The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Technique for contingency monitoring and voltage collapse prediction
Abstract
Investigation and online monitoring of power system stability have become vital factors to electric utility suppliers. At present power system utilities operate very close to the limit of system stability owing to an increasing number of new economic and environmental restrictions. Researchers have been trying to find out the most effective way for online system status monitoring, so that necessary precautions can be taken prior to voltage collapse. Several methods have been proposed for analysing voltage collapse phenomena. An effective method for online system status monitoring and thus voltage collapse prediction is described. The basic methodology implied in this technique is the investigation of each line of the system through calculating line stability indices. The proposed method was tested on the IEEE 24-bus reliability test system and has been found to be accurate and precise in voltage collapse prediction. A comparative study with other methods has also been carried out indicating that the proposed method has some advantages over the others.
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Citations
Cites
Estimating the Voltage Stability of a Power System
Kessel, P., & Glavitsch, H. (1986) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.1986.4308013 · Cited by 1,113
Cited by
Adewuyi, O. B., Shigenobu, R., Ooya, K., Senjyu, T., & Howlader, A. M. (2019) · Electric Power Systems Research · doi:10.1016/j.epsr.2019.04.004 · Cited by 72
Voltage stability indices studies on optimal location of wind farm in distribution network
Ismail, B., Naain, M. M., Wahab, N. I. A., Shaberon, N. S. M., Awalin, L. J., & Alhamrouni, I. (2017) · 2017 IEEE Conference on Energy Conversion (CENCON) · doi:10.1109/cencon.2017.8262468 · Cited by 12
Metadata
- Authors
- Moghavvemi, M., & Omar, F. M.
- Venue
- IEE Proceedings - Generation, Transmission and Distribution
- Published
- 1998
- Volume
- 145
- Issue
- 6
- Pages
- 634
- ISSN
- 1350-2360 (ISSN-L)
- OpenAlex
- W2017140400
- Cited by
- 321
- References
- 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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