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Discussion of Power System Operation Risk Control Technology in Natural Disasters

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Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control (PMF 2019, PMF 2021)

Abstract

It has become a common consensus that the blackout defense framework has been extended to the early warning of natural disasters. Due to the spatial and temporal distribution characteristics of natural disasters’ evolution, and fault uncertainty induced by natural disasters, it is urgent to extend the safety and stability analysis of power system based on deterministic criterion to the operation risk assessment, to extend traditional safety and stability control based on deterministic scenarios listed in three-defense-lines to risk control. In this paper, several key technologies in the field of disaster prevention, namely fault probability assessment, contingency set generation and screening, operation risk assessment and risk control decision-making, are reviewed firstly. Secondly, the risk control framework which is compatible with traditional three-defense-lines and suitable of natural disasters characteristics is discussed. Then the improved method of improving the mentioned key technologies is proposed under the risk control framework.

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Acknowledgements

This work is supported by Science and technology project of SGCC, “Research and engineering application on the optimal disposal technology of cascading failure caused by fire in UHV and important interregional power grid”. And thanks to doctoral student WU Hao for his contribution to the documentation of this paper.

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Correspondence to Kang Chang .

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Chang, K., Zhao, M., Yu, C., Guo, J., Wang, H., Xu, T. (2020). Discussion of Power System Operation Risk Control Technology in Natural Disasters. In: Xue, Y., Zheng, Y., Rahman, S. (eds) Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control. PMF PMF 2019 2021. Lecture Notes in Electrical Engineering, vol 584. Springer, Singapore. https://doi.org/10.1007/978-981-13-9779-0_4

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  • DOI: https://doi.org/10.1007/978-981-13-9779-0_4

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