| Autor: |
Pushpendra Singh, L.S. Titare, S.C. Choube, L.D. Arya |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
Journal of Electrical Systems and Information Technology, Vol 5, Iss 3, Pp 576-593 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
2314-7172 |
| DOI: |
10.1016/j.jesit.2017.10.002 |
| Popis: |
This paper presents a new algorithm for voltage stability security assessment accounting uncertainties in the line parameters and control variables. Security index has been evaluated using Monte-Carlo simulation with & without consideration of unavailability of transmission lines, which is used to perform contingency selection. Further, probabilistic insecurity index at various loading conditions considering voltage stability limit has been obtained using cut-set method for single & double line outages. Static voltage stability limit for various sampled values of system parameters and control variables have been obtained using continuation power flow methodology. Few cases have been used to train back propagation algorithm (BPA). Obtained results for contingency selection based on security index have been compared with well-established methods. Keywords: Contingency ranking, Probabilistic insecurity index, Artificial neural network, Back propagation algorithm |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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