Dynamic stability enhancement using genetic algorithm power system stabilizer

A. Al-Hinai*

*Corresponding author for this work

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

15 Citations (Scopus)

Abstract

In this paper the dynamics of a single machine connected to infinite bus power system is analyzed. Such analysis requires a certain level of system modeling. The main system components models are the synchronous machine, excitation system and the Power System Stabilizer. The Matlab/Simulink is used as a programming tool to analyze the system performance. According to the system performance a proper design for the Power System Stabilizer (PSS) using Genetic Algorithm (GA) is carried out. Then the designed PSS is implemented in the model and the dynamic system response is analyzed. Since the simulation results without PSS showed unacceptable system response, the system response with the PSS has improved and the PSS succeeded to stabilize an unstable system. The designed PSS has been implemented in a microcontroller. Finally, the system response with PSS-microcontroller has been tested and compared with the simulation results.

Original languageEnglish
Title of host publication2010 International Conference on Power System Technology
Subtitle of host publicationTechnological Innovations Making Power Grid Smarter, POWERCON2010
DOIs
Publication statusPublished - 2010
Event2010 International Conference on Power System Technology: Technological Innovations Making Power Grid Smarter, POWERCON2010 - Hangzhou, China
Duration: Oct 24 2010Oct 28 2010

Publication series

Name2010 International Conference on Power System Technology: Technological Innovations Making Power Grid Smarter, POWERCON2010

Other

Other2010 International Conference on Power System Technology: Technological Innovations Making Power Grid Smarter, POWERCON2010
Country/TerritoryChina
CityHangzhou
Period10/24/1010/28/10

Keywords

  • Dynamic stability
  • Genetic algorithm
  • Power system stabilizer

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

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