Sensitivity analysis of penalty function parameters in  operating optimization models of multi-purpose tanks

Ali Mohammadi, S.; Ali Moradi, F.; Jabbari, E.

doi:10.22061/tej.2007.1278

Document Type : Original Research Paper

Authors

¹ Shahid Abbaspour University of Water and Power Engineering,Tehran,Iran

² Islamic Azad University, Chalous Branch,Mazandaran,Iran

³ Faculty of Civil Engineering, Iran University of Science and Technology,Tehran,Iran

https://doi.org/10.22061/tej.2007.1278

Abstract

One of the most important pillars of optimized multi-purpose reservoir optimization models is the definition of a penalty or loss function. Due to the variety of operating goals and the complexity of the system, they often use alternative functions instead of using profit and cost functions, which only consider certain goals. These functions are the sum of several expressions that reflect the penalty or damages corresponding to the deviation from the desired values (needs). In this case, one of the most important steps in developing an optimization model is to determine the coefficients and capabilities (parameters) of these functions. This paper uses a dynamic stochastic programming (SDP) model to optimize the operation of a multi-purpose tank. With the help of this model, the parameters of the damage function have been evaluated through sensitivity analysis. For this purpose, the criteria of reliability, reversibility, and vulnerability have been used. Studies show that these parameters are much more sensitive to changes in the power of functions than the coefficients of functions.

Keywords

20.1001.1.20080441.1386.1.4.5.8

Main Subjects

Architecture

References

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Technology of Education Journal (TEJ)

Sensitivity analysis of penalty function parameters in operating optimization models of multi-purpose tanks

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Volume 1, Issue 4 - Serial Number 4
October 2007
Pages 265-273

Sensitivity analysis of penalty function parameters in operating optimization models of multi-purpose tanks

References

References

Send comment about this article

Volume 1, Issue 4 - Serial Number 4October 2007Pages 265-273

Volume 1, Issue 4 - Serial Number 4
October 2007
Pages 265-273