Integrated Intelligent Energy ›› 2025, Vol. 47 ›› Issue (11): 87-95.doi: 10.3969/j.issn.2097-0706.2025.11.008

• Power Data Security • Previous Articles     Next Articles

Coordinated false data injection attacks against distributed economic dispatch of electricity-gas integrated energy system

FAN Yuxina,b,c(), LI Yongminga,b,c(), SU Leia,b,c,*()   

  1. a. Xinjiang University, School of Computer Science and Technology Urumqi 830046,China
    b. Xinjiang University, Xinjiang Multimodal Intelligent Processing and Information Security Engineering Technology Research Center Urumqi 830046,China
    c. Xinjiang University, Xinjiang Network Node of Pengcheng Laboratory, Xinjiang University,Urumqi 830046,China
  • Received:2025-06-25 Revised:2025-10-10 Published:2025-11-25
  • Contact: SU Lei E-mail:17667411303@163.com;lym@xju.edu.cn;sul@xju.edu.cn
  • Supported by:
    National Natural Sciences Foundation of China (62403404);Natural Science Foundation of Xinjiang Uygur Autonomous Region (2024D01C238);China Postdoctoral Science Foundation(2024M762716)

Abstract:

Multi-energy flow scheduling utilizes information technology to break down the barriers between traditional energy systems, thereby forming an efficient and complementary energy supply system. However, the transmission of a large amount of measurement and control data between energy systems also increases their risk of being subjected to cyberattacks. To clarify the potential attack patterns of false data injection attacks (FDIA) in integrated energy systems (IES), a distributed scheduling-oriented modeling method for coordinated FDIA in the electricity-gas system was proposed. This method considered the influence of different management entities of electricity and gas in the IES, and established a distributed bilevel programming model. Additionally, it designed a bilevel nested distributed solution framework by integrating the alternating direction method of multipliers, protecting the privacy of data from each entity. Meanwhile, convex relaxation techniques were used to transform the Weymouth equation in the natural gas system into a tractable convex constraint form, facilitating the efficient solution of the model. Tests were conducted in an electricity-gas IES interconnected with the IEEE 39-bus and the Belgian 20-bus systems. The results showed that the destructive effect of the coordinated FDIA could be transmitted through coupling devices in the system, forcing the system to shed nearly 70% of the load. Meanwhile, the distributed solution algorithm could converge within a limited number of iterations, and the relative error compared with the centralized method was controlled within 1.4%. The proposed method provides an effective tool for analyzing the attack patterns of FDIA in IES under distributed architectures

Key words: integrated energy system, coordinated false data injection attacks, distributed solving algorithm, bilevel programming, convex relaxation, multi-energy flow scheduling

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