dc.contributor.advisor |
Zaro, Fouad |
|
dc.contributor.author |
Saafin, Zaher Abdullah |
|
dc.date.accessioned |
2019-06-17T05:40:13Z |
|
dc.date.accessioned |
2022-05-11T05:43:30Z |
|
dc.date.available |
2019-06-17T05:40:13Z |
|
dc.date.available |
2022-05-11T05:43:30Z |
|
dc.date.issued |
1/1/2019 |
|
dc.identifier.uri |
http://test.ppu.edu/handle/123456789/1607 |
|
dc.description |
CD , no of pages 89, 31028 , Electrical engineering 6/2019 |
|
dc.description.abstract |
Recently the demand of electric power is increased due increasing the residential
and industrial facilities which may contain sensitive nonlinear loads that needed
high power quality (PQ) on distribution system to avoid malfunction operation.
One main PQ issue is voltage profile improvement with acceptable voltage harmonic
distortion. It should be regulated to be within acceptable standard levels.
In order to improve the voltage profile, the distribution static synchronous compensator
(DSTATCOM) is used with developed control strategy.
In this research DSTATCOM control is developed based on artificial intelligent (AI)
using artificial neural network(ANN), which depends on optimum values obtained
by using particle swarm optimization (PSO). The results of simulation proved the
superiority and robustness of the proposed control strategy of DSTATCOM for improving
the voltage profile on distribution system. The validation of results have
been done by MATLAB/Simulink software package. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Palestine Polytechnic University (PPU) |
en_US |
dc.subject |
DSTATCOM |
en_US |
dc.subject |
Artificial Intelligent Techniques |
en_US |
dc.title |
Voltage Profile Improvement Using DSTATCOM Based on Artificial Intelligent Techniques |
en_US |
dc.type |
Other |
en_US |