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Single-Ended Fault Detection Scheme Using ANN for MTDC Systems

Published: 17 January 2024 Publication History

Abstract

A single-ended fault detection scheme for long transmission lines in MTDC girds based upon an artificial neural network (ANN) is proposed. The method overcomes existing detection difficulties in protection of long transmission line resulting from high grounding resistance and attenuation, and also avoids the sophisticated threshold value selection process. The amplitude of the zero-mode set of the positive-sequence voltage and high-frequency components of the voltage traveling wave extracted by a wavelet transform are the two inputs to an ANN. The output of the ANN determines the fault type. A model of a four-terminal dc grid with overhead transmission lines is built in PSCAD/EMTDC. EMT simulations results from this model confirm that the proposed method achieves 100% accuracy in detecting short-circuit faults with high resistance on long lines; the method eliminates mal-operation of DC circuit breakers when faced with power order changes or ac side faults. Its robustness is also assessed and shown to have no perceptible effect on the accuracy of the detection scheme, thus ensuring its reliability and stability.

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              PCCNT '23: Proceedings of the 2023 International Conference on Power, Communication, Computing and Networking Technologies
              September 2023
              552 pages
              ISBN:9781450399951
              DOI:10.1145/3630138
              Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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              Published: 17 January 2024

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              Author Tags

              1. ANN
              2. Fault detection
              3. MMC-MTDC grid
              4. short circuit fault
              5. wavelet transform

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