Journal
IET GENERATION TRANSMISSION & DISTRIBUTION
Volume 12, Issue 13, Pages 3305-3313Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-gtd.2017.1801
Keywords
distributed power generation; fault location; power generation faults; power generation protection; power system measurement; fault currents; synchronisation; telecommunication networks; real-time digital simulator; ring-type multisource DC microgrid system; residual analysis; confidence level; model consistency; faulted cable section; mathematical model; online fault location method; fast communication network; data synchronisation; communication-based techniques; fault current; source capacitors; online fault distance estimation; low cable impedances; power electronic converters; fault detection and isolation; fault location estimation; local measurement-based technique
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Funding
- Department of Science and Technology (DST) Indo-US Science and Technology Forum (IUSSTF), New Delhi, India, under Indo-US project (UI-ASSIST) [IUSSTF/EE/2017282B]
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Quick fault detection and isolation of faulty section are desired in DC microgrid due to the presence of power electronic converters and low cable impedances. Owing to need of fast disconnection, limited time and data are available for online fault distance estimation. Some of the existing techniques consider source capacitors connected at only one end of the cable; therefore, assume that the fault current is contributed by only one end of the cable. This may not be true in the case of multi-source DC microgrids, where fault current would be supplied from both the ends. Further, existing communication-based techniques require either data synchronisation or fast communication network. To address these issues, this study proposes an online fault location method for multi-source DC microgrid without using communication. The mathematical model of faulted cable section connected to sources at both the ends is derived. This model is used along with the measurements to determine the fault distance. The model consistency with the measurements is quantified using the confidence level based on the residual analysis. A ring-type multi-source DC microgrid system is considered and simulated on real-time digital simulator to demonstrate the effectiveness of the proposed algorithm.
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