Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/106314
Title: Reliability modeling and assessment of isolated microgrid considering influences of frequency control
Authors: Guo, Jing
Zhao, Tianyang
Liu, Wenxia
Zhang, Jianhua
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Frequency Control
Cyber Physical System
Issue Date: 2019
Source: Guo, J., Zhao, T., Liu, W., & Zhang, J. (2019). Reliability modeling and assessment of isolated microgrid considering influences of frequency control. IEEE Access, 7, 50362-50371. doi:10.1109/ACCESS.2019.2909153
Series/Report no.: IEEE Access
Abstract: Frequency control of isolated microgrid (MG) relies heavily on a safe and reliable cyber system. Random failures of cyber elements may cause the malfunction of the frequency control, resulting in reliability issues, e.g., load shedding or generation curtailment. A reliability modeling and assessment method for isolated MG is proposed, considering the influence of frequency control from cyber physical system perspectives. The frequency control process is modeled to establish the interdependencies between a cyber system and physical system within MGs. An assessment method is proposed to quantify the impacts of cyber element failures based on the frequency control models. A set of novel reliability index is defined to illustrate impacts of frequency control malfunction on the MG reliability. The sequential Monte Carlo simulation method is adopted to assess the reliability of MGs considering the malfunction of frequency control. The effectiveness of proposed models and indices is demonstrated by the case studies on an isolated MG. The test results indicate that the frequency control malfunction caused by the failures of cyber elements has a great impact on MG reliability. This research can provide technical support for the planning and operation of isolated MGs.
URI: https://hdl.handle.net/10356/106314
http://hdl.handle.net/10220/48925
DOI: 10.1109/ACCESS.2019.2909153
Research Centres: Energy Research Institute @ NTU (ERI@N) 
Rights: © 2019 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ERI@N Journal Articles

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