%0 Journal Article
%T Optimization of Hedging Rules for Hydropower Reservoir Operation
%J Scientia Iranica
%I Sharif University of Technology
%Z 1026-3098
%A Sasireka, K.
%A Neelakantan, T.R.
%D 2017
%\ 10/01/2017
%V 24
%N 5
%P 2242-2252
%! Optimization of Hedging Rules for Hydropower Reservoir Operation
%K Hedging rule
%K reservoir operation
%K hydropower
%K optimization
%K Genetic Algorithm
%K artificial bee colony algorithm
%K imperialistic competitive algorithm
%R 10.24200/sci.2017.4153
%X Reservoir operation plays an important role in economic development of a region. Hedging operations were used for municipal, industrial and irrigation water supplies from reservoirs in the past. However, hedging operation for hydropower reservoir operation is very rare. Practically simple and useful new form of Standard Operation Policy and new form of hedging rules for hydropower production are introduced in this paper and demonstrated with a case study for hydropower reservoir operation of Indirasagar reservoir system in India. The performances of optimal hedging rules were compared with that of a new standard operation policies and the superiority (reliability increases by about 10%) of the hedging rules are presented. When the number of decision variables is increased from 5 to 15, the energy production is increased by 0.7 %, the spill is reduced by 16.8 % while the reliablity is decreasing slightly by 2.1 %. A bi-level simulation-optimization algorithm was used for optimizing the hedging rules. For optimization, Genetic Algorithm, artificial bee colony algorithm and imperialistic competitive algorithms were attempted. The results indicate that all the three algorithms are competitive and artificial bee colony algorithm is marginally better than the other two.
%U http://scientiairanica.sharif.edu/article_4153_4c2bd3ed32b21bdf1c8ad02f6b135a07.pdf