Optimizing droop coefficients for minimum cost operation of islanded micro-grids

E. Riva Sanseverino; Q. T.T. Tran; G. Zizzo; M. L. Di Silvestre; B. V. Doan; N. Q. Nguyen; J. M. Guerrero

doi:10.1109/EEEIC.2017.7977712

Optimizing droop coefficients for minimum cost operation of islanded micro-grids

E. Riva Sanseverino, Q. T.T. Tran, G. Zizzo, M. L. Di Silvestre, B. V. Doan, N. Q. Nguyen, J. M. Guerrero

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

Abstract

This paper shows how minimum cost energy management can be carried out for islanded micro-grids considering an expanded state that also includes the system's frequency. Each of the configurations outputted by the energy management system at each hour are indeed technically sound and coherent from the point of view of generation-consumption balancing by exploiting a frequency dependent load flow algorithm. A Glow-worm Swarm Optimization (GSO) algorithm carried out in a 24 hour time frame provides optimized results. A test has been carried out for a residential PV-Storage-Microturbine islanded micro-grid to show the feasibility as well as the efficiency of the proposed approach and results are compared to an existing solution method recently proposed by the authors.

Originalsprog	Engelsk
Titel	Proceedings of the 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Forlag	IEEE Press
Publikationsdato	jun. 2017
Artikelnummer	7977712
ISBN (Elektronisk)	978-1-5386-3917-7
DOI	https://doi.org/10.1109/EEEIC.2017.7977712
Status	Udgivet - jun. 2017
Begivenhed	2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) - Milano, Italien Varighed: 6 jun. 2017 → 9 jun. 2017

Konference

Konference	2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Land/Område	Italien
By	Milano
Periode	06/06/2017 → 09/06/2017

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10.1109/EEEIC.2017.7977712

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Citationsformater

Sanseverino, E. R., Tran, Q. T. T., Zizzo, G., Di Silvestre, M. L., Doan, B. V., Nguyen, N. Q., & Guerrero, J. M. (2017). Optimizing droop coefficients for minimum cost operation of islanded micro-grids. I Proceedings of the 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Artikel 7977712 IEEE Press. https://doi.org/10.1109/EEEIC.2017.7977712

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title = "Optimizing droop coefficients for minimum cost operation of islanded micro-grids",

abstract = "This paper shows how minimum cost energy management can be carried out for islanded micro-grids considering an expanded state that also includes the system's frequency. Each of the configurations outputted by the energy management system at each hour are indeed technically sound and coherent from the point of view of generation-consumption balancing by exploiting a frequency dependent load flow algorithm. A Glow-worm Swarm Optimization (GSO) algorithm carried out in a 24 hour time frame provides optimized results. A test has been carried out for a residential PV-Storage-Microturbine islanded micro-grid to show the feasibility as well as the efficiency of the proposed approach and results are compared to an existing solution method recently proposed by the authors.",

keywords = "Energy management, Glow-worm swarm optimization, Micro-grid, Optimal power flow (OPF)",

author = "Sanseverino, {E. Riva} and Tran, {Q. T.T.} and G. Zizzo and {Di Silvestre}, {M. L.} and Doan, {B. V.} and Nguyen, {N. Q.} and Guerrero, {J. M.}",

year = "2017",

month = jun,

doi = "10.1109/EEEIC.2017.7977712",

language = "English",

booktitle = "Proceedings of the 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)",

publisher = "IEEE Press",

note = "2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) ; Conference date: 06-06-2017 Through 09-06-2017",

}

Sanseverino, ER, Tran, QTT, Zizzo, G, Di Silvestre, ML, Doan, BV, Nguyen, NQ & Guerrero, JM 2017, Optimizing droop coefficients for minimum cost operation of islanded micro-grids. i Proceedings of the 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)., 7977712, IEEE Press, 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Milano, Italien, 06/06/2017. https://doi.org/10.1109/EEEIC.2017.7977712

Optimizing droop coefficients for minimum cost operation of islanded micro-grids. / Sanseverino, E. Riva; Tran, Q. T.T.; Zizzo, G. et al.
Proceedings of the 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE Press, 2017. 7977712.

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

TY - GEN

T1 - Optimizing droop coefficients for minimum cost operation of islanded micro-grids

AU - Sanseverino, E. Riva

AU - Tran, Q. T.T.

AU - Zizzo, G.

AU - Di Silvestre, M. L.

AU - Doan, B. V.

AU - Nguyen, N. Q.

AU - Guerrero, J. M.

PY - 2017/6

Y1 - 2017/6

N2 - This paper shows how minimum cost energy management can be carried out for islanded micro-grids considering an expanded state that also includes the system's frequency. Each of the configurations outputted by the energy management system at each hour are indeed technically sound and coherent from the point of view of generation-consumption balancing by exploiting a frequency dependent load flow algorithm. A Glow-worm Swarm Optimization (GSO) algorithm carried out in a 24 hour time frame provides optimized results. A test has been carried out for a residential PV-Storage-Microturbine islanded micro-grid to show the feasibility as well as the efficiency of the proposed approach and results are compared to an existing solution method recently proposed by the authors.

AB - This paper shows how minimum cost energy management can be carried out for islanded micro-grids considering an expanded state that also includes the system's frequency. Each of the configurations outputted by the energy management system at each hour are indeed technically sound and coherent from the point of view of generation-consumption balancing by exploiting a frequency dependent load flow algorithm. A Glow-worm Swarm Optimization (GSO) algorithm carried out in a 24 hour time frame provides optimized results. A test has been carried out for a residential PV-Storage-Microturbine islanded micro-grid to show the feasibility as well as the efficiency of the proposed approach and results are compared to an existing solution method recently proposed by the authors.

KW - Energy management

KW - Glow-worm swarm optimization

KW - Micro-grid

KW - Optimal power flow (OPF)

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M3 - Article in proceeding

AN - SCOPUS:85026759221

BT - Proceedings of the 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

PB - IEEE Press

T2 - 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

Y2 - 6 June 2017 through 9 June 2017

ER -

Sanseverino ER, Tran QTT, Zizzo G, Di Silvestre ML, Doan BV, Nguyen NQ et al. Optimizing droop coefficients for minimum cost operation of islanded micro-grids. I Proceedings of the 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE Press. 2017. 7977712 doi: 10.1109/EEEIC.2017.7977712

Optimizing droop coefficients for minimum cost operation of islanded micro-grids

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