Optimal generation scheduling in hydro-power plants with the Coral Reefs Optimization algorithm
Authors
Gil Marcelino, Carolina; Salcedo Sanz, Sancho; Jiménez Fernández, Silvia; Camacho Gómez, CarlosIdentifiers
Permanent link (URI): http://hdl.handle.net/10017/47548DOI: 10.3390/en14092443
ISSN: 1996-1073
Publisher
MDPI
Date
2021-04-25Funders
European Commission
Ministerio de Economía y Competitividad
Comunidad de Madrid
Bibliographic citation
Marcelino, Carolina G.; Camacho-Gómez, Carlos; Jiménez-Fernández, Silvia & Salcedo-Sanz, Sancho. 2021. "Optimal generation scheduling in hydro-power plants with the Coral Reefs Optimization algorithm", Energies, vol. 14, no. 9, art. no. 2443.
Keywords
Generation scheduling
Hydro-power plants
Coral Reefs Optimization algorithm
Meta-heuristics
Bio-inspired algorithms
Energy efficiency
Project
info:eu-repo/grantAgreement/EC/H2020/754382/EU/GOT Energy Talent/GET
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-85887-C2-2-P/ES/NUEVOS ALGORITMOS HIBRIDOS DE INSPIRACION NATURAL PARA PROBLEMAS DE CLASIFICACION ORDINAL Y PREDICCION/
info:eu-repo/grantAgreement/CAM//S2018%2FEMT4366/ES/PROgrama Microredes INTeligentes-CM/PROMINT-CM
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Publisher's version
https://doi.org/10.3390/en14092443Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Access rights
info:eu-repo/semantics/openAccess
Abstract
Hydro-power plants are able to produce electrical energy in a sustainable way. A known format for producing energy is through generation scheduling, which is a task usually established as a Unit Commitment problem. The challenge in this process is to define the amount of energy that each turbine-generator needs to deliver to the plant, to fulfill the requested electrical dispatch commitment, while coping with the operational restrictions. An optimal generation scheduling for turbine-generators in hydro-power plants can offer a larger amount of energy to be generated with respect to non-optimized schedules, with significantly less water consumption. This work presents an efficient mathematical modelling for generation scheduling in a real hydro-power plant in Brazil. An optimization method based on different versions of the Coral Reefs Optimization algorithm with Substrate Layers (CRO) is proposed as an effective method to tackle this problem.This approach uses different search operators in a single population to refine the search for an optimal scheduling for this problem. We have shown that the solution obtained with the CRO using Gaussian search in exploration is able to produce competitive solutions in terms of energy production. The results obtained show a huge savings of 13.98 billion (liters of water) monthly projected versus the non-optimized scheduling.
Files in this item
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Optimal_Gil_Energies_2021.pdf | 1.474Mb |
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Files | Size | Format |
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Optimal_Gil_Energies_2021.pdf | 1.474Mb |
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