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https://doi.org/10.21256/zhaw-25337| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | Evaluation of static network equivalent models for N-1 line contingency analysis |
| Authors: | Ramirez Gonzalez, Miguel Bossio, Martina Segundo Sevilla, Felix Rafael Korba, Petr |
| et. al: | No |
| DOI: | 10.1109/GPECOM55404.2022.9815713 10.21256/zhaw-25337 |
| Proceedings: | Proceedings of IEEE GPECOM 2022 |
| Page(s): | 328 |
| Pages to: | 333 |
| Conference details: | 4th Global Power, Energy and Communication Conference (GPECOM), Cappadocia, Turkey, 14-17 June 2022 |
| Issue Date: | 2022 |
| Publisher / Ed. Institution: | IEEE |
| Publisher / Ed. Institution: | New York |
| ISBN: | 978-1-6654-6925-8 |
| Language: | English |
| Subjects: | Static network equivalent; Line contingency analysis; Static security assessment; Power system stability |
| Subject (DDC): | 621.3: Electrical, communications, control engineering |
| Abstract: | Although large scale simulation models may better represent the behavior of practical power systems, they are time-consuming and turn out to be impractical for some desired applications, particularly when the focus of the study is on only a small portion of the entire system and the use of a complete model would dramatically increase the computational effort and time. Therefore, network equivalent models can be used in this case to facilitate and accelerate the completion of the required analysis related to the specific subsystem. In this sense, and considering here small and large sample networks, the evaluation of static equivalents derived from popular Ward and REI reduction methods is presented in this paper. The performance of the reduced networks is assessed under the N-1 contingency criteria, and takes into account not only the base case condition but also post contingency response with the whole set of lines in the particular area of study. Obtained equivalents are compared in simulation in terms of deviations from the original system and average computational time needed to complete the involved power flow calculations. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/25337 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Energy Systems and Fluid Engineering (IEFE) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2022_Ramirez-etal_Evaluation-static-network-quivalent-models_IEEE.pdf | Accepted Version | 870.46 kB | Adobe PDF |  View/Open |
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Ramirez Gonzalez, M., Bossio, M., Segundo Sevilla, F. R., & Korba, P. (2022). Evaluation of static network equivalent models for N-1 line contingency analysis [Conference paper]. Proceedings of IEEE GPECOM 2022, 328–333. https://doi.org/10.1109/GPECOM55404.2022.9815713
Ramirez Gonzalez, M. et al. (2022) ‘Evaluation of static network equivalent models for N-1 line contingency analysis’, in Proceedings of IEEE GPECOM 2022. New York: IEEE, pp. 328–333. Available at: https://doi.org/10.1109/GPECOM55404.2022.9815713.
M. Ramirez Gonzalez, M. Bossio, F. R. Segundo Sevilla, and P. Korba, “Evaluation of static network equivalent models for N-1 line contingency analysis,” in Proceedings of IEEE GPECOM 2022, 2022, pp. 328–333. doi: 10.1109/GPECOM55404.2022.9815713.
RAMIREZ GONZALEZ, Miguel, Martina BOSSIO, Felix Rafael SEGUNDO SEVILLA und Petr KORBA, 2022. Evaluation of static network equivalent models for N-1 line contingency analysis. In: Proceedings of IEEE GPECOM 2022. Conference paper. New York: IEEE. 2022. S. 328–333. ISBN 978-1-6654-6925-8
Ramirez Gonzalez, Miguel, Martina Bossio, Felix Rafael Segundo Sevilla, and Petr Korba. 2022. “Evaluation of Static Network Equivalent Models for N-1 Line Contingency Analysis.” Conference paper. In Proceedings of IEEE GPECOM 2022, 328–33. New York: IEEE. https://doi.org/10.1109/GPECOM55404.2022.9815713.
Ramirez Gonzalez, Miguel, et al. “Evaluation of Static Network Equivalent Models for N-1 Line Contingency Analysis.” Proceedings of IEEE GPECOM 2022, IEEE, 2022, pp. 328–33, https://doi.org/10.1109/GPECOM55404.2022.9815713.
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