karkheh catchment