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Multi-Parameter Practical Stability Region Analysis of Wind Power System Based on Limit Cycle Amplitude Tracing

Xiaoyang Ma, Yuheng Wan, Ying Wang, Xinzhou Dong, Shenxing Shi, Jinwen Liang, Zhao Yangjun, Hongwan Mi

2023IEEE Transactions on Energy Conversion40 citationsDOI

Abstract

The existing division of system stability region does not fully consider the influence of nonlinear characteristics of the system. To address the challenge that it is difficult to inscribe the stability region of wind power grid-connected systems accurately and quantitatively, this article proposes a nonlinear system multi-parameter practical stability region analysis method based on limit cycle amplitude tracking. Firstly, the nonlinear dynamic model of multi-machine system with doubly fed induction generator (DFIG) is established, and the bifurcation diagram of the system is obtained by nonlinear analysis of the model. Then, the limit cycle-parameter diagram is obtained by tracking the limit cycle of the Hopf bifurcation point of the system, and the problem of how the system oscillation evolves with the change of operating parameters is analyzed. Afterwards, the single parameter practical stability region of the nonlinear system is obtained by combining the system equilibrium manifold. Finally, the multi-parameter practical stability region of the nonlinear system is obtained by the three-dimensional bifurcation map with the system time delay, DFIG output active power and reactive load as the bifurcation parameters. The division of the stability region has important guiding significance for the parameter adjustment in the actual operation of the system.

Topics & Concepts

Control theory (sociology)Limit cycleBifurcation diagramNonlinear systemElectric power systemHopf bifurcationBifurcationStability (learning theory)Operating pointLimit (mathematics)Oscillation (cell signaling)MathematicsPower (physics)Computer scienceEngineeringPhysicsMathematical analysisElectrical engineeringQuantum mechanicsBiologyMachine learningControl (management)GeneticsArtificial intelligencePower System Optimization and StabilityWind Turbine Control SystemsMicrogrid Control and Optimization
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