With the increasing penetration of renewable energy, its impact on power systems has grown significantly. In particular, modern wind farms
predominantly employ inverter-based wind turbines, which exhibit low inertia and limited capability to respond q...
With the increasing penetration of renewable energy, its impact on power systems has grown significantly. In particular, modern wind farms
predominantly employ inverter-based wind turbines, which exhibit low inertia and limited capability to respond quickly to the surge in reactive
power demand during faults, often resulting in voltage quality issues such as voltage sag. To mitigate these challenges, the application of reactive
power compensation devices has been expanded, and various grid code,including Low Voltage Ride Through (LVRT) requirements, have been
introduced and revised. Furthermore, during the design and permitting stages of wind farms, procedures for pre-verifying the configuration and
capacity of compensation equipment such as STATCOMs, in accordance with interconnection requirements, have been updated.
However, conventional simulation and modeling approaches often fail to adequately reflect actual load characteristics, such as Fault-Induced Delayed Voltage
Recovery (FIDVR) caused by single-phase induction motor loads, which may lead to unexpected problems during interconnection. In addition,
capacity determination for such devices is often based on conservative margins, potentially resulting in overdesign and economic inefficiency.
This study incorporates realistic load characteristics into the performance evaluation model of wind farms prior to grid connection and proposes
quantitative indices for STATCOM capacity selection. The proposed indices and model were validated through PSS®E dynamic simulations,
demonstrating their usefulness for assessing compliance with grid code requirements and for reducing excessive capacity margins