Reservoir Real-Time Optimization Operation Model Based on PSO

Yan Fang Diao; Jie Dong; Gang Wang; Na Yao; Fan Ye

doi:10.4028/www.scientific.net/AMR.518-523.3676

Paper Titles

Impact of the Three Gorges Reservoir Flood Prevention Dispatching Tohydrologic Information and Disaster Information in Dongting Lake Area
p.3652

Improved Unsteady Water Quality Model for Plain River Network and its Application
p.3662

Research the Effect of Roughness on the Distribution Overland Runoff Simulation
p.3668

The Design of Water Saving System for College Dorms
p.3672

Reservoir Real-Time Optimization Operation Model Based on PSO
p.3676

A Model for Characterizing the Process of Activated Sludge Compression Settling
p.3680

Evaluation of Flocs Size inside the Blanket Clarifier
p.3687

Experiment Study on the Treatment of Arsenic Drinking Water in Integrated Efficient-Whirling Clarifier
p.3691

Experimental Analysis on Desalinization of Brackish Water by Reverse Osmosis
p.3695

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 518-523Reservoir Real-Time Optimization Operation Model...

Reservoir Real-Time Optimization Operation Model Based on PSO

Abstract:

The reservoir real-time operation is a cyclic process of forcast-decision making-implementation, in which the key issue is to confirm discharges quickly and exactly. In order to solve this issue, a reservoir real-time optimization operation model based on Particle Swarm Optimization (PSO) is proposed and the real-time operation procedure is illustrated in this paper. Taking the flood hydrograph 19750729 of Huanren reservoir as an example, discharges calculated by the real-time optimization operation model are compared with those calculated by conventional operation. It could be seen that the running speed of the real-time optimization operation model is quickly, discharges are uniform and reduced under the safety of dam, and the benefit is improved. Therefore, this model is reasonable and feasible.

You might also be interested in these eBooks

Advances in Environmental Science and Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 518-523)

Pages:

3676-3679

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.518-523.3676

Citation:

Cite this paper

Online since:

May 2012

Authors:

Yan Fang Diao, Jie Dong, Gang Wang, Na Yao, Fan Ye

Keywords:

Huanren Reservoir, Particle Swarm Optimization Algorithm (PSO), Real-Time Optimization Operation Model

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Zhao Mingyan, Cheng Chuntian, Li Gang. The Present State-of-the Art in the Optimum Scheduling of Multi-Reservoir Systems. Hydrology Vol. 25 (6): pp.18-23 (2005). (In Chinese)

Google Scholar

[2] Kennedy J, Eberhart R. in: Proceedings of IEEE International Conference on Neural Networks, Perth, Australia. Particle swarm optimization, pp.1942-1948(1995).

Google Scholar

[3] He Ji, Hu Xilin, Qiu Lin, et al. Application of Particle Swarm Optimization in Reservoir Regulation. Journal of Zhongzhou Nuiversity, Vol. 24 (1): pp.110-111(2007). (In Chinese)

Google Scholar

[4] Zhang Shuanghu, Huang Qiang, Wu Hongshou, et al. A modified particle swarm optimizer for optimal operation of hydropower station. Journal of Hydroelectric Engineering, Vol. 26(1): pp.1-5(2007). (In Chinese)

Google Scholar

[5] National strength and electric power eevelopment Co. of Huanren power plant. The Handbook of cascade reservoir operation[M]. Liaoning Province. (2005.8) (In Chinese)

Google Scholar