Optimal Adaptive Inertial Droop Control–Based Power System Frequency Regulation via Wind Farms

Abstract

Wind farm–based frequency regulation of the power system has progressively attracted more attention owing to its higher power generation capacity. Among which the step start-up and adaptive inertial droop control of wind turbines with a maximum power point efficiently regulate the system frequency via fully utilizing the rotational kinetic energy. Besides, the coefficients of adaptive droop control and virtual inertial control will facilitate a significant influence on the frequency support performance and operation status of wind turbines for the power grid. To obtain optimal control parameters, a parameter optimization framework of a step start-up adaptive inertial and droop controller combined with the CGO algorithm is proposed, whose effectiveness is verified by a three-area four-terminal VSC-MT-HVDC–based WFs and AC system in MATLAB/Simulink. As a result, a set of parameters with a satisfactory and comprehensive dynamic control performance can be acquired by the proposed method under both 200 MW and 300 WM load increases compared with the trial-and-error approach.

Research on simplified modeling of large-scale wind farms based on equivalent transfer function and aggregate equivalent

“…At present, the commonly used aerodynamic model mainly adopts the wind energy utilization coefficient model. The mechanical power obtained by the wind turbine capturing wind energy is as follows (Chen et al, 2022):…”