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...
Saved in:
Main Authors: | , , , , |
---|---|
Other Authors: | |
Format: | Article |
Published: |
Elsevier Ltd
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-26128 |
---|---|
record_format |
dspace |
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 |
score |
13.222552 |