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Reliability Assessment of Electric Power Systems Using Monte Carlo Methods
Open accessAbstract
Introduction. Basic Concepts of Power System Reliability Evaluation. Elements of Monte Carlo Methods. Generating System Adequacy Assessment. Composite System Adequacy Assessment. Distribution System and Station Adequacy Assessment. Reliability Cost/Worth Assessment. Appendixes. Index.
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Cited by
Stochastic analyses of electric vehicle charging impacts on distribution network
Leou, R.-C., Su, C.-L., & Lu, C.-N. (2014) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2013.2291556 · Cited by 336
Power system reliability evaluation with SCADA cybersecurity considerations
Zhang, Y., Wang, L., Xiang, Y., & Ten, C.-W. (2015) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2015.2396994 · Cited by 239
Johansson, J., Hassel, H., & Zio, E. (2013) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2013.02.027 · Cited by 191
Fu, G., Wilkinson, S., Dawson, R. J., Fowler, H. J., Kilsby, C., Panteli, M., & Mancarella, P. (2018) · IEEE Systems Journal · doi:10.1109/jsyst.2017.2700791 · Cited by 92
Metadata
- Authors
- Billinton, R., & Li, W.
- Venue
- Springer eBooks
- Publisher
- Springer US
- Published
- 1994
- OpenAlex
- W1486460655
- Cited by
- 1,776
- References
- 0
- FWCI
- 7.72
- Type
- book
- Language
- en
- Open access
- green
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- Billinton, R., & Li, W. (1994). Reliability Assessment of Electric Power Systems Using Monte Carlo Methods. Springer eBooks. https://doi.org/10.1007/978-1-4899-1346-3
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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.