Ikhide, Monday, TENNAKOON, Sarath, GRIFFITHS, Alison, Subramanian, Sankara and Ha, Hengxu (2015) Fault detection in Multi-Terminal Modular Multilevel Converter (MMC) based High Voltage DC (HVDC) transmission system. In: 2015 50th International Universities Power Engineering Conference (UPEC), 1-4 Sept. 2015, Stoke on Trent, UK.
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Abstract or description
A Multi-Terminal High Voltage Direct Current (MT-HVDC) network is being considered for utilising the full potential of offshore wind power whereas its realisation is currently being hampered by protection issues. In this paper, a protection strategy for future DC grids based on Modular Multilevel Converter (MMC) based HVDC system is presented. Firstly, a fault detection technique based on initial di/dt measurement is presented and thereafter protection strategies for future DC grids are presented. The fault detection technique presented is based on estimating the initial rate of rise of the current, IRRC (di/dt) at fault inception using measured data and thereafter calculating the line inductance. The calculated line inductance is compared with a setting value to determine whether or not a fault has occurred, thus paving the way for a distance protection strategy. Simulations were carried out using Matlab/SIMULINK for varying fault distances. The results obtained show the validity of the technique in detecting and locating DC side short circuits. An advantage of this technique is that it relies only on information from the local end terminal and as such, no communication channel is required, hence satisfying the protection requirement of fast fault detection and location technique for MT-HVDC systems.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | © 2015 IEEE |
Faculty: | School of Creative Arts and Engineering > Engineering |
Event Title: | 2015 50th International Universities Power Engineering Conference (UPEC) |
Event Location: | Stoke on Trent, UK |
Event Dates: | 1-4 Sept. 2015 |
Depositing User: | Alison GRIFFITHS |
Date Deposited: | 18 Feb 2019 14:02 |
Last Modified: | 24 Feb 2023 13:53 |
URI: | https://eprints.staffs.ac.uk/id/eprint/5115 |