Microgrid planning based on fuzzy interval models of renewable resources

R. Morales; D. Sáez; L. G. Marín; A. Nuñez

doi:10.1109/FUZZ-IEEE.2016.7737706

Microgrid planning based on fuzzy interval models of renewable resources

R. Morales
, D. Sáez
, L. G. Marín
, A. Nuñez

Universidad de Chile
Delft University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

Microgrids are sustainable solutions for electrification of rural zones that can make use of their local renewable resources. In this paper, we propose a new method for microgrid planning which includes the effect of the uncertainties of the renewable resources explicitly. Fuzzy interval models are used because they can capture nonlinearities and systematically represent the uncertainties associated with renewable resources at a certain confidence level. Relying on interval fuzzy models and by considering a set of possible scenarios for the renewable resources, the solution to the microgrid planning problem is given through the optimal sizing and topology of the microgrid. This information, particularly the optimal sizes of generators and the economic analysis, is useful for the design phase of a microgrid project. The proposed methodology is applied to the microgrid planning of the rural Mapuche community, José Painecura, in Chile.

Original language	English
Title of host publication	2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	336-343
Number of pages	8
ISBN (Electronic)	9781509006250
DOIs	https://doi.org/10.1109/FUZZ-IEEE.2016.7737706
State	Published - 07 Nov 2016
Externally published	Yes
Event	2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 - Vancouver, Canada Duration: 24 Jul 2016 → 29 Jul 2016

Publication series

Name	2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016

Conference

Conference	2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
Country/Territory	Canada
City	Vancouver
Period	24/07/16 → 29/07/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Fuzzy modelling
Microgrids
Planning

Access to Document

10.1109/FUZZ-IEEE.2016.7737706

Cite this

Morales, R., Sáez, D., Marín, L. G., & Nuñez, A. (2016). Microgrid planning based on fuzzy interval models of renewable resources. In 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 (pp. 336-343). Article 7737706 (2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZ-IEEE.2016.7737706

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abstract = "Microgrids are sustainable solutions for electrification of rural zones that can make use of their local renewable resources. In this paper, we propose a new method for microgrid planning which includes the effect of the uncertainties of the renewable resources explicitly. Fuzzy interval models are used because they can capture nonlinearities and systematically represent the uncertainties associated with renewable resources at a certain confidence level. Relying on interval fuzzy models and by considering a set of possible scenarios for the renewable resources, the solution to the microgrid planning problem is given through the optimal sizing and topology of the microgrid. This information, particularly the optimal sizes of generators and the economic analysis, is useful for the design phase of a microgrid project. The proposed methodology is applied to the microgrid planning of the rural Mapuche community, Jos{\'e} Painecura, in Chile.",

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Morales, R, Sáez, D, Marín, LG & Nuñez, A 2016, Microgrid planning based on fuzzy interval models of renewable resources. in 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016., 7737706, 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 336-343, 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, Vancouver, Canada, 24/07/16. https://doi.org/10.1109/FUZZ-IEEE.2016.7737706

Microgrid planning based on fuzzy interval models of renewable resources. / Morales, R.; Sáez, D.; Marín, L. G. et al.
2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 336-343 7737706 (2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Microgrid planning based on fuzzy interval models of renewable resources

AU - Morales, R.

AU - Sáez, D.

AU - Marín, L. G.

AU - Nuñez, A.

PY - 2016/11/7

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N2 - Microgrids are sustainable solutions for electrification of rural zones that can make use of their local renewable resources. In this paper, we propose a new method for microgrid planning which includes the effect of the uncertainties of the renewable resources explicitly. Fuzzy interval models are used because they can capture nonlinearities and systematically represent the uncertainties associated with renewable resources at a certain confidence level. Relying on interval fuzzy models and by considering a set of possible scenarios for the renewable resources, the solution to the microgrid planning problem is given through the optimal sizing and topology of the microgrid. This information, particularly the optimal sizes of generators and the economic analysis, is useful for the design phase of a microgrid project. The proposed methodology is applied to the microgrid planning of the rural Mapuche community, José Painecura, in Chile.

AB - Microgrids are sustainable solutions for electrification of rural zones that can make use of their local renewable resources. In this paper, we propose a new method for microgrid planning which includes the effect of the uncertainties of the renewable resources explicitly. Fuzzy interval models are used because they can capture nonlinearities and systematically represent the uncertainties associated with renewable resources at a certain confidence level. Relying on interval fuzzy models and by considering a set of possible scenarios for the renewable resources, the solution to the microgrid planning problem is given through the optimal sizing and topology of the microgrid. This information, particularly the optimal sizes of generators and the economic analysis, is useful for the design phase of a microgrid project. The proposed methodology is applied to the microgrid planning of the rural Mapuche community, José Painecura, in Chile.

KW - Fuzzy modelling

KW - Microgrids

KW - Planning

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Morales R, Sáez D, Marín LG, Nuñez A. Microgrid planning based on fuzzy interval models of renewable resources. In 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 336-343. 7737706. (2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016). doi: 10.1109/FUZZ-IEEE.2016.7737706

Microgrid planning based on fuzzy interval models of renewable resources

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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