Title: Optimal operation of the multi-reservoir system: a comparative study of robust metaheuristic algorithms

Authors: Shashikant Verma; A.D. Prasad; Mani Kant Verma

Addresses: Civil Engineering Department, National Institute of Technology – Raipur, Great-Eastern Road, Raipur, Chhattisgarh, 492010, India ' Civil Engineering Department, National Institute of Technology – Raipur, Great-Eastern Road, Raipur, Chhattisgarh, 492010, India ' Civil Engineering Department, National Institute of Technology – Raipur, Great-Eastern Road, Raipur, Chhattisgarh, 492010, India

Abstract: In a multi-reservoir system, the functioning of one reservoir affects the other reservoirs. A multi-reservoir system must be managed as a single entity for sustainable water management. Thus, assessing a multi-reservoir system's existing operating policy is crucial for integrated operation. In this study, the recently introduced grey wolf optimisation (GWO) was compared to the robust metaheuristic algorithm the whale optimisation algorithm (WOA). First, the performance of these algorithms was evaluated and compared for multi-reservoir system operation optimisation. The statistical indices coefficient of determination (R²), root mean square error (RMSE), mean absolute error (MAE), mean square error (MSE), normalise mean square error (NMSE), and mean absolute percentage error (MAPE) were used to compare the algorithms' performance. According to the test findings, among the ten algorithms evaluated. GWO was shown to be the most effective, and it is suggested as a reliable and promising technique for optimising multi-reservoir systems.

Keywords: metaheuristic algorithm; multi-reservoir system; Mahanadi reservoir project; grey wolf optimisation; GWO; whale optimisation algorithm; WOA.

DOI: 10.1504/IJHST.2024.137773

International Journal of Hydrology Science and Technology, 2024 Vol.17 No.3, pp.239 - 266

Received: 19 Aug 2022
Accepted: 26 Oct 2022
Published online: 05 Apr 2024 *

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