TY  - JOUR
T1  - Improvement of Reservoir Rule Curves using Grey Wolf Optimizer
AU - Kangrang, Anongrit AU - Sinthuchai, Natpitak 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 24
SP  - 9847
EP  - 9856
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.9847.9856
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.9847.9856
KW  - Reservoir rule curves
KW  -optimization techniques
KW  -grey wolf optimizer
KW  -reservoir operation
KW  -frequency
KW  -objective functions
AB  - The purpose of this research was to apply the optimization method by the specific technique of Grey
Wolf Optimizer (GWO) cooperating with the reservoir simulation model in order to improve the rule curves of
reservoirs. The minimal average water shortage, the minimal average excess water, the minimal frequency of
water shortages, the minimal frequency of excess water were used as the objective functions for searching
procedure. This study considered the monthly data of reservoir rule curves from the Ubolratana reservoir, Khon
Kaen Province, the Lampao reservoir, Kalasin Province and the Nam Oon reservoir, Sakon Nakhon Province
as the case studies. Moreover, this study synthesized 1,000 samples of inflow data in order to evaluate the
efficiency of new rule curves from the proposed model. The results were displayed the situations of water
shortage and excess water in term of frequency, duration time, average water quantity and the highest water
quantity. The results shown that four objective functions above can produce new rule curves which their
physicals were similar to the current ones for all reservoirs due to the influences of seasonal inflow and the
same operation conditions. The results after testing the new rule curves compared with the current ones show
that the new rule curves improved by the objective function of minimal average water shortage can mitigate
excess water and water shortage situations better than other rule curves produced by other objective functions
and also better than current rule curves for all reservoirs. The results can conclude that GWO with the objective
function of minimal average water shortage connecting with reservoir simulation model has more efficiency to
search optimal rule curves.
ER  -