Research on the Attack Strategy of Multifunctional Market Trading Oriented to Price
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Published:2023-11-22
Issue:23
Volume:11
Page:4728
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ISSN:2227-7390
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Container-title:Mathematics
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language:en
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Short-container-title:Mathematics
Author:
Tian Jiaqi1, Huang Bonan1ORCID, Shi Zewen2, Liu Lu3, Feng Lihong1, Jing Guoxiu1
Affiliation:
1. Department of Information Science and Engineering, Northeastern University, Shenyang 110819, China 2. Zhangjiakou Power Supply Company of Jibei Electric Power Company Limited, Zhangjiakou 075000, China 3. Navigation College, Dalian Maritime University, Dalian 116026, China
Abstract
In the context of energy transformation and power market system reform, it is crucial to address the network risks associated with enhancing the integration of the “Energy–Information–Market” paradigm. This necessitates research on multi-energy market trading modes and the corresponding offensive and defensive technologies. This paper proposes a novel approach centered around a node-local Energy Hub (EH) that represents large industrial users with diverse energy demands. To facilitate multi-energy two-way trading, a price-oriented Transactive Energy (TE) market clearing strategy is developed. Building upon this transaction network framework, a data-driven attack strategy targeting the state estimator of the Transmission System Operator (TSO) is introduced and implemented in two stages, encompassing real-time topology estimation and False Data Injection attacks. By leveraging Matrix Transfer Entropy (MTE), the optimal attack target is identified to disrupt the economic stability of the system and the profit of the attacker increases significantly. The proposed attack strategy is validated through simulations conducted on a 30-node system, yielding conclusive evidence of its effectiveness while offering vital insights for system defense.
Funder
National Natural Science Foundation of China Liaoning Revitalization Talents Program
Subject
General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)
Reference37 articles.
1. Favre-Perrod, P. (2005, January 11–15). A vision of future energy networks. Proceedings of the 2005 IEEE Power Engineering Society Inaugural Conference and Exposition in Africa, Durban, South Africa. 2. A Stealthy Attack Against Electricity Market Using Independent Component Analysis;Esmalifalak;IEEE Syst. J.,2018 3. Opportunities for Price Manipulation by Aggregators in Electricity Markets;Dvijotham;IEEE Trans. Smart Grid,2018 4. Li, T., Huang, R., Chen, L., Jensen, C.S., and Pedersen, T.B. (September, January 31). Compression of Uncertain Trajectories in Road Networks. Proceedings of the 46th International Conference on Very Large Data Bases, Online. 5. Teng, F., Zhang, Y., Yang, T., Li, T., Xiao, Y., and Li, Y. (2023). Distributed Optimal Energy Management for We-Energy Considering Operation Security. IEEE Trans. Netw. Sci. Eng.
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