dc.contributor.author |
Manoharan, S. |
|
dc.contributor.author |
Gnanambal, K. |
|
dc.date.accessioned |
2024-09-20T07:28:37Z |
|
dc.date.available |
2024-09-20T07:28:37Z |
|
dc.date.issued |
2020 |
|
dc.identifier.citation |
Manoharan, S.; Gnanambal, S.: Online monitoring of maximum allowable load at different buses using ABC algorithm and artificial neural network. Timişoara: Editura Politehnica, 2020. |
en_US |
dc.identifier.issn |
1582-4594 |
|
dc.identifier.uri |
https://dspace.upt.ro/xmlui/handle/123456789/6623 |
|
dc.description.abstract |
The power demand is increasing day by day. It is
essential to determine the maximum load that can be imposed at
each load bus. The maximum allowable load is the maximum
load that can be applied at different load buses without violating
the voltage at these buses. In this paper, the maximum
loadability limit that can be imposed at different buses of power
system is determined by using Artificial Bee Colony algorithm
(ABC). The loadability limit is calculated with and without line
outages. The results obtained using the proposed hybrid
algorithm is compared with the results obtained by existing
algorithms. Even though the algorithm provides better results
than the existing algorithms, it cannot be applied for on line
application. For online monitoring and loading, Artificial
Neural Network (ANN) is used. The trained ANN is used for the
online monitoring of the buses. The proposed work is validated
by testing on IEEE30 bus system. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Timișoara : Editura Politehnica |
en_US |
dc.relation.ispartofseries |
Journal of Electrical Engineering;Vol 20 No 3 |
|
dc.subject |
Maximum allowable load |
en_US |
dc.subject |
Artificial Bee Colony (ABC) |
en_US |
dc.subject |
Artificial Neural Network (ANN) |
en_US |
dc.subject |
Smart Grid |
en_US |
dc.title |
Online monitoring of maximum allowable load at different buses using ABC algorithm and artificial neural network [articol] |
en_US |
dc.type |
Article |
en_US |