Optimal Operating Reservoir using Flower Pollination Algorithms for Single Reservoir

Abstract

Reservoir operation requires optimal rule curves, for controlling amount of store water and release to downstream. This research proposes the application of the Flower Pollination Algorithm (FPA) technique with reservoir simulation model for finding the optimal rule curves. The objective functions of search process were minimum average water deficit and minimum average excess water. This study considered physical and hydrological information of the Huay Sabag, Huay Ling Jone and Num Oon reservoirs in the northeast region of Thailand as the case study. The historic monthly inflow, future monthly inflow data and 1,000 samples of synthetic inflow were used to create and to evaluate the efficiency of the new obtained rule curves that present in situations of water deficit and excess water. The results found that the patterns of new rule curve were different from the current rule curves. The results also present that the new rule curves from FPA can alleviate flood situations more than the current rule curves. Whereas, the situations of water shortage of the new obtained rule curve were slightly less than the current rule curves.