Resilience-Oriented Operation of Distribution Networks in Presence of Demand Response
Aghdam, Farid Hamzeh; Zavodovski, Aleksandr; Adetunji, Adeleye; Pongracz, Eva; Rasti, Mehdi (2024-06-25)
IEEE
25.06.2024
F. H. Aghdam, A. Zavodovski, A. Adetunji, E. Pongracz and M. Rasti, "Resilience-Oriented Operation of Distribution Networks in Presence of Demand Response," 2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE), Vaasa, Finland, 2024, pp. 1-6, doi: 10.1109/AIE61866.2024.10561361.
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© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202504092498
https://urn.fi/URN:NBN:fi:oulu-202504092498
Tiivistelmä
Abstract
The resilience of distribution networks is becoming increasingly critical in the face of growing uncertainties and challenges, including climate change impacts, aging infrastructure, and evolving energy consumption patterns. This paper explores the integration of demand response (DR) mechanisms into distribution network operations to enhance resilience. By leveraging DR, distribution networks can dynamically manage energy consumption in response to changing grid conditions and disruptions, thereby mitigating risks and improving system reliability. The paper examines the potential benefits, challenges, and best practices associated with implementing DR in distribution networks to enhance resilience. The insights presented in this paper contribute to the development of effective strategies for enhancing the resilience of distribution networks in the presence of demand response programs. Finally, simulations in the GAMS environment and IEEE 33-bus distribution test network are performed to validate the effectiveness of the proposed strategy.
The resilience of distribution networks is becoming increasingly critical in the face of growing uncertainties and challenges, including climate change impacts, aging infrastructure, and evolving energy consumption patterns. This paper explores the integration of demand response (DR) mechanisms into distribution network operations to enhance resilience. By leveraging DR, distribution networks can dynamically manage energy consumption in response to changing grid conditions and disruptions, thereby mitigating risks and improving system reliability. The paper examines the potential benefits, challenges, and best practices associated with implementing DR in distribution networks to enhance resilience. The insights presented in this paper contribute to the development of effective strategies for enhancing the resilience of distribution networks in the presence of demand response programs. Finally, simulations in the GAMS environment and IEEE 33-bus distribution test network are performed to validate the effectiveness of the proposed strategy.
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