Power quality improvement using DVR with two fast vector control

Ali O. Al-Mathnani, Hussain Shareef, Azah Mohamed, Mohd Alauddin Mohd Ali Members, M. A. Hannan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Voltage sag and swell are the common problem for sensitive load. The impact range from load disruptions to substantial economic losses. The DVR is the best solution to protect the sensitive loads. This paper present a fast DVR with controller to compensate the short outage, reduced the harmonic distortion and transient voltage for balanced and unbalanced load. In-phase method with continues two vector control algorithm is used to detect and compensate AV and AQ variables during voltage sag and voltage compensation. When there is any phase angle or phase jump in supply voltage the reference voltage is adjusted to track the phase angle of the supply voltage. A phase locked loop is used to keep the load voltage synchronized continuously and tracks the source voltage. It is shown that the proposed DVR controller improves the system power quality. Photovoltaic (PV) system with boost converter is designed to maintain the DC source voltage. Simulation was carried out using PSCAD/EMTDC.

Original languageEnglish
Title of host publicationPEOCO 2010 - 4th International Power Engineering and Optimization Conference, Program and Abstracts
Pages376-381
Number of pages6
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event4th International Power Engineering and Optimization Conference, PEOCO 2010 - Shah Alam, Malaysia
Duration: Jun 23 2010Jun 24 2010

Publication series

NamePEOCO 2010 - 4th International Power Engineering and Optimization Conference, Program and Abstracts

Conference

Conference4th International Power Engineering and Optimization Conference, PEOCO 2010
Country/TerritoryMalaysia
CityShah Alam
Period6/23/106/24/10

Keywords

  • DVR
  • PV
  • Power quality
  • Two vector control
  • Voltage sag

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Optimization

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