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A Low-Frequency Oscillation Suppression Method for Regional Interconnected Power Systems with High-Permeability Wind

Yi Hu1, Jinglin Luo1, Kailin Yan1

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Summary
This summary is machine-generated.

Large-scale wind power integration can cause low-frequency oscillations in power grids. This study proposes a method using optimized wind turbine controls to suppress these oscillations in interconnected systems.

Keywords:
damping characteristicsinterconnected power gridlow-frequency oscillation suppressionparameter optimizationwind power permeability

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Area of Science:

  • Electrical Engineering
  • Power Systems Analysis
  • Renewable Energy Integration

Background:

  • Large-scale wind power integration poses challenges to power grid stability.
  • Low-frequency oscillations (LFOs) are a significant concern arising from small disturbances in interconnected systems with high wind penetration.

Purpose of the Study:

  • To propose a damping quantitative analysis method for regional interconnected power systems with large-scale wind power integration.
  • To optimize wind turbine control parameters for suppressing LFOs.

Main Methods:

  • Developed a state-space model for a two-region interconnected power system including wind farms.
  • Deduced the characteristic polynomial considering wind power's impact on electrical connectivity.
  • Quantified the influence of wind turbine control parameters on system damping characteristics.
  • Utilized the cross-entropy particle swarm optimization (CE-PSO) algorithm to optimize control parameters.

Main Results:

  • Constructed a quantitative analysis model for wind power's impact on system damping.
  • Established an optimization model for wind turbine control parameters.
  • Demonstrated the effectiveness of the CE-PSO algorithm in suppressing LFOs in interconnected grids.

Conclusions:

  • The proposed damping quantitative analysis method effectively addresses LFOs caused by wind power integration.
  • Optimizing wind turbine control parameters via CE-PSO is a viable strategy for enhancing power system stability.
  • Simulation results validate the proposed method's accuracy and effectiveness in a two-region interconnected system.