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Open Access

Evaluation Method for Voltage Fluctuation Performance Considering Cyber Soft Failure

Wenxia Liu, Hanshen Li, Yuchen Huang, Hui Han( ), Jun Li, Bing Liu
School of Electrical and Electronic Engineering, and the State Key Laboratory for Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Beiing 102206, China
State Grid Yinchuan Power Supply Company, Yinchuan 750002, China
China Academy of Ordnance Science, China North Industries Group Corporation Limited, Beijing 100089, China
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Abstract

Voltage regulation based upon cyber systems has been extensively used with the development of cyber-physical systems. Still, cyber failure may result in controlling failure, which inevitably has an effect on the overall voltage performance of distribution networks. In order to access the influence of a cyber fault on voltage regulation, a cyber system validity model considering cyber soft failure is proposed. The analytical approach of voltage fluctuation and measurement indices of voltage fluctuation are also developed. Based on a simulation of a IEEE 33-bus system, the proposed model is proved to simulate the voltage regulation process taking cyber soft failure into consideration. Each influence of different fault factors is analyzed, which provides practical technical support for the planning and operation of the distribution system. This paper provides strategies for the research into cyber fault of distribution networks, which has critical significance along with follow-up value.

Keywords

Cyber failurecyber power systemindices evaluationvoltage controlvoltage fluctuation

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CSEE Journal of Power and Energy Systems
Volume 8 Issue 1,
January 2022
Pages 86-94
DOI: 10.17775/CSEEJPES.2019.00710
Cite this article:
Liu W, Li H, Huang Y, et al. Evaluation Method for Voltage Fluctuation Performance Considering Cyber Soft Failure. CSEE Journal of Power and Energy Systems, 2022, 8(1): 86-94. https://doi.org/10.17775/CSEEJPES.2019.00710

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Received: 02 April 2019
Revised: 11 January 2020
Accepted: 05 March 2020
Published: 06 April 2020
© 2019 CSEE
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