A novel PSS-online re-tuning method

Abstract The performance of Power System Stabilizer (PSS) strongly depends on its parameters. For fast-changing power systems, some well-tuned PSSs might not provide the expected damping performance after great changes in system structure and operating mode. Therefore, these PSSs need to be tuned again. However, considering the system stability issue, a PSS should not be taken offline once it has been put into service in actual power systems. Under that situation, if a PSS needs to be re-tuned, existing tuning methods cannot be applied since the phase compensation cannot be measured conveniently or even calculated with the PSS in service. This paper proposes a novel PSS-online re-tuning method in order to solve this problem, using local local phasor measurement unit (PMU) measurements. The system closed-loop transfer function (CTF) taking PSS as feedback compensation is identified using the standard Prony analysis. Then, the open-loop transfer function (OTF), which is essentially required for determining PSS parameters, is calculated based on the CTF identification result. The performance of this online re-tuning method is verified by a simulation study of a typical 2-area system. The priority research is also addressed in the same simulation study. Finally, this online-method has been applied to GuiZhou Power Grid (GZPG), which is a provincial grid located in Southwest China. The results from both simulations and field tests in GZPG demonstrate that this online re-tuning method is effective and can be applied to interconnected grids.

[1]  Y.-N. Yu,et al.  Pole-placement power system stabilizers design of an unstable nine-machine system , 1990 .

[2]  Gang Chen,et al.  Implementation of Guizhou Power Grid wide-area security defense system platform , 2010, 2010 International Conference on Power System Technology.

[3]  James D. McCalley,et al.  Damping controller design for power system oscillations using global signals , 1996 .

[4]  Donald A. Pierre,et al.  An application of Prony methods in PSS design for multimachine systems , 1991 .

[5]  Jong-Keun Park,et al.  A time-domain approach to transmission network equivalents via Prony analysis for electromagnetic transients analysis , 1995 .

[6]  D. R. Ostojic,et al.  Stabilization of multimodal electromechanical oscillations by coordinated application of power system stabilizers , 1991 .

[7]  J. F. Hauer,et al.  Making Prony analysis more accurate using multiple signals , 1999 .

[8]  D.Z. Fang,et al.  Robust PSS Parameters Design Using a Trajectory Sensitivity Approach , 2009, IEEE Transactions on Power Systems.

[9]  Ning Zhou,et al.  Probing signal design for power system identification , 2010, IEEE PES General Meeting.

[10]  Edward J. Davison,et al.  Sequential stability and optimization of large scale decentralized systems, , 1979, Autom..

[11]  Charles Concordia,et al.  Concepts of Synchronous Machine Stability as Affected by Excitation Control , 1969 .

[12]  P. Kundur,et al.  Power system stability and control , 1994 .

[13]  M. H. Nehrir,et al.  A fuzzy logic-based self tuning power system stabilizer optimized with a genetic algorithm , 2001 .

[14]  Gurunath Gurrala,et al.  Power System Stabilizers Design for Interconnected Power Systems , 2010, IEEE Transactions on Power Systems.

[15]  Peng Wang,et al.  Power system low frequency oscillation monitoring and analysis based on multi-signal online identification , 2010 .

[16]  A. H. Coonick,et al.  Coordinated synthesis of PSS parameters in multi-machine power systems using the method of inequalities applied to genetic algorithms , 2000 .

[17]  P.J. Nolan,et al.  Coordinated Application of Stabilizers in Multimachine Power Systems , 1980, IEEE Transactions on Power Apparatus and Systems.

[18]  A. Feliachi,et al.  Practical robust PSS design through identification of low-order transfer functions , 2004, IEEE Transactions on Power Systems.