Voltage Profile Improvement Using DSTATCOM Based on Artificial Intelligent Techniques

dc.contributor.advisorZaro, Fouad
dc.contributor.authorSaafin, Zaher Abdullah
dc.date.accessioned2019-06-17T05:40:13Z
dc.date.accessioned2022-05-11T05:43:30Z
dc.date.available2019-06-17T05:40:13Z
dc.date.available2022-05-11T05:43:30Z
dc.date.issued1/1/2019
dc.descriptionCD , no of pages 89, 31028 , Electrical engineering 6/2019
dc.description.abstractRecently 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.identifier.urihttp://test.ppu.edu/handle/123456789/1607
dc.language.isoenen_US
dc.publisherPalestine Polytechnic University (PPU)en_US
dc.subjectDSTATCOMen_US
dc.subjectArtificial Intelligent Techniquesen_US
dc.titleVoltage Profile Improvement Using DSTATCOM Based on Artificial Intelligent Techniquesen_US
dc.typeOtheren_US

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