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Sun, T., Chen, Z. and Blaabjerg, F. (2005) Transient Stability of DFIG Wind Turbines at an External Short Circuit Fault. Wind Energy, 8, 345-360.
http://dx.doi.org/10.1002/we.164

has been cited by the following article:

  • TITLE: Multi-Machine Power Stabilization Controller (MMPSC) for Power Quality Applications

    AUTHORS: D. Sabapathi, R. Anita

    KEYWORDS: POD, PSS, CPSS, MMPSC, DFIG and MATLAB

    JOURNAL NAME: Circuits and Systems, Vol.7 No.10, August 12, 2016

    ABSTRACT: Power system stability control is a challenging task in power generation, transmission and distributions based applications and in many fields. Multi-machine power compensation control can achieve system stabilization within a prescribed time in conventional controller. However, limited time control cannot guarantee the system convergence within particular time independent on the initial condition, which makes illegal application into the practical system if the initial condition is unknown in advance. The proposed Multi-Machine Power System Compensation (MMPSC) control overcomes the issues in existing systems and limited time stability controller. Due to this attractive solution, multi-machine power compensation control stability has found applications in uniform exact differentiator design for the multi-agent system. The proposed multi-machine power compensation control reduces damping oscillation and improves the power system stability control. The main objective of proposed controller is to improve the stability of MMPSC limited time system stabilization independent of the initial state and ensure fast convergence both far away from and at a close range of the power monitoring system. This feature can reduce the loss caused by unwanted oscillation and avoid voltage collapse. To overcome the linearity problem of terminal mode control, saturation function is introduced to limit the amplitude of power input. In comparison with the existing results on stability control, the proposed MMPSC applies a simpler method to overcome stability problem and achieves higher efficiency.