Optimal microgrid management in the Colombian energy market with demand response and energy storage

Carlos Adrian Correa; Geovanny Marulanda; Alejandro Garces

doi:10.1109/PESGM.2016.7741905

Optimal microgrid management in the Colombian energy market with demand response and energy storage

Carlos Adrian Correa, Geovanny Marulanda, Alejandro Garces

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

17 Citas (Scopus)

Resumen

A microgrid (MG) is a secondary (low voltage) network capable of supplying part or all the power needed by the connected users. It is composed by solar panels, energy storage devices, diesel plants, microturbines, and all other distributed generation technologies available for connecting to the low voltage grid. In this paper, a MG model is presented to minimize operation cost during a 24-hour period. Decisions of the MG are taken by a Virtual Power Player (VPP) which manages available resources, such as solar panels, energy storage devices (ES) and Demand Response (DR). The resulting mathematical model is a linear programming problem, which is solved using a commercial software. The results show that adequate management of available resources lead to economic operation of the MG and modifies the load behaviour.

Idioma original	Inglés
Título de la publicación alojada	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Editorial	IEEE Computer Society
ISBN (versión digital)	9781509041688
DOI	https://doi.org/10.1109/PESGM.2016.7741905
Estado	Publicada - 10 nov. 2016
Publicado de forma externa	Sí
Evento	2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, Estados Unidos Duración: 17 jul. 2016 → 21 jul. 2016

Serie de la publicación

Nombre	IEEE Power and Energy Society General Meeting
Volumen	2016-November
ISSN (versión impresa)	1944-9925
ISSN (versión digital)	1944-9933

Conferencia

Conferencia	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
País/Territorio	Estados Unidos
Ciudad	Boston
Período	17/07/16 → 21/07/16

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/PESGM.2016.7741905

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Correa, C. A., Marulanda, G., & Garces, A. (2016). Optimal microgrid management in the Colombian energy market with demand response and energy storage. En 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 Artículo 7741905 (IEEE Power and Energy Society General Meeting; Vol. 2016-November). IEEE Computer Society. https://doi.org/10.1109/PESGM.2016.7741905

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title = "Optimal microgrid management in the Colombian energy market with demand response and energy storage",

abstract = "A microgrid (MG) is a secondary (low voltage) network capable of supplying part or all the power needed by the connected users. It is composed by solar panels, energy storage devices, diesel plants, microturbines, and all other distributed generation technologies available for connecting to the low voltage grid. In this paper, a MG model is presented to minimize operation cost during a 24-hour period. Decisions of the MG are taken by a Virtual Power Player (VPP) which manages available resources, such as solar panels, energy storage devices (ES) and Demand Response (DR). The resulting mathematical model is a linear programming problem, which is solved using a commercial software. The results show that adequate management of available resources lead to economic operation of the MG and modifies the load behaviour.",

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Correa, CA, Marulanda, G & Garces, A 2016, Optimal microgrid management in the Colombian energy market with demand response and energy storage. En 2016 IEEE Power and Energy Society General Meeting, PESGM 2016., 7741905, IEEE Power and Energy Society General Meeting, vol. 2016-November, IEEE Computer Society, 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, Boston, Estados Unidos, 17/07/16. https://doi.org/10.1109/PESGM.2016.7741905

Optimal microgrid management in the Colombian energy market with demand response and energy storage. / Correa, Carlos Adrian; Marulanda, Geovanny; Garces, Alejandro.
2016 IEEE Power and Energy Society General Meeting, PESGM 2016. IEEE Computer Society, 2016. 7741905 (IEEE Power and Energy Society General Meeting; Vol. 2016-November).

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AU - Correa, Carlos Adrian

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N2 - A microgrid (MG) is a secondary (low voltage) network capable of supplying part or all the power needed by the connected users. It is composed by solar panels, energy storage devices, diesel plants, microturbines, and all other distributed generation technologies available for connecting to the low voltage grid. In this paper, a MG model is presented to minimize operation cost during a 24-hour period. Decisions of the MG are taken by a Virtual Power Player (VPP) which manages available resources, such as solar panels, energy storage devices (ES) and Demand Response (DR). The resulting mathematical model is a linear programming problem, which is solved using a commercial software. The results show that adequate management of available resources lead to economic operation of the MG and modifies the load behaviour.

AB - A microgrid (MG) is a secondary (low voltage) network capable of supplying part or all the power needed by the connected users. It is composed by solar panels, energy storage devices, diesel plants, microturbines, and all other distributed generation technologies available for connecting to the low voltage grid. In this paper, a MG model is presented to minimize operation cost during a 24-hour period. Decisions of the MG are taken by a Virtual Power Player (VPP) which manages available resources, such as solar panels, energy storage devices (ES) and Demand Response (DR). The resulting mathematical model is a linear programming problem, which is solved using a commercial software. The results show that adequate management of available resources lead to economic operation of the MG and modifies the load behaviour.

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KW - Demand response

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Optimal microgrid management in the Colombian energy market with demand response and energy storage

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