Comprehensive situation awareness in a very large power grid control center

Wang, Xing; Castelli, Gennaro; Chiu, But-Chung; Xu, Jing; Sun, D.

doi:10.1109/tdc.2012.6281461

Cited by 3 publications

(1 citation statement)

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“…Although some schemes have been proposed for the situational awareness for smart grid, these works cannot address above challenges. For example, the work in [18] presented a comprehensive security monitoring and warning system implemented on the North China Grid. Although the scheme has significantly enhanced the operator's situational awareness for operating a very large power grid, it was proposed specifically for the power grid control center, and cannot cover highaly complex and smart behaviors of the entire grid.…”

Section: Background and Related Workmentioning

confidence: 99%

Big Data Analysis-Based Security Situational Awareness for Smart Grid

Ota

Dong

et al. 2018

IEEE Trans. Big Data

120

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Advanced communications and data processing technologies bring great benefits to the smart grid. However, cybersecurity threats also extend from the information system to the smart grid. The existing security works for smart grid focus on traditional protection and detection methods. However, a lot of threats occur in a very short time and overlooked by exiting security components. These threats usually have huge impacts on smart gird and disturb its normal operation. Moreover, it is too late to take action to defend against the threats once they are detected, and damages could be difficult to repair. To address this issue, this paper proposes a security situational awareness mechanism based on the analysis of big data in the smart grid. Fuzzy cluster based analytical method, game theory and reinforcement learning are integrated seamlessly to perform the security situational analysis for the smart grid. The simulation and experimental results show the advantages of our scheme in terms of high efficiency and low error rate for security situational awareness.

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Section: Background and Related Workmentioning

confidence: 99%