Review on Synchronous Condenser Modeling Study

Synchronous condenser is an important reactive resource of power system, the operation of which is significant. Its model has always been a major concern to researchers, because accurate and reasonable synchronous condenser parameter is the basis of analysis and calculation of system dynamic behavior. With the increasing of the safety and stability of power grid, it is more imperative to obtain modeling and parameter identification method. In this paper, generator and excitation system model and parameter identification of synchronous condenser are studied and summarized, in order to obtain its equivalent model which can in accord with or be close to practical operation state.

[1]  Wei Jing,et al.  Modeling of salient-pole synchronous motor considering saturation effect , 2010, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).

[2]  Wenxin Liu,et al.  Particle swarm optimization-based parameter identification applied to permanent magnet synchronous motors , 2008, Eng. Appl. Artif. Intell..

[3]  Y. Li,et al.  Parameter Identification of Excitation Systems Based on Hopfield Neural Network , 2006, 2006 International Conference on Power System Technology.

[4]  A.M. El-Serafi,et al.  Measurement of the saturation characteristics in the quadrature axis of synchronous machines , 2006, IEEE Transactions on Energy Conversion.

[5]  N. C. Kar,et al.  Methods for Determining the Q-Axis Saturation Characteristics of Salient-Pole Synchronous Machines from the Measured D-Axis Characteristics , 2002, IEEE Power Engineering Review.

[6]  Chih-Wen Liu,et al.  New methods for computing power system dynamic response for real-time transient stability prediction , 2000 .

[7]  Sun Ha,et al.  Synchronous generator parameters identification based on PMU data , 2014 .

[8]  Wu Xin-zhen.  Identification of synchronous generator parameters after the exciting voltage fluctuates , 2012 .

[9]  Zhang Neng.  Study on the Vector Control System of Salient-pole Synchronous Motor Considering Magnetic Field Saturation Effect , 2011 .

[10]  Zhang Yi,et al.  A Hybrid Dynamic Simulation Validation Strategy by Setting V-θ Buses with PMU Data , 2010 .

[11]  Dou Qian,et al.  Application of PSO for Parameter Identification of Exciting System Based on Measured Data , 2009 .

[12]  Huang Songtao,et al.  Improved strategies of genetic algorithm and their applications in parameter identification of nonlinear generator excitation systems , 2008 .

[13]  Xu Ke,et al.  Application of improved genetic algorithm in parameter identification of generator excitation systems , 2007 .

[14]  Yan Gen-di,et al.  Synchronous Generator Model Study in Transient Stability Digital Simulation , 2005 .

[15]  A.M. El-Serafi,et al.  Methods for determining the intermediate-axis saturation Characteristics of salient-pole synchronous Machines from the measured D-axis Characteristics , 2005, IEEE Transactions on Energy Conversion.

[16]  Yang Shun-chang,et al.  SSO Research Based on a Saturation Model of Synchronous Generators , 2005 .

[17]  Fred Wang,et al.  A nonlinear saturation model for salient-pole synchronous machines in high performance drive applications , 2003, 38th IAS Annual Meeting on Conference Record of the Industry Applications Conference, 2003..

[18]  S. Patterson,et al.  Excitation system testing and model validation , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).