Parameter Tuning and Simulation Analysis of PSS Function in Excitation System with Suppression of Low Frequency Oscillation

With the rapid development of smart grid and regional interconnection grid, the research on the stability of modern power system is becoming more and more important. When the power system is disturbed, there will be low frequency oscillations in the system, if not suppressed; it may lead to the loss of stability of the system. Therefore, the excitation system of generator should be put into power system stabilizer (PSS).This article proposes an optimization scheme of power system stabilizer (PSS) of excitation system based on-line frequency response characteristic analysis. The mathematical model of excitation system of generator is established by using power system analysis comprehensive program (PSASP7), and the parameters of PSS model are optimized. Through simulation and performance measurement, it is verified that PSS has a good suppression effect on the low frequency oscillation of power grid frequency between 0.1Hz and 2.0Hz.

[1]  Claudio A. Canizares,et al.  A study of TCSC controller design for power system stability improvement , 2003 .

[2]  G. Trudel,et al.  Modeling and closed-loop validation of a new PSS concept, the multi-band PSS , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[3]  Jeong-Hae Lee,et al.  Mode Reconfigurable Resonators Insensitive to Alignment for Magnetic Resonance Wireless Power Transmission , 2014, IEEE Microwave and Wireless Components Letters.

[4]  Godpromesse Kenné,et al.  An improved direct feedback linearization technique for transient stability enhancement and voltage regulation of power generators , 2010 .

[5]  Christian Rehtanz,et al.  Design Aspects for Wide-Area Monitoring and Control Systems , 2005, Proceedings of the IEEE.

[6]  A. Mayouf,et al.  Study of Excitation and Governor power system stabilizers effect on the stability enhancement of a single machine infinte-bus power system , 2013, 2013 12th International Conference on Environment and Electrical Engineering.

[7]  Zhi AN,et al.  Measurement-based solution for low frequency oscillation analysis , 2016 .

[8]  Hasan Alkhatib,et al.  Dynamic genetic algorithms for robust design of multimachine power system stabilizers , 2013 .

[9]  Sheng-Kuan Wang,et al.  A Novel Objective Function and Algorithm for Optimal PSS Parameter Design in a Multi-Machine Power System , 2013, IEEE Transactions on Power Systems.

[10]  Djamel Boukhetala,et al.  A decoupled neuro-sliding mode controller with its application to multimachine power systems , 2013, 2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC).

[11]  Youyi Wang,et al.  Global Transient Stability and Voltage Regulation for Power Systems , 2001 .

[12]  R. Grondin,et al.  IEEE PSS2B versus PSS4B: the limits of performance of modern power system stabilizers , 2005, IEEE Transactions on Power Systems.