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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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.

Original language	English
Title of host publication	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
Publication date	Jun 2017
Article number	7977712
ISBN (Electronic)	978-1-5386-3917-7
DOIs	https://doi.org/10.1109/EEEIC.2017.7977712
Publication status	Published - Jun 2017
Event	2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) - Milano, Italy Duration: 6 Jun 2017 → 9 Jun 2017

Conference

Conference	2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Country/Territory	Italy
City	Milano
Period	06/06/2017 → 09/06/2017

Keywords

Energy management
Glow-worm swarm optimization
Micro-grid
Optimal power flow (OPF)

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10.1109/EEEIC.2017.7977712

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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. In 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) Article 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",

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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. in 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, Italy, 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.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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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.

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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.

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KW - Glow-worm swarm optimization

KW - Micro-grid

KW - Optimal power flow (OPF)

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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)

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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. In 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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