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

Frontiers in Energy Research

Tingyi He¹  Peng He¹  Xian Meng¹  Xin He¹  Bo Yang²  Yiming Han²  Yijun Chen² 

[1] Electric Power Research Institute of Yunnan Power Grid Co., Ltd., Kunming, China;Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, China;

关键词: wind farms;    frequency regulation;    droop control;    virtual inertial control;    chaos game optimization;   

DOI  :  10.3389/fenrg.2021.819398

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown