Journal
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Volume 14, Issue 2, Pages 962-973Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2022.3231647
Keywords
Mathematical models; Delay effects; Damping; Power systems; Uncertainty; Load modeling; Power system stability; Wind turbine system; low-frequency oscillation; inter-area oscillation; wide area damping control; interacting multiple model strategy
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A Wide-Area Damping Controller (WADC) is designed to provide adequate damping for Low-Frequency Oscillations (LFOs) caused by intermittent Wind Turbine Systems (WTSs). The WADC uses a modal-based prescribed degree approach to shift the concerned modes. However, the fixed operating point and time delay in feedback signals may lead to robust performance issues. To address this, an Interacting Multiple Model (IMM) infrastructure is employed, assigning weights to probable WADCs based on output error deviation using the Bayesian framework. Simulations show that the proposed IMM-based WADC provides sufficient damping for critical LFO modes under operating point and time delay uncertainties.
The intermittent nature of Wind Turbine Systems (WTSs) can severely affect the Low-Frequency Oscillations (LFOs) in the power system. Hence, a Wide-Area Damping Controller (WADC) is designed in this paper to provide adequate damping to critical LFO modes. This WADC utilizes a modal-based prescribed degree approach, ensuring the specified shift of concerned modes from their existing position. However, the design of WADC at a fixed operating point and time delay in feedback signals does not provide robust performance as these uncertainties may vary for different time intervals. Specifically, time-varying delays should be tackled appropriately, or the system's damping performance will be severely hampered. Keeping this in view, an Interacting Multiple Model (IMM) infrastructure is employed to provide robust damping performance for such uncertainties. The IMM strategy utilizes the deviation of output error between actual and probable plants, through which weights are assigned to corresponding probable WADCs via the Bayesian framework. The simulations are performed on the nonlinear 4-machine, 11-bus system and the complex 16-machine, 68-bus system using MATLAB/Simulink platform. The results demonstrate that the proposed IMM-based WADC furnishes adequate damping to critical LFO modes for operating point and time delay uncertainties.
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