Volume 6, Issue 1 (March 2008)
IJCE 2008, 6(1): 34-47 |
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Afshar A, Zahraei S A, Marino M A. Cyclic storage design and operation optimization hybrid GA decomposition approach. IJCE 2008; 6 (1) :34-47
URL: http://ijce.iust.ac.ir/article-1-206-en.html
URL: http://ijce.iust.ac.ir/article-1-206-en.html
Abstract: (12634 Views)
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.
Type of Study: Research Paper |
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