Abstract:
Harmonic pollution metering based on distortion indices are evaluated using field data obtained at a large industrial plant where the performance of harmonic filters is u...Show MoreMetadata
Abstract:
Harmonic pollution metering based on distortion indices are evaluated using field data obtained at a large industrial plant where the performance of harmonic filters is unknown. It is shown that by application of a fuzzy inference approach and a global harmonic distortion index, that a better understanding of contractual obligations to harmonic emission can be realized. Measurement uncertainty requires careful consideration when using field data. Tuning of fuzzy variables have to reflect the specific network under investigation.
Published in: 2019 IEEE 10th International Workshop on Applied Measurements for Power Systems (AMPS)
Date of Conference: 25-27 September 2019
Date Added to IEEE Xplore: 14 November 2019
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North-West University, Potchefstroom, South Africa
North-West University, Potchefstroom, South Africa
North-West University, Potchefstroom, South Africa
North-West University, Potchefstroom, South Africa
North-West University, Potchefstroom, South Africa
North-West University, Potchefstroom, South Africa