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

Ant colony optimization; Hydroelectric power; Hydroelectric power plants; Investments; Particle swarm optimization (PSO); Reservoirs (water); Stream flow; Water supply; Ant colony algorithms; Hydro-power generation; Hydropower reservoirs; Optimization algorithms; Particle swarm optimization algorith...

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Main Authors: Chong K.L., Lai S.H., Ahmed A.N., Wan Jaafar W.Z., El-Shafie A.
Other Authors: 57208482172
Format: Article
Published: Elsevier Ltd 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-261282023-05-29T17:07:01Z Optimization of hydropower reservoir operation based on hedging policy using Jaya algorithm Chong K.L. Lai S.H. Ahmed A.N. Wan Jaafar W.Z. El-Shafie A. 57208482172 36102664300 57214837520 55006925400 16068189400 Ant colony optimization; Hydroelectric power; Hydroelectric power plants; Investments; Particle swarm optimization (PSO); Reservoirs (water); Stream flow; Water supply; Ant colony algorithms; Hydro-power generation; Hydropower reservoirs; Optimization algorithms; Particle swarm optimization algorithm; Reservoir performance; Streamflow generations; Uncertainty and variability; Genetic algorithms 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 � 2021 Elsevier B.V. Final 2023-05-29T09:07:01Z 2023-05-29T09:07:01Z 2021 Article 10.1016/j.asoc.2021.107325 2-s2.0-85102972043 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102972043&doi=10.1016%2fj.asoc.2021.107325&partnerID=40&md5=1f02981b444d5d48df6d904afa2b8f6c https://irepository.uniten.edu.my/handle/123456789/26128 106 107325 Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Ant colony optimization; Hydroelectric power; Hydroelectric power plants; Investments; Particle swarm optimization (PSO); Reservoirs (water); Stream flow; Water supply; Ant colony algorithms; Hydro-power generation; Hydropower reservoirs; Optimization algorithms; Particle swarm optimization algorithm; Reservoir performance; Streamflow generations; Uncertainty and variability; Genetic algorithms
author2 57208482172
author_facet 57208482172
Chong K.L.
Lai S.H.
Ahmed A.N.
Wan Jaafar W.Z.
El-Shafie A.
format Article
author Chong K.L.
Lai S.H.
Ahmed A.N.
Wan Jaafar W.Z.
El-Shafie A.
spellingShingle Chong K.L.
Lai S.H.
Ahmed A.N.
Wan Jaafar W.Z.
El-Shafie A.
Optimization of hydropower reservoir operation based on hedging policy using Jaya algorithm
author_sort Chong K.L.
title Optimization of hydropower reservoir operation based on hedging policy using Jaya algorithm
title_short Optimization of hydropower reservoir operation based on hedging policy using Jaya algorithm
title_full Optimization of hydropower reservoir operation based on hedging policy using Jaya algorithm
title_fullStr Optimization of hydropower reservoir operation based on hedging policy using Jaya algorithm
title_full_unstemmed Optimization of hydropower reservoir operation based on hedging policy using Jaya algorithm
title_sort optimization of hydropower reservoir operation based on hedging policy using jaya algorithm
publisher Elsevier Ltd
publishDate 2023
_version_ 1806423324823126016