Prediction interval based on type-2 fuzzy systems for wind power generation and loads in microgrid control design

Luis G. Marín; Felipe Valencia; Doris Sáez

doi:10.1109/FUZZ-IEEE.2016.7737705

Prediction interval based on type-2 fuzzy systems for wind power generation and loads in microgrid control design

Luis G. Marín, Felipe Valencia, Doris Sáez

Universidad de Chile

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

31 Citas (Scopus)

Resumen

An important issue in the operation of isolated microgrids is how to properly address the uncertainties associated with renewable resources and loads. In this work, a new interval prediction model based on type-2 fuzzy systems is derived for capturing these uncertainties. This model provides the upper and lower boundaries of the predicted values with a certain coverage probability, as well as their expected values. This information could be used in the design of microgrid controllers, such as energy management systems. The proposed method is applied to forecast the wind power generation and the loads of the Huatacondo microgrid, which is located in northern Chile. A comparison with both linear and Takagi-Sugeno fuzzy interval models is also performed.

Idioma original	Inglés
Título de la publicación alojada	2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	328-335
Número de páginas	8
ISBN (versión digital)	9781509006250
DOI	https://doi.org/10.1109/FUZZ-IEEE.2016.7737705
Estado	Publicada - 07 nov. 2016
Publicado de forma externa	Sí
Evento	2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 - Vancouver, Canadá Duración: 24 jul. 2016 → 29 jul. 2016

Serie de la publicación

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

Conferencia

Conferencia	2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
País/Territorio	Canadá
Ciudad	Vancouver
Período	24/07/16 → 29/07/16

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/FUZZ-IEEE.2016.7737705

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Marín, L. G., Valencia, F., & Sáez, D. (2016). Prediction interval based on type-2 fuzzy systems for wind power generation and loads in microgrid control design. En 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 (pp. 328-335). Artículo 7737705 (2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZ-IEEE.2016.7737705

Marín, Luis G. ; Valencia, Felipe ; Sáez, Doris. / Prediction interval based on type-2 fuzzy systems for wind power generation and loads in microgrid control design. 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 328-335 (2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016).

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title = "Prediction interval based on type-2 fuzzy systems for wind power generation and loads in microgrid control design",

abstract = "An important issue in the operation of isolated microgrids is how to properly address the uncertainties associated with renewable resources and loads. In this work, a new interval prediction model based on type-2 fuzzy systems is derived for capturing these uncertainties. This model provides the upper and lower boundaries of the predicted values with a certain coverage probability, as well as their expected values. This information could be used in the design of microgrid controllers, such as energy management systems. The proposed method is applied to forecast the wind power generation and the loads of the Huatacondo microgrid, which is located in northern Chile. A comparison with both linear and Takagi-Sugeno fuzzy interval models is also performed.",

keywords = "Energy management system, Fuzzy systems, Microgrid, Prediction interval, Renewable energy",

author = "Mar{\'i}n, {Luis G.} and Felipe Valencia and Doris S{\'a}ez",

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Marín, LG, Valencia, F & Sáez, D 2016, Prediction interval based on type-2 fuzzy systems for wind power generation and loads in microgrid control design. En 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016., 7737705, 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 328-335, 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, Vancouver, Canadá, 24/07/16. https://doi.org/10.1109/FUZZ-IEEE.2016.7737705

Prediction interval based on type-2 fuzzy systems for wind power generation and loads in microgrid control design. / Marín, Luis G.; Valencia, Felipe; Sáez, Doris.
2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 328-335 7737705 (2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016).

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

TY - GEN

T1 - Prediction interval based on type-2 fuzzy systems for wind power generation and loads in microgrid control design

AU - Marín, Luis G.

AU - Valencia, Felipe

AU - Sáez, Doris

PY - 2016/11/7

Y1 - 2016/11/7

N2 - An important issue in the operation of isolated microgrids is how to properly address the uncertainties associated with renewable resources and loads. In this work, a new interval prediction model based on type-2 fuzzy systems is derived for capturing these uncertainties. This model provides the upper and lower boundaries of the predicted values with a certain coverage probability, as well as their expected values. This information could be used in the design of microgrid controllers, such as energy management systems. The proposed method is applied to forecast the wind power generation and the loads of the Huatacondo microgrid, which is located in northern Chile. A comparison with both linear and Takagi-Sugeno fuzzy interval models is also performed.

AB - An important issue in the operation of isolated microgrids is how to properly address the uncertainties associated with renewable resources and loads. In this work, a new interval prediction model based on type-2 fuzzy systems is derived for capturing these uncertainties. This model provides the upper and lower boundaries of the predicted values with a certain coverage probability, as well as their expected values. This information could be used in the design of microgrid controllers, such as energy management systems. The proposed method is applied to forecast the wind power generation and the loads of the Huatacondo microgrid, which is located in northern Chile. A comparison with both linear and Takagi-Sugeno fuzzy interval models is also performed.

KW - Energy management system

KW - Fuzzy systems

KW - Microgrid

KW - Prediction interval

KW - Renewable energy

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U2 - 10.1109/FUZZ-IEEE.2016.7737705

DO - 10.1109/FUZZ-IEEE.2016.7737705

M3 - Conference contribution

AN - SCOPUS:85006810403

T3 - 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016

SP - 328

EP - 335

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016

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Marín LG, Valencia F, Sáez D. Prediction interval based on type-2 fuzzy systems for wind power generation and loads in microgrid control design. En 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 328-335. 7737705. (2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016). doi: 10.1109/FUZZ-IEEE.2016.7737705

Prediction interval based on type-2 fuzzy systems for wind power generation and loads in microgrid control design

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