A Robust Optimization Model to the Day-Ahead Operation of an Electric Vehicle Aggregator Providing Reliable Reserve

This paper presents a robust optimization model to find out the day-ahead energy and reserve to be scheduled by an electric vehicle (EV) aggregator. Energy can be purchased from, and injected to, the distribution network, while upward and downward reserves can be also provided by the EV aggregator....

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Autores principales:	Antonio Jiménez-Marín, Juan Pérez-Ruiz
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	EV aggregator energy and reserve schedule robust optimization non-anticipativity constraints Technology T
Acceso en línea:	https://doaj.org/article/0dcad375f3ed44398239de55d82afd4b
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spelling	oai:doaj.org-article:0dcad375f3ed44398239de55d82afd4b2021-11-25T17:25:41ZA Robust Optimization Model to the Day-Ahead Operation of an Electric Vehicle Aggregator Providing Reliable Reserve10.3390/en142274561996-1073https://doaj.org/article/0dcad375f3ed44398239de55d82afd4b2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7456https://doaj.org/toc/1996-1073This paper presents a robust optimization model to find out the day-ahead energy and reserve to be scheduled by an electric vehicle (EV) aggregator. Energy can be purchased from, and injected to, the distribution network, while upward and downward reserves can be also provided by the EV aggregator. Although it is an economically driven model, the focus of this work relies on the actual availability of the scheduled reserves in a future real-time. To this end, two main features stand out: on one hand, the uncertainty regarding the EV driven pattern is modeled through a robust approach and, on the other hand, a set of non-anticipativity constraints are included to prevent from unavailable future states. The proposed model is posed as a mixed-integer robust linear problem in which binary variables are used to consider the charging, discharging or idle status of the EV aggregator. Results over a 24-h case study show the capability of the proposed model.Antonio Jiménez-MarínJuan Pérez-RuizMDPI AGarticleEV aggregatorenergy and reserve schedulerobust optimizationnon-anticipativity constraintsTechnologyTENEnergies, Vol 14, Iss 7456, p 7456 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	EV aggregator energy and reserve schedule robust optimization non-anticipativity constraints Technology T
spellingShingle	EV aggregator energy and reserve schedule robust optimization non-anticipativity constraints Technology T Antonio Jiménez-Marín Juan Pérez-Ruiz A Robust Optimization Model to the Day-Ahead Operation of an Electric Vehicle Aggregator Providing Reliable Reserve
description	This paper presents a robust optimization model to find out the day-ahead energy and reserve to be scheduled by an electric vehicle (EV) aggregator. Energy can be purchased from, and injected to, the distribution network, while upward and downward reserves can be also provided by the EV aggregator. Although it is an economically driven model, the focus of this work relies on the actual availability of the scheduled reserves in a future real-time. To this end, two main features stand out: on one hand, the uncertainty regarding the EV driven pattern is modeled through a robust approach and, on the other hand, a set of non-anticipativity constraints are included to prevent from unavailable future states. The proposed model is posed as a mixed-integer robust linear problem in which binary variables are used to consider the charging, discharging or idle status of the EV aggregator. Results over a 24-h case study show the capability of the proposed model.
format	article
author	Antonio Jiménez-Marín Juan Pérez-Ruiz
author_facet	Antonio Jiménez-Marín Juan Pérez-Ruiz
author_sort	Antonio Jiménez-Marín
title	A Robust Optimization Model to the Day-Ahead Operation of an Electric Vehicle Aggregator Providing Reliable Reserve
title_short	A Robust Optimization Model to the Day-Ahead Operation of an Electric Vehicle Aggregator Providing Reliable Reserve
title_full	A Robust Optimization Model to the Day-Ahead Operation of an Electric Vehicle Aggregator Providing Reliable Reserve
title_fullStr	A Robust Optimization Model to the Day-Ahead Operation of an Electric Vehicle Aggregator Providing Reliable Reserve
title_full_unstemmed	A Robust Optimization Model to the Day-Ahead Operation of an Electric Vehicle Aggregator Providing Reliable Reserve
title_sort	robust optimization model to the day-ahead operation of an electric vehicle aggregator providing reliable reserve
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/0dcad375f3ed44398239de55d82afd4b
work_keys_str_mv	AT antoniojimenezmarin arobustoptimizationmodeltothedayaheadoperationofanelectricvehicleaggregatorprovidingreliablereserve AT juanperezruiz arobustoptimizationmodeltothedayaheadoperationofanelectricvehicleaggregatorprovidingreliablereserve AT antoniojimenezmarin robustoptimizationmodeltothedayaheadoperationofanelectricvehicleaggregatorprovidingreliablereserve AT juanperezruiz robustoptimizationmodeltothedayaheadoperationofanelectricvehicleaggregatorprovidingreliablereserve
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A Robust Optimization Model to the Day-Ahead Operation of an Electric Vehicle Aggregator Providing Reliable Reserve

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