Metaheuristic algorithms for optimization of reservoir operations on Ravishankar Sagar reservoir

ABSTRACT

Reservoir operations involve determining the quantity of water to be released or stored from the reservoir at any given time, based on the reservoir’s current condition. This research presents optimizing techniques for reservoir operating policies on Ravishankar Sagar reservoir during monsoon season. Metaheuristics algorithms – GA, NSGA II, NSGA III, and Eps MOEA were used to optimize the objective function for maximization of storage along with a different set of constraints in Ravishankarsagar reservoir. Sensitivity analysis on all algorithms was performed to calibrate different evaluation parameters. The results were analyzed to find the effectiveness of soft computing algorithms in real-world problems. The standard deviation of 359.52, 351.93,349.68 and 361.09 and Median of 512.5, 525.36,568.96 and 433.79 was observed in GA, NSGA II, Eps MOEA, and NSGA IIII so all the algorithms performed well and were in close approximation, with the least standard deviation and the most optimum storage in Eps MOEA.

KEYWORDS:

• Eps MOEA
• flood control
• NSGA II
• NSGA III
• reservoir operations
• sensitivity analysis

Acknowledgements

The authors would like to acknowledge the Centre for Development of Advanced Computing (CDAC) Pune, Ministry of Information Technology (MeitY), and Center Water Commission (CWC), for providing the data and financial support to this research work. Further, the Authors would also like to thank Prof. Mohit Kumar, Dr. Rajesh K Bhatia, and Dr. Sanjay Batish, and for their invaluable guidance and support.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Author contributions

Conceptualization Rajan Dabral; Methodology Rajan Dabral.; Software, Rajan Dabral; Validation Rajan Dabral and Har Amrit Singh Sandhu.; Formal analysis, Claudia Cherubini.; Investigation Har Amrit Singh Sandhu.; Resources Rajan Dabral and Har Amrit Singh Sandhu.; Data curation Rajan Dabral and Har Amrit Singh Sandhu.; Writing – original draft preparation, Rajan Dabral; Writing – Rajan Dabral and Har Amrit Singh Sandhu.; Claudia Cherubini; supervision Har Amrit Singh Sandhu.; project administration Har Amrit Singh Sandhu and Rajan Dabral.; funding acquisition Har Amrit Singh Sandhu. All authors have read and agreed to the published version of the manuscript”..