Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/5833
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Stanković A. | en |
dc.contributor.author | Sarić, Andrija | en |
dc.date.accessioned | 2019-09-30T08:50:38Z | - |
dc.date.available | 2019-09-30T08:50:38Z | - |
dc.date.issued | 2016-07-01 | en |
dc.identifier.issn | 8858950 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/5833 | - |
dc.description.abstract | © 2015 IEEE. This paper proposes a tractable and scalable algorithm to identify and analyze bifurcation points of a large-scale power system model, which are directly related to dynamic voltage instability problems. Different types of bifurcations are analyzed, including: saddle-node (fold), Hopf, singularity-induced and limit-induced. An algorithm that combines optimization and predictor-corrector procedure is proposed for equilibrium tracing. The algorithm is based on calculation of only critical (rightmost and closest-to-zero) eigenvalues. The proposed algorithm is extended to the case of dynamic voltage stability assessment for power systems with optimized topology (simultaneously subjected to the topology control changes and generation re-dispatch). The proposed approach is illustrated on two (medium- and large-scale real-world) test power systems. | en |
dc.relation.ispartof | IEEE Transactions on Power Systems | en |
dc.title | Dynamic Voltage Stability Assessment in Large Power Systems With Topology Control Actions | en |
dc.type | Journal/Magazine Article | en |
dc.identifier.doi | 10.1109/TPWRS.2015.2445853 | en |
dc.identifier.scopus | 2-s2.0-84941336354 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/84941336354 | en |
dc.relation.lastpage | 2902 | en |
dc.relation.firstpage | 2892 | en |
dc.relation.issue | 4 | en |
dc.relation.volume | 31 | en |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | FTN Publikacije/Publications |
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