dc.contributor.author |
Hatziargyriou, ND |
en |
dc.contributor.author |
Contaxis, GC |
en |
dc.contributor.author |
Sideris, NC |
en |
dc.date.accessioned |
2014-03-01T01:09:39Z |
|
dc.date.available |
2014-03-01T01:09:39Z |
|
dc.date.issued |
1994 |
en |
dc.identifier.issn |
0885-8950 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/11123 |
|
dc.subject |
EXPERT SYSTEMS |
en |
dc.subject |
INDUCTIVE INFERENCE |
en |
dc.subject |
DECISION TREES |
en |
dc.subject |
LEARNING SET |
en |
dc.subject |
STEADY STATE SECURITY |
en |
dc.subject |
PREVENTIVE CONTROL |
en |
dc.subject.classification |
Engineering, Electrical & Electronic |
en |
dc.subject.other |
Algorithms |
en |
dc.subject.other |
Decision theory |
en |
dc.subject.other |
Electric power system interconnection |
en |
dc.subject.other |
Inference engines |
en |
dc.subject.other |
Learning systems |
en |
dc.subject.other |
Maintenance |
en |
dc.subject.other |
Mathematical models |
en |
dc.subject.other |
Online systems |
en |
dc.subject.other |
Reliability |
en |
dc.subject.other |
Security systems |
en |
dc.subject.other |
State estimation |
en |
dc.subject.other |
Trees (mathematics) |
en |
dc.subject.other |
Decision tree method |
en |
dc.subject.other |
Inductive inference |
en |
dc.subject.other |
Learning set |
en |
dc.subject.other |
On line steady state security assessment |
en |
dc.subject.other |
Preventive control |
en |
dc.subject.other |
Electric power systems |
en |
dc.title |
Decision tree method for on-line steady state security assessment |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1109/59.317626 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/59.317626 |
en |
heal.language |
English |
en |
heal.publicationDate |
1994 |
en |
heal.abstract |
In this paper the application of an Inductive Inference (II) method to on-line Steady State Security Assessment of a power system is proposed. For each contingency a number of decision rules in the form of a Decision Tree (DT) is built off-line from a preclassified Learning Set (LS) consisting of operating points (OP) of the system. For the real time application of the method the DTs corresponding to the foreseen contingencies are searched on-line to provide optimal guidelines for preventive control of the system. The algorithm developed is applied to the steady state security assessment of a realistic model of the Hellenic Interconnected power system comprising 240 busbars, 270 branches, 57 transformers and 30 equivalent generators. |
en |
heal.publisher |
Publ by IEEE, Piscataway, NJ, United States |
en |
heal.journalName |
IEEE Transactions on Power Systems |
en |
dc.identifier.doi |
10.1109/59.317626 |
en |
dc.identifier.isi |
ISI:A1994NV46600064 |
en |
dc.identifier.volume |
9 |
en |
dc.identifier.issue |
2 |
en |
dc.identifier.spage |
1052 |
en |
dc.identifier.epage |
1060 |
en |