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Survey of active power line conditioning methodologies
Abstract
Active power-line conditioning (APLC) is a concept that can potentially correct network distortion caused by power electronic loads by injecting equal-but-opposite distortion at carefully selected points in a network. Results are presented of an extensive literary survey on the subject of APLCs. Thirty-seven key publications are identified and reviewed. Existing and proposed line-conditioning methodologies are compared, and a list of the advantages and limitations of each is presented.>
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Cited by
A review of active filters for power quality improvement
Singh, B., Al-Haddad, K., & Chandra, A. (1999) · IEEE Transactions on Industrial Electronics · doi:10.1109/41.793345 · Cited by 2,361
A Review of Three-Phase Improved Power Quality AC–DC Converters
Singh, B., Singh, B. N., Chandra, A., Al-Haddad, K., Pandey, A., & Kothari, D. P. (2004) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2004.825341 · Cited by 1,728
A review of single-phase improved power quality ac~dc converters
Singh, B., Singh, B. N., Chandra, A., Al-Haddad, K., Pandey, A., & Kothari, D. P. (2003) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2003.817609 · Cited by 1,297
Metadata
- Authors
- Grady, W. M., Samotyj, M. J., & Noyola, A. H.
- Venue
- IEEE Transactions on Power Delivery
- Published
- 1990-07
- Volume
- 5
- Issue
- 3
- Pages
- 1536-1542
- ISSN
- 0885-8977 (ISSN-L)
- OpenAlex
- W2010520667
- Cited by
- 562
- References
- 0
- FWCI
- 2.86
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Survey of active power line conditioning methodologies. https://app.cochat.ai/papers/10.1109/61.57998
- The paper
- Grady, W. M., Samotyj, M. J., & Noyola, A. H. (1990). Survey of active power line conditioning methodologies. IEEE Transactions on Power Delivery. https://doi.org/10.1109/61.57998
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
