Context information-based cyber security defense of protection system

Su Sheng, Wai Lok Chan, K. K. Li, Duan Xianzhong, Zeng Xiangjun

Research output: Journal article publicationJournal articleAcademic researchpeer-review

52 Citations (Scopus)

Abstract

With the development of a substation automation system, it is now feasible for the intelligent electronic devices-based protection system to collect its measurements from electronic instrument transformers through a communication network such as an Ethernet-based local-area network. The application of a wide-area broadband network in power utilities introduces underlying danger for protection systems to maloperate when receiving fake data packages from an intruder. This paper proposes identifying a vicious fault by using context information, such as voltage and current, of the same substation. When the protection system detects a fault based on measurements transmitted through a network, it collects all measurements of the substation and feeds these data to a probabilistic neural network. Thereafter, the fault caused by fake data that differs from the known fault pattern can be identified and blocked.
Original languageEnglish
Pages (from-to)1477-1481
Number of pages5
JournalIEEE Transactions on Power Delivery
Volume22
Issue number3
DOIs
Publication statusPublished - 1 Dec 2007

Keywords

  • Cyber security
  • Probabilistic neural networks (PNNs)
  • Substation automation systems

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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