A Novel Stochastic Mixed-Integer-Linear-Logical Programming Model for Optimal Coordination of Hybrid Storage Systems in Isolated Microgrids Considering Demand Response

Storage systems and demand-response programs will play a vital role in future energy systems. Batteries, hydrogen or pumped hydro storage systems can be combined to form hybrid storage facilities to not only manage the intermittent behavior of renewable sources, but also to store surplus renewable e...

Full description

Bibliographic Details
Authors: Tostado-Véliz, Marcos, Ghadimi, Ali Asghar, Miveh, Mohammad Reza, Sánchez-Lozano, Daniel, Escámez, Antonio, Jurado, Francisco
Format: article
Status:Versión aceptada para publicación
Publication Date:2022
Country:España
Institution:Universidad de Jaén
Repository:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/3435
Online Access:https://mdpi.com/2313-0105/8/11/198
https://hdl.handle.net/10953/3435
Access Level:Open access
Keyword:Battery storage
Demand response
Energy storage
Microgrid
Pumped hydro storage
Renewable energy
Stochastic programming
id ES_c637ffc16f5de6cd61b56b534d33efb9
oai_identifier_str oai:ruja.ujaen.es:10953/3435
network_acronym_str ES
network_name_str España
repository_id_str
spelling A Novel Stochastic Mixed-Integer-Linear-Logical Programming Model for Optimal Coordination of Hybrid Storage Systems in Isolated Microgrids Considering Demand ResponseTostado-Véliz, MarcosGhadimi, Ali AsgharMiveh, Mohammad RezaSánchez-Lozano, DanielEscámez, AntonioJurado, FranciscoBattery storageDemand responseEnergy storageMicrogridPumped hydro storageRenewable energyStochastic programmingStorage systems and demand-response programs will play a vital role in future energy systems. Batteries, hydrogen or pumped hydro storage systems can be combined to form hybrid storage facilities to not only manage the intermittent behavior of renewable sources, but also to store surplus renewable energy in a practice known as ‘green’ storage. On the other hand, demand-response programs are devoted to encouraging a more active participation of consumers by pursuing a more efficient operation of the system. In this context, proper scheduling tools able to coordinate different storage systems and demand-response programs are essential. This paper presents a stochastic mixed-integer-lineal-logical framework for optimal scheduling of isolated microgrids. In contrast to other works, the present model includes a logical-based formulation to explicitly coordinate batteries and pumped hydro storage units. A case study on a benchmark isolated microgrid serves to validate the developed optimization model and analyze the effect of applying demand-response premises in microgrid operation. The results demonstrate the usefulness of the developed method, and it is found that operation cost and fuel consumption can be reduced by ~38% and ~82% by applying demand-response initiatives.MDPI202420242022info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://mdpi.com/2313-0105/8/11/198https://hdl.handle.net/10953/3435reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésBatteries [2022]; [8]: [198]Atribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/34352026-06-24T12:41:07Z
dc.title.none.fl_str_mv A Novel Stochastic Mixed-Integer-Linear-Logical Programming Model for Optimal Coordination of Hybrid Storage Systems in Isolated Microgrids Considering Demand Response
title A Novel Stochastic Mixed-Integer-Linear-Logical Programming Model for Optimal Coordination of Hybrid Storage Systems in Isolated Microgrids Considering Demand Response
spellingShingle A Novel Stochastic Mixed-Integer-Linear-Logical Programming Model for Optimal Coordination of Hybrid Storage Systems in Isolated Microgrids Considering Demand Response
Tostado-Véliz, Marcos
Battery storage
Demand response
Energy storage
Microgrid
Pumped hydro storage
Renewable energy
Stochastic programming
title_short A Novel Stochastic Mixed-Integer-Linear-Logical Programming Model for Optimal Coordination of Hybrid Storage Systems in Isolated Microgrids Considering Demand Response
title_full A Novel Stochastic Mixed-Integer-Linear-Logical Programming Model for Optimal Coordination of Hybrid Storage Systems in Isolated Microgrids Considering Demand Response
title_fullStr A Novel Stochastic Mixed-Integer-Linear-Logical Programming Model for Optimal Coordination of Hybrid Storage Systems in Isolated Microgrids Considering Demand Response
title_full_unstemmed A Novel Stochastic Mixed-Integer-Linear-Logical Programming Model for Optimal Coordination of Hybrid Storage Systems in Isolated Microgrids Considering Demand Response
title_sort A Novel Stochastic Mixed-Integer-Linear-Logical Programming Model for Optimal Coordination of Hybrid Storage Systems in Isolated Microgrids Considering Demand Response
dc.creator.none.fl_str_mv Tostado-Véliz, Marcos
Ghadimi, Ali Asghar
Miveh, Mohammad Reza
Sánchez-Lozano, Daniel
Escámez, Antonio
Jurado, Francisco
author Tostado-Véliz, Marcos
author_facet Tostado-Véliz, Marcos
Ghadimi, Ali Asghar
Miveh, Mohammad Reza
Sánchez-Lozano, Daniel
Escámez, Antonio
Jurado, Francisco
author_role author
author2 Ghadimi, Ali Asghar
Miveh, Mohammad Reza
Sánchez-Lozano, Daniel
Escámez, Antonio
Jurado, Francisco
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Battery storage
Demand response
Energy storage
Microgrid
Pumped hydro storage
Renewable energy
Stochastic programming
topic Battery storage
Demand response
Energy storage
Microgrid
Pumped hydro storage
Renewable energy
Stochastic programming
description Storage systems and demand-response programs will play a vital role in future energy systems. Batteries, hydrogen or pumped hydro storage systems can be combined to form hybrid storage facilities to not only manage the intermittent behavior of renewable sources, but also to store surplus renewable energy in a practice known as ‘green’ storage. On the other hand, demand-response programs are devoted to encouraging a more active participation of consumers by pursuing a more efficient operation of the system. In this context, proper scheduling tools able to coordinate different storage systems and demand-response programs are essential. This paper presents a stochastic mixed-integer-lineal-logical framework for optimal scheduling of isolated microgrids. In contrast to other works, the present model includes a logical-based formulation to explicitly coordinate batteries and pumped hydro storage units. A case study on a benchmark isolated microgrid serves to validate the developed optimization model and analyze the effect of applying demand-response premises in microgrid operation. The results demonstrate the usefulness of the developed method, and it is found that operation cost and fuel consumption can be reduced by ~38% and ~82% by applying demand-response initiatives.
publishDate 2022
dc.date.none.fl_str_mv 2022
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://mdpi.com/2313-0105/8/11/198
https://hdl.handle.net/10953/3435
url https://mdpi.com/2313-0105/8/11/198
https://hdl.handle.net/10953/3435
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Batteries [2022]; [8]: [198]
dc.rights.none.fl_str_mv Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
instname:Universidad de Jaén
instname_str Universidad de Jaén
reponame_str RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
collection RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869419055191949312
score 15.228081

Similar Items