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...

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Main Authors: Marcos Tostado-Véliz, Ali Asghar Ghadimi, Mohammad Reza Miveh, Daniel Sánchez-Lozano, Antonio Escamez, Francisco Jurado
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Batteries
Subjects:
Online Access:https://www.mdpi.com/2313-0105/8/11/198
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author Marcos Tostado-Véliz
Ali Asghar Ghadimi
Mohammad Reza Miveh
Daniel Sánchez-Lozano
Antonio Escamez
Francisco Jurado
author_facet Marcos Tostado-Véliz
Ali Asghar Ghadimi
Mohammad Reza Miveh
Daniel Sánchez-Lozano
Antonio Escamez
Francisco Jurado
author_sort Marcos Tostado-Véliz
collection DOAJ
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.
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spelling doaj.art-198f771b762d45d2b9b70696a3d266712023-11-24T03:44:42ZengMDPI AGBatteries2313-01052022-10-0181119810.3390/batteries8110198A Novel Stochastic Mixed-Integer-Linear-Logical Programming Model for Optimal Coordination of Hybrid Storage Systems in Isolated Microgrids Considering Demand ResponseMarcos Tostado-Véliz0Ali Asghar Ghadimi1Mohammad Reza Miveh2Daniel Sánchez-Lozano3Antonio Escamez4Francisco Jurado5Department of Electrical Engineering, University of Jaén, 23700 Linares, SpainDepartment of Electrical Engineering, Faculty of Engineering, Arak University, Arak 38156-8-8349, IranDepartment of Electrical Engineering, Tafresh University, Tafresh 39518-79611, IranDepartment of Electrical Engineering, University of Jaén, 23700 Linares, SpainDepartment of Electrical Engineering, University of Jaén, 23700 Linares, SpainDepartment of Electrical Engineering, University of Jaén, 23700 Linares, SpainStorage 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.https://www.mdpi.com/2313-0105/8/11/198battery storagedemand responseenergy storagemicrogridpumped hydro storagerenewable energy
spellingShingle Marcos Tostado-Véliz
Ali Asghar Ghadimi
Mohammad Reza Miveh
Daniel Sánchez-Lozano
Antonio Escamez
Francisco Jurado
A Novel Stochastic Mixed-Integer-Linear-Logical Programming Model for Optimal Coordination of Hybrid Storage Systems in Isolated Microgrids Considering Demand Response
Batteries
battery storage
demand response
energy storage
microgrid
pumped hydro storage
renewable energy
title 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_short A Novel Stochastic Mixed-Integer-Linear-Logical Programming Model for Optimal Coordination of Hybrid Storage Systems in Isolated Microgrids Considering Demand Response
title_sort novel stochastic mixed integer linear logical programming model for optimal coordination of hybrid storage systems in isolated microgrids considering demand response
topic battery storage
demand response
energy storage
microgrid
pumped hydro storage
renewable energy
url https://www.mdpi.com/2313-0105/8/11/198
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