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Paper Information

Journal:   IRAN-WATER RESOURCES RESEARCH   FALL 2005 , Volume 1 , Number 3; Page(s) 16 To 28.
 
Paper: 

A PRIMAL-DUAL ALGORITHM FOR OPTIMAL OPERATION OF MULTI-RESERVOIR SYSTEMS

 
 
Author(s):  SHOKRVAND MOGHADAM K., SEYFI ABAS, MOUSAVI SEYED JAMSHID
 
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Abstract: 

A Long-term planning model is presented in this study optimizing Karoon-Dez reservoir system operation m Iran with hydropower generation, water supply, and environmental objectives. The matrix implementation of the large-scale resulting optimization model has been solved using dual-primal interior-point methods (DPIPMs) and multiobjective programming. These algorithms have shown to be promising especially when they take the advantage of sparsity structure of associated matrix formulation of the optimization problem with linear and quadratic functions. The computational time required for solving the Karoon-Dez reservoir system studied was less than 45 minutes. This is promising especially knowing that handling such an optimization model is very difficult using other techniques such as generalized reduced gradient (GRG) algorithm of nonlinear programming and discrete dynamic programming with adequate fine representation of state variables of the model.

 
Keyword(s): OPTIMIZATION, MULTI-RESERVOIR, SYSTEMS, INTERIOR-POINT METHODS
 
 
References: 
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Citations: 
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APA: Copy

SHOKRVAND MOGHADAM, K., & SEYFI, A., & MOUSAVI, S. (2005). A PRIMAL-DUAL ALGORITHM FOR OPTIMAL OPERATION OF MULTI-RESERVOIR SYSTEMS. IRAN-WATER RESOURCES RESEARCH, 1(3), 16-28. https://www.sid.ir/en/journal/ViewPaper.aspx?id=103139



Vancouver: Copy

SHOKRVAND MOGHADAM K., SEYFI ABAS, MOUSAVI SEYED JAMSHID. A PRIMAL-DUAL ALGORITHM FOR OPTIMAL OPERATION OF MULTI-RESERVOIR SYSTEMS. IRAN-WATER RESOURCES RESEARCH. 2005 [cited 2021June14];1(3):16-28. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=103139



IEEE: Copy

SHOKRVAND MOGHADAM, K., SEYFI, A., MOUSAVI, S., 2005. A PRIMAL-DUAL ALGORITHM FOR OPTIMAL OPERATION OF MULTI-RESERVOIR SYSTEMS. IRAN-WATER RESOURCES RESEARCH, [online] 1(3), pp.16-28. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=103139.



 
 
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