Qin Leilei, Li Kefeng, Li Jia, Li Yong, Li Yong, Liang Ruifeng
Tuesday 30 june 2015
18:03 - 18:06h at Europe 1 & 2 (level 0)
Themes: (T) Hydro-environment, (ST) Ecohydraulics and ecohydrology, Poster pitches
Parallel session: Poster pitches: 7E. Engineering - Computional
The demand of water security is variable and variety in the short term optimal dispatching model, in order to solve the difficulty in quantitative description the demand and negotiate conflicts between water security requirements and economic benefits, this paper established a short term optimal dispatching by embedding water security adjustment factor S and the electricity generation adjustment factor E in impoundment period and Vague sets similarity measurement model was applied to describe the adjustment pattern that water security adjustment factor acts on flood, river shipping and fish habitat security. S was to unify quantifies river water security requirements and was determined by quantity of water security constraints and water flow, E was to coordinate the contradiction between water security requirements and cascade system electricity generation benefits. An improved intelligent optimization algorithm (IPSO-SA) was used to solve the optimal dispatching model which was embedded with S. IPSO-SA was combined the advantage of article swarm algorithm (PSO) and simulated annealing algorithm (SA). The algorithm have a better performance in solving high-dimensional, fuzzy, nonlinear and strong constraints short-term generation cascade optimization operation model which embeds S and E. The relevant scheduling for cascade short-term optimal dispatching can be obtained by the model. Short-term optimal dispatching of three cascades in the middle reach of Jialingjiang river is taken as example, considering water security requirements and adapting the fusion of the simulated annealing algorithm and particle swarm (IPSO-SA) during the impoundment period, to calculate cascade short term optimal scheduling scheme under the simulated condition, the application analysis results showed that, the short term optimal dispatching model embedded water security adjustment factor S and the electricity generation adjustment factor E is superior to the traditional model and worth to be recommended.