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Retarded Sampled-Data Control Design for Interconnected Power System With DFIG-Based Wind Farm: LMI Approach.

Raghul Venkateswaran, Young Hoon Joo

    IEEE Transactions on Cybernetics
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    This study introduces a robust control method for stabilizing wind farms with doubly fed induction generators (DFIGs) despite disturbances. The advanced sampled-data control strategy effectively mitigates frequency and speed fluctuations in power systems.

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    Area of Science:

    • Electrical Engineering
    • Control Systems Engineering
    • Renewable Energy Systems

    Background:

    • Interconnected power systems with wind farms are susceptible to frequency and speed deviations.
    • Doubly fed induction generators (DFIGs) are common in wind farms but require robust control for stability.
    • Mechanical torque and load variations act as significant disturbances.

    Purpose of the Study:

    • To investigate robust stabilization for DFIG-based wind farms using retarded sampled-data control (RSDC).
    • To mitigate frequency and speed fluctuations in interconnected power systems.
    • To design an H-infinity performance-based RSDC scheme for disturbance attenuation.

    Main Methods:

    • A generalized sampled-data control strategy considering constant time delay and a variable sampling period.
    • Development of an H-infinity performance-based RSDC scheme.
    • Construction of a Lyapunov Krasovskii functional (LKF) to derive delay-dependent stability conditions using linear matrix inequalities (LMIs).

    Main Results:

    • Sufficient conditions for asymptotic stability of the closed-loop system were derived using LMIs.
    • The proposed RSDC scheme effectively attenuates disturbances.
    • Simulation and comparative results validate the controller's effectiveness.

    Conclusions:

    • The designed H-infinity performance-based RSDC scheme ensures robust stabilization for DFIG-based wind farms.
    • The control strategy effectively addresses time delays and variable sampling periods.
    • The findings contribute to enhancing the stability and reliability of renewable energy integration.