dc.contributor.author |
Sankar, S. |
|
dc.contributor.author |
Kumar, M. N. Saravana |
|
dc.date.accessioned |
2024-06-05T08:30:44Z |
|
dc.date.available |
2024-06-05T08:30:44Z |
|
dc.date.issued |
2021 |
|
dc.identifier.citation |
Sankar, S.; Kumar, M. N. Saravana. A novel Optimal Power Flow study with TCPS. Timişoara: Editura Politehnica, 2021. |
en_US |
dc.identifier.issn |
1582-4594 |
|
dc.identifier.uri |
https://dspace.upt.ro/xmlui/handle/123456789/6295 |
|
dc.description.abstract |
One of the really significant utility algorithms
available in an energy system to meet transmission and
operational constraints to produce lower cost generation patterns
is optimal power flow (OPF). In order to achieve a solution, a
large range of traditional techniques are available. The predicted
loads used in classical OPF algorithms are increasing over time in
everyday life and are also not fully error-free. By varying the
load requirements, the transmission lines are overloaded and
expected errors result in optimum system failure. Hence, in this
modern context, power flow analysis techniques could not be able
to include appropriate solution. To address the dynamic
optimization issue for the 30bus scheme, this paper presents a
simple dynamic programming analysis. Our aim is to reduce fuel
costs and maintain at their safe limits the tap-setting of power
requirements of alternators, line voltage magnitude, line
synchronous condensers / reactors and transformers. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Timișoara : Editura Politehnica |
en_US |
dc.relation.ispartofseries |
Journal of Electrical Engineering;Vol 21 No 2 |
|
dc.subject |
FACTS |
en_US |
dc.subject |
Genetic algorithm |
en_US |
dc.subject |
Power flow optimum |
en_US |
dc.title |
A novel Optimal Power Flow study with TCPS [articol] |
en_US |
dc.type |
Article |
en_US |