Elahe Fallah Mehdipour, Omid Bozorg Haddad
Tuesday 30 june 2015
17:30 - 17:33h at Europe 1 & 2 (level 0)
Themes: (T) Water engineering, (ST) Computational methods, Poster pitches
Parallel session: Poster pitches: 7E. Engineering - Computional
Hydropower dam is a water structure that balance water storage to generate energy with storing water at wet periods and release it other periods. Commonly, to real time operation, some strategies called rule curves apply for enhancing hydropower efficiency. There are some optimization tools such as genetic algorithm (GA) to find best rule curves. These rules present the inflow, storage volume and release water in each period in a linear equation as the rule curve. In this paper, genetic programming (GP) as an optimization tool has been applied to find appropriate rule curve which is function of dam variables and has no predefined pattern. The performance of extracted rule curves by GA and GP has been compared in Bazoft dam where is a hydropower dam in Iran. Results show that the obtained objective function is enhanced significantly using GP.