Optimal Scheduling of a Multi-Energy Microgrid

This work presents an optimization framework for the optimal scheduling of a multi-energy microgrid based on Mixed-Integer Programming techniques and consisting of a number of aggregated end-users. With the objective of satisfying the microgrid's electricity and heat demands in a cost-optimal w...

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Autores principales:	Nikolaos E. Koltsaklis, Jaroslav Knápek
Formato:	article
Lenguaje:	EN
Publicado:	AIDIC Servizi S.r.l. 2021
Materias:	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
Acceso en línea:	https://doaj.org/article/7f03d1c996d04667a9a223c40087b321
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spelling	oai:doaj.org-article:7f03d1c996d04667a9a223c40087b3212021-11-15T21:47:32ZOptimal Scheduling of a Multi-Energy Microgrid10.3303/CET21881502283-9216https://doaj.org/article/7f03d1c996d04667a9a223c40087b3212021-11-01T00:00:00Zhttps://www.cetjournal.it/index.php/cet/article/view/11943https://doaj.org/toc/2283-9216This work presents an optimization framework for the optimal scheduling of a multi-energy microgrid based on Mixed-Integer Programming techniques and consisting of a number of aggregated end-users. With the objective of satisfying the microgrid's electricity and heat demands in a cost-optimal way, the microgrid includes several technologies such as micro combined heat and power units, gas turbines, heat pumps, renewable energy sources, exchanges with the main grid, as well as flexibility providers such as energy storage systems, electric vehicles, and demand response. One salient feature of the proposed framework is that it considers the contribution of power generating sources in the ancillary services provision, both up and down, providing an additional income for their operation and enhancing the grid operation. An illustrative case study has been used to test the applicability of the proposed approach in both economic and operational terms. The results underscore the significance of including the ancillary services market as a revenues source to the MES as well as the fact that the participation of various resources in both energy and ancillary services markets affects the operational scheduling of the microgrid, and the services provided by the flexibility providers play a major role in the overall cost reduction. System operators, aggregators, and market participants can utilize the proposed optimization framework to determine their operational and investment strategies for optimal resource utilization and portfolio selection.Nikolaos E. KoltsaklisJaroslav KnápekAIDIC Servizi S.r.l.articleChemical engineeringTP155-156Computer engineering. Computer hardwareTK7885-7895ENChemical Engineering Transactions, Vol 88 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
spellingShingle	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895 Nikolaos E. Koltsaklis Jaroslav Knápek Optimal Scheduling of a Multi-Energy Microgrid
description	This work presents an optimization framework for the optimal scheduling of a multi-energy microgrid based on Mixed-Integer Programming techniques and consisting of a number of aggregated end-users. With the objective of satisfying the microgrid's electricity and heat demands in a cost-optimal way, the microgrid includes several technologies such as micro combined heat and power units, gas turbines, heat pumps, renewable energy sources, exchanges with the main grid, as well as flexibility providers such as energy storage systems, electric vehicles, and demand response. One salient feature of the proposed framework is that it considers the contribution of power generating sources in the ancillary services provision, both up and down, providing an additional income for their operation and enhancing the grid operation. An illustrative case study has been used to test the applicability of the proposed approach in both economic and operational terms. The results underscore the significance of including the ancillary services market as a revenues source to the MES as well as the fact that the participation of various resources in both energy and ancillary services markets affects the operational scheduling of the microgrid, and the services provided by the flexibility providers play a major role in the overall cost reduction. System operators, aggregators, and market participants can utilize the proposed optimization framework to determine their operational and investment strategies for optimal resource utilization and portfolio selection.
format	article
author	Nikolaos E. Koltsaklis Jaroslav Knápek
author_facet	Nikolaos E. Koltsaklis Jaroslav Knápek
author_sort	Nikolaos E. Koltsaklis
title	Optimal Scheduling of a Multi-Energy Microgrid
title_short	Optimal Scheduling of a Multi-Energy Microgrid
title_full	Optimal Scheduling of a Multi-Energy Microgrid
title_fullStr	Optimal Scheduling of a Multi-Energy Microgrid
title_full_unstemmed	Optimal Scheduling of a Multi-Energy Microgrid
title_sort	optimal scheduling of a multi-energy microgrid
publisher	AIDIC Servizi S.r.l.
publishDate	2021
url	https://doaj.org/article/7f03d1c996d04667a9a223c40087b321
work_keys_str_mv	AT nikolaosekoltsaklis optimalschedulingofamultienergymicrogrid AT jaroslavknapek optimalschedulingofamultienergymicrogrid
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Optimal Scheduling of a Multi-Energy Microgrid

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