Cyclic storage design and operation optimization; hybrid GA decomposition approach

In a large scale cyclic storage system ,as the number of rule parameters and/or number of operating period increase, general purpose gradient-based nlp solvers and/or genetic algorithms may loose their merits in finding optimally feasible solution to the problem. in these cases hybrid ga which decomposes the main problem into two manageable sub-problems with an iterative scheme between ga and lp solvers may be considered as a sound alternative this research develops a hybrid ga-lp algorithm to optimally design and operate a nonlinear, non-convex, and large scale lumped cyclic storage system. for optimal operation of the system a set of operating rules are derived for joint utilization of surface and groundwater storage capacities to meet a predefined demand with minimal construction and operation cost over a 20 seasonal planning period. performance of the proposed model is compared with a non-cyclic storage system. the management model minimizes the present value of the design and operation cost of the cyclic and non-cyclic systems under specified and governing constraints, employing the developed ga-lp hybrid model. results show that cyclic storage dominates non-cyclic storage system both in cost and operation flexibility.