TY - EJOU
AU - Sun, Li
AU - Zeng, Fanjun
AU - Liu, Hongbo
AU - Ma, Chenglian
AU - Zhang, Qiting
AU - Zhu, Jingzhou
TI - Parameter Adaptive SVIC FR Strategy for Doubly-Fed Induction Generators Considering Wind Condition Zoning
T2 - Energy Engineering
PY -
VL -
IS -
SN - 1546-0118
AB - The widespread integration of large-scale wind power has resulted in decreased equivalent inertia in power systems, thereby compromising their frequency regulation (FR) capabilities. Conventional synthetic inertia control faces challenges under stochastic wind conditions, including inadequate utilization of rotor kinetic energy in high wind condition regions and the risk of triggering rotor speed stability limits in low wind condition regions. To overcome these limitations, in this paper, a parameter adaptive synthetic virtual inertial control (SVIC) framework based on wind speed partition is proposed. The control mechanisms are designed differently across partitioned wind condition intervals: in high-wind-speed zones, a simplified fuzzy rule set dynamically optimizes the virtual inertia and droop coefficients (Kd and Kp), enhancing performance by aggressively yet safely utilizing the rotor’s stored energy within a predefined secure speed range. Conversely, under low-wind conditions, an adaptive attenuation mechanism safeguards rotor speed by scaling down these coefficients. Simulation results demonstrate that the proposed strategy effectively balances FR efficacy and operational security under stochastic wind conditions. It achieves improvement in the frequency nadir while constraining rotor speed fluctuations within safe limits, thereby providing substantial support for enhancing system frequency stability.
KW - Synthetic virtual inertia control; doubly-fed induction generator; fuzzy logic control; wind condition zoning; over-speed de-loading
DO - 10.32604/ee.2025.073405