Reservoir Operating Policies Analysis by Using Genetic Algorithm

Shi Bao Zhang; Jie Wen

doi:10.4028/www.scientific.net/AMM.238.321

Paper Titles

Application of MIKE21 MODEL on Flood Routing in the Lower Yellow River from Gaocun to Sunkou
p.304

Analysis of Influence Factors of Irrigation Method in Detecting Compactness of Canal Bank
p.308

Numerical Simulation of Excavation of Abutment Slope at Left Bank in Dagangshan Hydropower Station
p.313

Application of High Pressure Jet Grouting Technology in Seepage Prevention of ChuLou Reservoir
p.317

Reservoir Operating Policies Analysis by Using Genetic Algorithm
p.321

Thermal Stress Analysis of Large Scale U-Shaped Aqueduct
p.325

Analysis on Axial Stresses of Crossbars on Aqueduct
p.329

Design Analysis of Shuangji River Drainage Aqueduct Body with Large Flow
p.333

Study on Lateral Dynamic Response of Pile Foundation in Liquefiable Soil by Using FBG Method
p.337

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 238Reservoir Operating Policies Analysis by Using...

Reservoir Operating Policies Analysis by Using Genetic Algorithm

Abstract:

The target of this paper is to look for the optimal program in reservoir operation by using Simple Genetic Algorithm and NSGA-Ⅱ (Non-Dominated Sorting Genetic Algorithm- II) in Matlab 2009a, and then make a comparison with the operation model’s operation results in MODSIM, which is a generic river basin management decision support system.

You might also be interested in these eBooks

Innovation in Civil Engineering, Architecture and Sustainable Infrastructure

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 238)

Pages:

321-324

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.238.321

Citation:

Cite this paper

Online since:

November 2012

Authors:

Shi Bao Zhang, Jie Wen

Keywords:

Multi-Objective Optimization (MOP), NSGA-II, Optimal Operation, Water Resource

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] John W. Labadie, MODSIM decision support system for integrated river basin management, Colorado State University, 1999.

Google Scholar

[2] A. Augugliaro, L. Dusonchet, E. Riva Sanseverino, Evolving non-dominated solutions in multi-objective service restoration for automated distribution networks, Electric Power Systems Research, 59 (2001) 185–195.

DOI: 10.1016/s0378-7796(01)00159-6

Google Scholar

[3] V. Jothiprakash, S. Ganesan, Single reservoir operating policies using genetic algorithm, Water Resources Management, 20 (2006) 917–929.

DOI: 10.1007/s11269-005-9014-y

Google Scholar

[4] A. Augugliaro, L. Dusonchet, M. G. Ippolito, E. Riva Sanseverino, Multiobjective design of distributed reactive power production in a deregulated electric market, Electrical Power and Energy Systems, 27 (2005) 205–214

DOI: 10.1016/j.ijepes.2004.11.001

Google Scholar

[5] X. Jin, J. Zhang, J. Gao, W. Wu, Multi-objective optimization of water supply network rehabilitation with non-dominated sorting genetic algorithm-II, Zhejiang Univ. Sci., A3 (2008) 391-400.

DOI: 10.1631/jzus.a071448

Google Scholar

[6] J. M. Ngundam, F. Kenfack, T. T. Tatietse, Optimal scheduling of large-scale hydrothermal power systems using the Lagrangian relaxation technique, Electrical Power and Energy Systems, 22 (2000) 237–245.

DOI: 10.1016/s0142-0615(99)00054-x

Google Scholar