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  • 标题:MULTI-OBJECTIVE FUNCTION GA FOR MODAL OPTIMAL CONTROL DESIGN IN PSS AND UPFC POWER OSCILLATION DAMPING COORDINATION
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  • 作者:SASONGKO PRAMONO HADI ; RIAN FATAH MOCHAMAD ; HATTA IMADUDDIEN WIENNETOU
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2013
  • 卷号:51
  • 期号:3
  • 出版社:Journal of Theoretical and Applied
  • 摘要:This paper presents the design and simulation of controllers in power system equipped with UPFC. Each controller produce different supplementary signals, the power system stabilizer PSS signal for machine and the power oscillation damping POD signal for UPFC. A two stage lead lag compensator scheme was considered in the PSS structure. A new controller design, linear optimal control LOC associated with modal control scheme MO, is proposed in both PSS and POD design. The multi-objective GA method was used to determine the parameter controllers for both PSS and POD. The controller performances were investigated by using small disturbance to power system. The simulation results show that the presence of UPFC non POD leads to get less stability system. Appropriate PSS parameters have been determined and could enhance dynamic responses performance. Using Bryson method for weighting matrix Q, proposed LOC POD could improve system stability. The simulation results also show that system with PSS and MO POD has the best oscillation damping. The dominant eigenvalues shift and approach their real part threshold. POD controllers could give a better rotor angle response, up to 81.33% and 93.9% reduction in overshoot and settling time respectively. Both PSS and UPFC POD controller simultaneously present a positive interaction.
  • 关键词:Genetics Algorithm (GA) ; Modal Optimal (MO) control; power system stability; Unified Power Flow Controller (UPFC)
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