Economic Dispatch of Power Systems using Spatio-temporal Kriging-based Wind Forecasts

Julio Cuenca Tinitana; Carlos Correa-Florez; Diego Patino; Jose Vuelvas; Leonel Aleaga; Jorge Carrion

doi:10.1109/ANDESCON56260.2022.9989609

Economic Dispatch of Power Systems using Spatio-temporal Kriging-based Wind Forecasts

Julio Cuenca Tinitana, Carlos Correa-Florez, Diego Patino, Jose Vuelvas, Leonel Aleaga, Jorge Carrion

Department of Electronic Engineering

Universidad Nacional de Loja

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

Abstract

In this paper, spatio-temporal wind forecasts based on the Kriging theory principle are incorporated into the power systems economic dispatch model. The proposed mathematical formulation takes into account both spatial and temporal wind power correlations. As a result, overall cost-effective dispatch of system-wide wind energy is achieved. Lower system-wide generation costs are one of the possible economic benefits. We demonstrate how, compared to a deterministic model, using spatio-temporal wind forecasts can reduce overall generation costs. The dispatch model is evaluated on a modified IEEE 24-bus system and implemented using Julia programming.

Original language	English
Title of host publication	2022 IEEE ANDESCON
Subtitle of host publication	Technology and Innovation for Andean Industry, ANDESCON 2022
Editors	Mariela Cerrada Lozada, Paul Sanmartiin Mendoza
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665488549
DOIs	https://doi.org/10.1109/ANDESCON56260.2022.9989609
State	Published - 2022
Event	11th IEEE Conference of the Andean Council, ANDESCON 2022 - Barranquilla, Colombia Duration: 16 Nov 2022 → 19 Nov 2022

Publication series

Name	2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022

Conference

Conference	11th IEEE Conference of the Andean Council, ANDESCON 2022
Country/Territory	Colombia
City	Barranquilla
Period	16/11/22 → 19/11/22

Keywords

economic dispatch
spatio-temporal kriging
stochastic optimization
wind forecasts

Access to Document

10.1109/ANDESCON56260.2022.9989609

Cite this

Tinitana, J. C., Correa-Florez, C., Patino, D., Vuelvas, J., Aleaga, L., & Carrion, J. (2022). Economic Dispatch of Power Systems using Spatio-temporal Kriging-based Wind Forecasts. In M. C. Lozada, & P. S. Mendoza (Eds.), 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022 (2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ANDESCON56260.2022.9989609

Tinitana, Julio Cuenca ; Correa-Florez, Carlos ; Patino, Diego et al. / Economic Dispatch of Power Systems using Spatio-temporal Kriging-based Wind Forecasts. 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022. editor / Mariela Cerrada Lozada ; Paul Sanmartiin Mendoza. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022).

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title = "Economic Dispatch of Power Systems using Spatio-temporal Kriging-based Wind Forecasts",

abstract = "In this paper, spatio-temporal wind forecasts based on the Kriging theory principle are incorporated into the power systems economic dispatch model. The proposed mathematical formulation takes into account both spatial and temporal wind power correlations. As a result, overall cost-effective dispatch of system-wide wind energy is achieved. Lower system-wide generation costs are one of the possible economic benefits. We demonstrate how, compared to a deterministic model, using spatio-temporal wind forecasts can reduce overall generation costs. The dispatch model is evaluated on a modified IEEE 24-bus system and implemented using Julia programming.",

keywords = "economic dispatch, spatio-temporal kriging, stochastic optimization, wind forecasts",

author = "Tinitana, {Julio Cuenca} and Carlos Correa-Florez and Diego Patino and Jose Vuelvas and Leonel Aleaga and Jorge Carrion",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 11th IEEE Conference of the Andean Council, ANDESCON 2022 ; Conference date: 16-11-2022 Through 19-11-2022",

year = "2022",

doi = "10.1109/ANDESCON56260.2022.9989609",

language = "English",

series = "2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Tinitana, JC, Correa-Florez, C, Patino, D , Vuelvas, J, Aleaga, L & Carrion, J 2022, Economic Dispatch of Power Systems using Spatio-temporal Kriging-based Wind Forecasts. in MC Lozada & PS Mendoza (eds), 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022. 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022, Institute of Electrical and Electronics Engineers Inc., 11th IEEE Conference of the Andean Council, ANDESCON 2022, Barranquilla, Colombia, 16/11/22. https://doi.org/10.1109/ANDESCON56260.2022.9989609

Economic Dispatch of Power Systems using Spatio-temporal Kriging-based Wind Forecasts. / Tinitana, Julio Cuenca; Correa-Florez, Carlos; Patino, Diego et al.
2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022. ed. / Mariela Cerrada Lozada; Paul Sanmartiin Mendoza. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022).

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

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T1 - Economic Dispatch of Power Systems using Spatio-temporal Kriging-based Wind Forecasts

AU - Tinitana, Julio Cuenca

AU - Correa-Florez, Carlos

AU - Patino, Diego

AU - Vuelvas, Jose

AU - Aleaga, Leonel

AU - Carrion, Jorge

PY - 2022

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N2 - In this paper, spatio-temporal wind forecasts based on the Kriging theory principle are incorporated into the power systems economic dispatch model. The proposed mathematical formulation takes into account both spatial and temporal wind power correlations. As a result, overall cost-effective dispatch of system-wide wind energy is achieved. Lower system-wide generation costs are one of the possible economic benefits. We demonstrate how, compared to a deterministic model, using spatio-temporal wind forecasts can reduce overall generation costs. The dispatch model is evaluated on a modified IEEE 24-bus system and implemented using Julia programming.

AB - In this paper, spatio-temporal wind forecasts based on the Kriging theory principle are incorporated into the power systems economic dispatch model. The proposed mathematical formulation takes into account both spatial and temporal wind power correlations. As a result, overall cost-effective dispatch of system-wide wind energy is achieved. Lower system-wide generation costs are one of the possible economic benefits. We demonstrate how, compared to a deterministic model, using spatio-temporal wind forecasts can reduce overall generation costs. The dispatch model is evaluated on a modified IEEE 24-bus system and implemented using Julia programming.

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KW - spatio-temporal kriging

KW - stochastic optimization

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Tinitana JC, Correa-Florez C, Patino D , Vuelvas J, Aleaga L, Carrion J. Economic Dispatch of Power Systems using Spatio-temporal Kriging-based Wind Forecasts. In Lozada MC, Mendoza PS, editors, 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022). doi: 10.1109/ANDESCON56260.2022.9989609

Economic Dispatch of Power Systems using Spatio-temporal Kriging-based Wind Forecasts

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