MAT JOURNALS
Published April 22, 2020 | Version v1
Journal article Restricted

Optimization Techniques and Algorithm Applied in the Field of Reservoir Operation– A Review

Authors/Creators

  • 1. M. Tech Scholar, Department of Civil Engineering, Shri Vaishanv Institute of Technology and Science (SVITS), SVVV, Indore, Madhya Pradesh, India
  • 2. Associate Professor and Head, Department of Civil Engineering, Shri Vaishanv Institute of Technology and Science (SVITS), SVVV, Indore, Madhya Pradesh, India
  • 3. Assistant Professor, Department of Civil Engineering, Shri Vaishanv Institute of Technology and Science (SVITS), SVVV, Indore, Madhya Pradesh, India

Description

Larger water reservoirs are used for frequent purposes, such as for irrigation, flood-control, water navigation and other flow parameter aims. Reservoirs may include natural water bodies such as rivers, lakes or man-made structures such as dams and weirs. Reservoir operation is often completed for contrary purposes. Due to large quantity of variables involved, the solution of the problem becomes difficult. The system dynamics is non-linear, the stochastic behaviour of forthcoming inflows, and further uncertainties involved in the system makes the operational policy complex. Supervision a reservoir operation system is problematic due to curse of dimensionalities, nonlinearities and conflicts between different purposes. The optimal operation of a reservoir system operation naturally involves optimization and recreation models which can transport the numerical information to upgrade operative water supervision. Different types of techniques are being used for reservoir operation, such as mixed integer linear programming dynamic programming, genetic algorithms, ant-colony optimization, fuzzy rule-based systems and other evolutionary algorithms. The present paper is a review of application of various optimization techniques applied to operate reservoir systems. Various algorithms have been applied to maximize the net benefit and optimize the Reservoir operation, but they have some limitations, the selection of appropriate model for deriving reservoir operating policies is difficult and more often there is a scope for further improvement as the choosing a particular model for reservoir operation depends upon the reservoir characteristics considered, availability of data, on the specified constraints and objectives. In the present paper, are attempt has been made to compare various optimizations Algorithm is compared with their Advantage and Limitation to find the best suited Algorithm for reservoir operation.

Files

Restricted

The record is publicly accessible, but files are restricted. Log in to check if you have access.

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

Permission required for access

You are currently not logged in. Do you have an account? Log in here

Additional details

References

  • Adeyemo, J. A. (2011), "Reservoir operation using multi-objective evolutionary algorithms-a review, Asian J. of Sci. Res., Volume 4, Issue 1, pp. 16-27, Available at: https://scialert.net/fulltextmobile/?doi=ajsr.2011.16.27.
  • Ahmad, A., El-Shafie, A., Razali, S. F. M. and Mohamad, Z. S. (2014), "Reservoir optimization in water resources: a review", Water res. Mngt., Volume 28, Issue 11, pp. 3391-3405, Available at: https://ideas.repec.org/a/spr/waterr/v28y2014i11p3391-3405.html.
  • Al-Jawad, J. Y. and Tanyimboh, T. (2017), "Assessment of evolutionary algorithm for reservoir operation", Water Utility J., Volume 15, pp. 45-51, Available at: https://www. ewra.net/wuj/pdf/WUJ_2017_15_04.pdf.
  • Anand, J., Gosain, A. K. and Khosa, R. (2018), "Optimisation of multipurpose reservoir operation by coupling Soil and Water Assessment Tool (SWAT) and genetic algorithm for optimal operating policy (Case Study: Ganga River Basin)", Sustainability, Volume 10, Issue 5, pp. 1-20, Available at: 325264890_Optimisation_of_Multipurpose_Reservoir_Operation_by_Coupling_Soil_and_Water_Assessment_Tool_SWAT_and_Genetic_Algorithm_for_Optimal_Operating_Policy_Case_Study_Ganga_River_Basin.
  • Bashiri-Atrabi, H., Qaderi, K., Rheinheimer, D. E. and Sharifi, E. (2015), "Application of harmony search algorithm to reservoir operation optimization", Water Res. Mngt., Volume 29, Issue 15, pp. 5729-5748, Available at: https://link.springer.com/article/ 10.1007/s11269-015-1143-3.
  • Braga, B., and Barbosa, P. S. (2001), "Multiobjective Real‐Time Reservoir Operation with A Network Flow Algorithm", Jawra J. of the American Water Res. Association, Volume 37, Issue 4, pp. 837-852, Available at: https://onlinelibrary. wiley.com/doi/10.1111/j.1752-1688.2001. tb05516.x.

Subjects

Civil Engineering
http://matjournals.com/Engineering-Journals.html