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dc.contributor.authorDehghani, Mohammad
dc.contributor.authorMardaneh, Mohammad
dc.contributor.authorParkash Malik, Om
dc.contributor.authorGuerrero, Josep M.
dc.contributor.authorRamírez Mendoza, Ricardo A.
dc.contributor.authorMorales Menendez, Ruben
dc.contributor.authorMatas Alcalá, José
dc.contributor.authorAbusorrah, Abdullah
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
dc.date.accessioned2021-04-08T12:28:55Z
dc.date.available2021-04-08T12:28:55Z
dc.date.issued2020-08-24
dc.identifier.citationDehghani, M. [et al.]. Energy commitment for a power system supplied by multiple energy carriers system using following optimization algorithm. "Applied sciences", 24 Agost 2020, vol. 10, núm. 17, p. 5862:1-5862:20.
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/2117/343331
dc.description.abstractIn today’s world, the development and continuation of life require energy. Supplying this energy demand requires careful and scientific planning of the energy provided by a variety of products, such as oil, gas, coal, electricity, etc. A new study on the operation of energy carriers called Energy Commitment (EC) is proposed. The purpose of the EC is to set a pattern for the use of energy carriers to supply energy demand, considering technical and economic constraints. EC is a constrained optimization problem that can be solved by using optimization methods. This study suggests the Following Optimization Algorithm (FOA) to solve the EC problem to achieve technical and economic benefits. Minimizing energy supply costs for the total study period is considered as an objective function. The FOA simulates social relationships among the community members who try to improve their community by following each other. Simulation is carried out on a 10-unit energy system supplied by various types of energy carriers that includes transportation, agriculture, industrial, residential, commercial, and public sectors. The results show that the optimal energy supply for a grid with 0.15447 Millions of Barrels of Oil Equivalent (MBOE) of energy demand costs 9.0922 millions dollar for a 24-h study period. However, if the energy supply is not optimal, the costs of operating energy carriers will increase and move away from the optimal economic situation. The economic distribution of electrical demand between 10 power plants and the amount of production units per hour of the study period is determined. The EC outputs are presented, which include an appropriate pattern of energy carrier utilization, energy demand supply costs, appropriate combination of units, and power plant production. The behavior and process of achieving the answer in the convergence curve for the implementation of FOA on EC indicates the exploration and exploitation capacity of FOA. Based on the simulated results, EC provides more information than Unit Commitment (UC) and analyzes the network more efficiently and deeply.
dc.language.isoeng
dc.publisherMDPI
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria elèctrica
dc.subject.otherEnergy
dc.subject.otherEnergy commitment
dc.subject.otherEnergy carrier
dc.subject.otherMulti-carrier energy
dc.subject.otherFollowing optimization algorithm
dc.titleEnergy commitment for a power system supplied by multiple energy carriers system using following optimization algorithm
dc.typeArticle
dc.subject.lemacTransport d'energia
dc.contributor.groupUniversitat Politècnica de Catalunya. SEPIC - Sistemes Electrònics de Potència i de Control
dc.identifier.doi10.3390/app10175862
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.mdpi.com/2076-3417/10/17/5862
dc.rights.accessOpen Access
local.identifier.drac29870625
dc.description.versionPostprint (published version)
local.citation.authorDehghani, M.; Mardaneh, M.; Parkash, O.; Guerrero, J.; Ramírez, R.; Morales-Menendez, R.; Matas, J.; Abusorrah, A.
local.citation.publicationNameApplied sciences
local.citation.volume10
local.citation.number17
local.citation.startingPage5862:1
local.citation.endingPage5862:20


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Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain