Optimization of hydropower reservoir operation based on hedging policy using Jaya algorithm

Chong, Kai Lun and Lai, Sai Hin and Ahmed, Ali Najah and Jaafar, Wan Zurina Wan and El-Shafie, Ahmed (2021) Optimization of hydropower reservoir operation based on hedging policy using Jaya algorithm. Applied Soft Computing, 106. ISSN 1568-4946, DOI https://doi.org/10.1016/j.asoc.2021.107325.

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The production and use of energy from hydropower generation play a vital role in the economy. Besides, the presence of uncertainty further increases the complexity in optimizing the reservoir operation. A synthetic streamflow generation based on historical inflow records was employed using the Thomas-Fiering model for handling the uncertainty and variability of reservoir inflows. However, under the circumstances of water deficiency, the hydropower output is significantly reduced. In this study, an investigation of a parameter free Jaya algorithm as an optimization method for reservoir operation was carried out. When deriving the optimal operational rule a hedging strategy is introduced to attenuate the impact of reduced water supply. This strategy can effectively counterbalance the lack of water supply with reservoir storage requirements. The higher amount of hydropower generated by the proposed algorithm than the other algorithms used in this study, such as genetic algorithm (GA), the ant colony algorithm (ACO), the bat algorithm (BA), the particle swarm optimization (PSO) algorithm, chicken swarm optimization (CSO) algorithm, grasshopper optimization algorithm (GOA), equilibrium optimizer (EO) and firefly algorithm (FA), has shown its efficiency in the reservoir system. Several reservoir performance indices, such as total hydropower generation, reliability, and resilience, were used to access the proposed algorithm and other algorithms efficiency (C) 2021 Elsevier B.V. All rights reserved.

Item Type: Article
Funders: University of Malaya RU (RU001-2017B)
Uncontrolled Keywords: Meta-heuristic algorithm; Reservoir operation; Hedging policy; Optimization; Hydropower system
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering > Department of Civil Engineering
Depositing User: Ms Zaharah Ramly
Date Deposited: 18 Jul 2022 06:29
Last Modified: 18 Jul 2022 06:29
URI: http://eprints.um.edu.my/id/eprint/28033

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