Effects of QV curves in the dynamic behaviour of power systems

This study addresses some issues related to reactive power support in electric power systems. This study considers the QV curve as a tool for indicating the robustness of generators in terms of their reactive power margin (RPM). The QV curve yields information that is then considered for contingency studies. Then, the dynamic behaviour of a system with respect to the RPM is investigated. A positive margin, the study shows, may drive a system to instability. To move the system to a secure region, fuzzy logic is proposed and the effects are dynamically analysed. To simulate the proposed methodology, the study employs a sample system of five buses and a real Brazilian system.

[1]  B.I.L. Lopes,et al.  Unified computational tool for transient and long-term stability studies , 2009 .

[2]  Hsiao-Dong Chiang,et al.  Toward a practical performance index for predicting voltage collapse in electric power systems , 1995 .

[3]  A.C.Z. de Souza,et al.  Tracing PV and QV curves with the help of a CRIC continuation method , 2006, IEEE Transactions on Power Systems.

[4]  Isaías Lima,et al.  Load margin assessment of systems with distributed generation with the help of a neuro-fuzzy method , 2015 .

[5]  A.C.Z. de Souza,et al.  Comparison of performance indices for detection of proximity to voltage collapse , 1996 .

[6]  D.M. Falcao,et al.  Benefits of applying secondary voltage control schemes to the Brazilian system , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[7]  G. C. Contaxis,et al.  Decoupled Optimal Load Flow Using Linear or Quadratic Programming , 1986, IEEE Transactions on Power Systems.

[8]  Diogo Marujo,et al.  On Control Actions Effects by Using ${\rm QV}$ Curves , 2015, IEEE Transactions on Power Systems.

[9]  Carlos A. Castro,et al.  AN EFFICIENT SENSITIVITY ANALYSIS BASED METHOD FOR CALCULATING LOAD MARGINS TO VOLTAGE COLLAPSE , 1999 .

[10]  Costas Vournas,et al.  Voltage stability analysis in transient and mid-term time scales , 1996 .

[11]  Claudio A. Canizares,et al.  Point of collapse and continuation methods for large AC/DC systems , 1993 .

[12]  Matheus F. Z. Souza On rural microgrids design - a case study in Brazil , 2015, 2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM).

[13]  Carlos A. Castro,et al.  Practical method for computing the maximum loading point using a load flow with step size optimisation , 2011 .

[14]  Ricardo B. Prada,et al.  Identifying Voltage Control Areas Based on the Interdependence of Control Equipment , 2013 .

[15]  Leon Y. Bahar,et al.  Static bifurcations in electric power networks: Loss of steady-state stability and voltage collapse , 1986 .

[16]  A.A.P. Lerm,et al.  Avoiding Hopf bifurcations in power systems via set-points tuning , 2004, IEEE Transactions on Power Systems.

[17]  A. C. Zambroni de Souza,et al.  Using PV and QV curves with the meaning of static contingency screening and planning , 2011 .

[18]  Venkataramana Ajjarapu,et al.  An approach for real time voltage stability margin control via reactive power reserve sensitivities , 2013, IEEE Transactions on Power Systems.

[19]  Santiago P. Torres,et al.  Expansion planning for smart transmission grids using AC model and shunt compensation , 2014 .

[20]  A. C. Zambroni de Souza Discussion on some voltage collapse indices , 2000 .

[21]  R. Salgado,et al.  Critical Solutions of Maximum Loadability Via Direct Methods , 2013 .