Resilience-oriented Operation of Distribution Networks in Presence of Demand Response

被引:0
作者
Aghdam, Farid Hamzeh [1 ]
Zavodovski, Aleksandr [1 ]
Adetunji, Adeleye [1 ]
Pongracz, Eva [1 ]
Rasti, Mehdi [1 ,2 ]
机构
[1] Univ Oulu, Water Energy & Environm Engn Res Unit, Oulu, Finland
[2] Ctr Wireless Commun, Oulu, Finland
来源
2024 INTERNATIONAL WORKSHOP ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR ENERGY TRANSFORMATION, AIE 2024 | 2024年
基金
芬兰科学院;
关键词
Resilience; Demand Response Programs; Optimal Operation; Distributed Energy Resources; Smart Grids; DISTRIBUTION-SYSTEMS; MICROGRIDS; RESOURCES; ENERGY;
D O I
10.1109/AIE61866.2024.10561361
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页数:6
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