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Voltage Profile Improvement Using DSTATCOM Based on Artificial Intelligent Techniques

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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


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