Optimal Power Scheduling for a Grid-Connected Hybrid PV-Wind-Battery Microgrid System

Adriana Carolina Luna Hernández; Nelson Leonardo Diaz Aldana; Mehdi Savaghebi; Juan Carlos Vasquez Quintero; Josep M. Guerrero; Kai Sun; Guoliang Chen; Libing Sun

doi:10.1109/APEC.2016.7468025

Optimal Power Scheduling for a Grid-Connected Hybrid PV-Wind-Battery Microgrid System

Adriana Carolina Luna Hernández, Nelson Leonardo Diaz Aldana, Mehdi Savaghebi, Juan Carlos Vasquez Quintero, Josep M. Guerrero, Kai Sun, Guoliang Chen, Libing Sun

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Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

22 Citationer (Scopus)

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Abstract

In this paper, a lineal mathematical model is proposed to schedule optimally the power references of the distributed energy resources in a grid-connected hybrid PVwind-battery microgrid. The optimization of the short term scheduling problem is addressed through a mixed-integer linear programming mathematical model, wherein the cost of energy purchased from the main grid is minimized and profits for selling energy generated by photovoltaic arrays are maximized by considering both physical constraints and requirements for a feasible deployment in the real system. The optimization model is tested by using a real-time simulation of the model and uploaded it in a digital control platform. The results show the economic benefit of the proposed optimal scheduling approach in two different scenarios.

Originalsprog	Engelsk
Titel	Proceedings of the 31st Annual IEEE Applied Power Electronics Conference and Exposition (APEC)
Antal sider	8
Forlag	IEEE
Publikationsdato	mar. 2016
Sider	1227 - 1234
ISBN (Trykt)	978-1-4673-8393-6 , 978-1-4673-9551-9
ISBN (Elektronisk)	978-1-4673-9550-2
DOI	https://doi.org/10.1109/APEC.2016.7468025
Status	Udgivet - mar. 2016
Begivenhed	2016 IEEE Applied Power Electronics Conference and Exposition (APEC) - Long Beach Convention and Entertainment Center, Long Beach, USA Varighed: 20 mar. 2016 → 24 mar. 2016 http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=32616

Konference

Konference	2016 IEEE Applied Power Electronics Conference and Exposition (APEC)
Lokation	Long Beach Convention and Entertainment Center
Land/Område	USA
By	Long Beach
Periode	20/03/2016 → 24/03/2016
Internetadresse	http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=32616

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10.1109/APEC.2016.7468025

Optimal Power Scheduling for a Grid-Connected Hybrid PV-Wind-Battery Microgrid SystemIndsendt manuskript, 1,49 MB

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Citationsformater

Hernández, A. C. L., Aldana, N. L. D., Savaghebi, M., Quintero, J. C. V., Guerrero, J. M., Sun, K., Chen, G., & Sun, L. (2016). Optimal Power Scheduling for a Grid-Connected Hybrid PV-Wind-Battery Microgrid System. I Proceedings of the 31st Annual IEEE Applied Power Electronics Conference and Exposition (APEC) (s. 1227 - 1234). IEEE. https://doi.org/10.1109/APEC.2016.7468025

@inproceedings{16c28b83b6f84dc3a801828539921aec,

title = "Optimal Power Scheduling for a Grid-Connected Hybrid PV-Wind-Battery Microgrid System",

abstract = "In this paper, a lineal mathematical model is proposed to schedule optimally the power references of the distributed energy resources in a grid-connected hybrid PVwind-battery microgrid. The optimization of the short term scheduling problem is addressed through a mixed-integer linear programming mathematical model, wherein the cost of energy purchased from the main grid is minimized and profits for selling energy generated by photovoltaic arrays are maximized by considering both physical constraints and requirements for a feasible deployment in the real system. The optimization model is tested by using a real-time simulation of the model and uploaded it in a digital control platform. The results show the economic benefit of the proposed optimal scheduling approach in two different scenarios.",

author = "Hern{\'a}ndez, {Adriana Carolina Luna} and Aldana, {Nelson Leonardo Diaz} and Mehdi Savaghebi and Quintero, {Juan Carlos Vasquez} and Guerrero, {Josep M.} and Kai Sun and Guoliang Chen and Libing Sun",

year = "2016",

month = mar,

doi = "10.1109/APEC.2016.7468025",

language = "English",

isbn = "978-1-4673-8393-6 ",

pages = "1227 -- 1234",

booktitle = "Proceedings of the 31st Annual IEEE Applied Power Electronics Conference and Exposition (APEC)",

publisher = "IEEE",

address = "United States",

note = "2016 IEEE Applied Power Electronics Conference and Exposition (APEC) ; Conference date: 20-03-2016 Through 24-03-2016",

url = "http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=32616",

}

Hernández, ACL, Aldana, NLD, Savaghebi, M, Quintero, JCV , Guerrero, JM, Sun, K, Chen, G & Sun, L 2016, Optimal Power Scheduling for a Grid-Connected Hybrid PV-Wind-Battery Microgrid System. i Proceedings of the 31st Annual IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE, s. 1227 - 1234, 2016 IEEE Applied Power Electronics Conference and Exposition (APEC), Long Beach, USA, 20/03/2016. https://doi.org/10.1109/APEC.2016.7468025

Optimal Power Scheduling for a Grid-Connected Hybrid PV-Wind-Battery Microgrid System. / Hernández, Adriana Carolina Luna; Aldana, Nelson Leonardo Diaz; Savaghebi, Mehdi et al.
Proceedings of the 31st Annual IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE, 2016. s. 1227 - 1234.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Optimal Power Scheduling for a Grid-Connected Hybrid PV-Wind-Battery Microgrid System

AU - Hernández, Adriana Carolina Luna

AU - Aldana, Nelson Leonardo Diaz

AU - Savaghebi, Mehdi

AU - Quintero, Juan Carlos Vasquez

AU - Guerrero, Josep M.

AU - Sun, Kai

AU - Chen, Guoliang

AU - Sun, Libing

PY - 2016/3

Y1 - 2016/3

N2 - In this paper, a lineal mathematical model is proposed to schedule optimally the power references of the distributed energy resources in a grid-connected hybrid PVwind-battery microgrid. The optimization of the short term scheduling problem is addressed through a mixed-integer linear programming mathematical model, wherein the cost of energy purchased from the main grid is minimized and profits for selling energy generated by photovoltaic arrays are maximized by considering both physical constraints and requirements for a feasible deployment in the real system. The optimization model is tested by using a real-time simulation of the model and uploaded it in a digital control platform. The results show the economic benefit of the proposed optimal scheduling approach in two different scenarios.

AB - In this paper, a lineal mathematical model is proposed to schedule optimally the power references of the distributed energy resources in a grid-connected hybrid PVwind-battery microgrid. The optimization of the short term scheduling problem is addressed through a mixed-integer linear programming mathematical model, wherein the cost of energy purchased from the main grid is minimized and profits for selling energy generated by photovoltaic arrays are maximized by considering both physical constraints and requirements for a feasible deployment in the real system. The optimization model is tested by using a real-time simulation of the model and uploaded it in a digital control platform. The results show the economic benefit of the proposed optimal scheduling approach in two different scenarios.

U2 - 10.1109/APEC.2016.7468025

DO - 10.1109/APEC.2016.7468025

M3 - Article in proceeding

SN - 978-1-4673-8393-6

SN - 978-1-4673-9551-9

SP - 1227

EP - 1234

BT - Proceedings of the 31st Annual IEEE Applied Power Electronics Conference and Exposition (APEC)

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T2 - 2016 IEEE Applied Power Electronics Conference and Exposition (APEC)

Y2 - 20 March 2016 through 24 March 2016

ER -

Optimal Power Scheduling for a Grid-Connected Hybrid PV-Wind-Battery Microgrid System

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