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
N1 - Publisher Copyright:
© 2023 IEEE.
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
UR - http://www.scopus.com/inward/record.url?scp=85180801695&partnerID=8YFLogxK
U2 - 10.1109/CCAC58200.2023.10333545
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 -