IGDT-based Robust Economic Dispatch Problem with Wind Power Integration

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

doi:10.1109/CCAC58200.2023.10333545

IGDT-based Robust Economic Dispatch Problem with Wind Power Integration

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

Economic dispatch (ED) is crucial for efficiently operating a power grid. Critical grid operations are impacted by the uncertainty of renewable sources, which poses operational challenges for grid operations. Therefore, this study proposes an economic dispatch model that accounts for the uncertainty of renewable generation. The framework models and incorporates uncertainty into the ED formulation using the Information Gap Decision Theory (IGDT). To this end, a multiobjective risk-Averse IGDT model is developed, enabling the operator to evaluate uncertainty-Associated risks. Subsequently, the IGDT model is validated by employing a modified IEEE 24-bus test system with multiple wind generators. It is observed that the IGDT proposal achieves operational cost savings and adequately integrates renewable energy generation. The numerical results indicate that the proposed IGDT framework can help operators make decisions based on achieving a target cost for a given level of uncertainty.

Original language	English
Title of host publication	Proceedings of the 2023 IEEE 6th Colombian Conference on Automatic Control, CCAC 2023
Editors	Diana Marcela Ovalle Martiinez, Luis Francisco Combita Alfonso
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350324723
DOIs	https://doi.org/10.1109/CCAC58200.2023.10333545
State	Published - 2023
Event	6th IEEE Colombian Conference on Automatic Control, CCAC 2023 - Popayan, Colombia Duration: 17 Oct 2023 → 20 Oct 2023

Publication series

Name	Proceedings of the 2023 IEEE 6th Colombian Conference on Automatic Control, CCAC 2023

Conference

Conference	6th IEEE Colombian Conference on Automatic Control, CCAC 2023
Country/Territory	Colombia
City	Popayan
Period	17/10/23 → 20/10/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

economic dispatch
information gap decision theory
renewable generation
renewable integration
risk-Averse
uncertainty

Access to Document

10.1109/CCAC58200.2023.10333545

Cite this

Tinitana, J. C., Correa-Florez, C., Patino, D., Vuelvas, J., Aleaga, L., & Carrion, J. (2023). IGDT-based Robust Economic Dispatch Problem with Wind Power Integration. In D. M. O. Martiinez, & L. F. C. Alfonso (Eds.), Proceedings of the 2023 IEEE 6th Colombian Conference on Automatic Control, CCAC 2023 (Proceedings of the 2023 IEEE 6th Colombian Conference on Automatic Control, CCAC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCAC58200.2023.10333545

Tinitana, Julio Cuenca ; Correa-Florez, Carlos ; Patino, Diego et al. / IGDT-based Robust Economic Dispatch Problem with Wind Power Integration. Proceedings of the 2023 IEEE 6th Colombian Conference on Automatic Control, CCAC 2023. editor / Diana Marcela Ovalle Martiinez ; Luis Francisco Combita Alfonso. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of the 2023 IEEE 6th Colombian Conference on Automatic Control, CCAC 2023).

@inproceedings{c5e13ced0d1942608773732b4bcbbca6,

title = "IGDT-based Robust Economic Dispatch Problem with Wind Power Integration",

abstract = "Economic dispatch (ED) is crucial for efficiently operating a power grid. Critical grid operations are impacted by the uncertainty of renewable sources, which poses operational challenges for grid operations. Therefore, this study proposes an economic dispatch model that accounts for the uncertainty of renewable generation. The framework models and incorporates uncertainty into the ED formulation using the Information Gap Decision Theory (IGDT). To this end, a multiobjective risk-Averse IGDT model is developed, enabling the operator to evaluate uncertainty-Associated risks. Subsequently, the IGDT model is validated by employing a modified IEEE 24-bus test system with multiple wind generators. It is observed that the IGDT proposal achieves operational cost savings and adequately integrates renewable energy generation. The numerical results indicate that the proposed IGDT framework can help operators make decisions based on achieving a target cost for a given level of uncertainty.",

keywords = "economic dispatch, information gap decision theory, renewable generation, renewable integration, risk-Averse, uncertainty",

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

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th IEEE Colombian Conference on Automatic Control, CCAC 2023 ; Conference date: 17-10-2023 Through 20-10-2023",

year = "2023",

doi = "10.1109/CCAC58200.2023.10333545",

language = "English",

series = "Proceedings of the 2023 IEEE 6th Colombian Conference on Automatic Control, CCAC 2023",

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 2023, IGDT-based Robust Economic Dispatch Problem with Wind Power Integration. in DMO Martiinez & LFC Alfonso (eds), Proceedings of the 2023 IEEE 6th Colombian Conference on Automatic Control, CCAC 2023. Proceedings of the 2023 IEEE 6th Colombian Conference on Automatic Control, CCAC 2023, Institute of Electrical and Electronics Engineers Inc., 6th IEEE Colombian Conference on Automatic Control, CCAC 2023, Popayan, Colombia, 17/10/23. https://doi.org/10.1109/CCAC58200.2023.10333545

IGDT-based Robust Economic Dispatch Problem with Wind Power Integration. / Tinitana, Julio Cuenca; Correa-Florez, Carlos; Patino, Diego et al.
Proceedings of the 2023 IEEE 6th Colombian Conference on Automatic Control, CCAC 2023. ed. / Diana Marcela Ovalle Martiinez; Luis Francisco Combita Alfonso. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of the 2023 IEEE 6th Colombian Conference on Automatic Control, CCAC 2023).

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

TY - GEN

T1 - IGDT-based Robust Economic Dispatch Problem with Wind Power Integration

AU - Tinitana, Julio Cuenca

AU - Correa-Florez, Carlos

AU - Patino, Diego

AU - Vuelvas, Jose

AU - Aleaga, Leonel

AU - Carrion, Jorge

PY - 2023

Y1 - 2023

N2 - Economic dispatch (ED) is crucial for efficiently operating a power grid. Critical grid operations are impacted by the uncertainty of renewable sources, which poses operational challenges for grid operations. Therefore, this study proposes an economic dispatch model that accounts for the uncertainty of renewable generation. The framework models and incorporates uncertainty into the ED formulation using the Information Gap Decision Theory (IGDT). To this end, a multiobjective risk-Averse IGDT model is developed, enabling the operator to evaluate uncertainty-Associated risks. Subsequently, the IGDT model is validated by employing a modified IEEE 24-bus test system with multiple wind generators. It is observed that the IGDT proposal achieves operational cost savings and adequately integrates renewable energy generation. The numerical results indicate that the proposed IGDT framework can help operators make decisions based on achieving a target cost for a given level of uncertainty.

AB - Economic dispatch (ED) is crucial for efficiently operating a power grid. Critical grid operations are impacted by the uncertainty of renewable sources, which poses operational challenges for grid operations. Therefore, this study proposes an economic dispatch model that accounts for the uncertainty of renewable generation. The framework models and incorporates uncertainty into the ED formulation using the Information Gap Decision Theory (IGDT). To this end, a multiobjective risk-Averse IGDT model is developed, enabling the operator to evaluate uncertainty-Associated risks. Subsequently, the IGDT model is validated by employing a modified IEEE 24-bus test system with multiple wind generators. It is observed that the IGDT proposal achieves operational cost savings and adequately integrates renewable energy generation. The numerical results indicate that the proposed IGDT framework can help operators make decisions based on achieving a target cost for a given level of uncertainty.

KW - economic dispatch

KW - information gap decision theory

KW - renewable generation

KW - renewable integration

KW - risk-Averse

KW - uncertainty

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DO - 10.1109/CCAC58200.2023.10333545

M3 - Conference contribution

AN - SCOPUS:85180801695

T3 - Proceedings of the 2023 IEEE 6th Colombian Conference on Automatic Control, CCAC 2023

BT - Proceedings of the 2023 IEEE 6th Colombian Conference on Automatic Control, CCAC 2023

A2 - Martiinez, Diana Marcela Ovalle

A2 - Alfonso, Luis Francisco Combita

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE Colombian Conference on Automatic Control, CCAC 2023

Y2 - 17 October 2023 through 20 October 2023

ER -

Tinitana JC, Correa-Florez C, Patino D , Vuelvas J, Aleaga L, Carrion J. IGDT-based Robust Economic Dispatch Problem with Wind Power Integration. In Martiinez DMO, Alfonso LFC, editors, Proceedings of the 2023 IEEE 6th Colombian Conference on Automatic Control, CCAC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings of the 2023 IEEE 6th Colombian Conference on Automatic Control, CCAC 2023). doi: 10.1109/CCAC58200.2023.10333545

IGDT-based Robust Economic Dispatch Problem with Wind Power Integration

Abstract

Publication series

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UN SDGs

Keywords

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