About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Journal article

Optimization Method for Resilience of Integrated Electric-gas System With Consideration of Cyber Coupling

From

Shandong University1

Department of Electrical Engineering, Technical University of Denmark2

Center for Electric Power and Energy, Centers, Technical University of Denmark3

Electric Power Systems, Center for Electric Power and Energy, Centers, Technical University of Denmark4

Tianjin University5

The continuous development of information communication technology and energy coupling technology has gradually transformed traditional energy systems into modern integrated energy systems with typical cyber physical characteristics. Therefore, the resilience analysis of integrated energy systems in the context of cyber physical system is more complicated.

This paper described the interrelationships between cyber system and energy system in terms of control, energy supply, and network topology connection. At the same time, with the consideration of dynamic power flow of natural gas and the coupling relationship between physical layer and cyber layer in distribution network reconfiguration, a resilience optimization analysis model of integrated cyber electricity-gas system based on directed multicommodity flow model was established.

Moreover, a two-step optimization framework of resilience and economy was constructed. Firstly, the network reconfiguration was performed with the minimum load loss as the optimization goal, and then the economic operation optimization was solved by alternating direction multipliers method (ADMM) based on the network structure determined in the first step.

Finally, case study was presented to verify the validity and correctness of the model and method.

Language: Chinese
Year: 2020
Pages: 6854-6863
ISSN: 02588013
Types: Journal article
DOI: 10.13334/j.0258-8013.pcsee.200440
ORCIDs: Wu, Qiuwei

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis