Small-signal stability analysis and particle swarm optimisation self-tuning frequency control for an islanding system with DFIG wind farm
Journal
IET Generation, Transmission and Distribution
Journal Volume
13
Journal Issue
4
Pages
563-574
Date Issued
2019
Author(s)
Abstract
Linearised model for frequency control of an islanding system comprising an equivalent synchronous generator and an equivalent doubly fed induction generator (DFIG) is derived. Small signal stability analysis is performed to determine the stable regions for DFIG supplementary droop controller under various wind velocities. In order to achieve better dynamic frequency response under different system parameters, the DFIG droop gain is adapted in real?time using a self?tuning controller designed based on particle swarm optimisation technique. In order to validate the results from small signal analysis and to demonstrate the effectiveness of the proposed self?tuning frequency controller, digital simulations using MATLAB/SIMULINK are performed on a local power system in central Taiwan. It is concluded from the simulation results that the proposed self?tuning frequency controller offer better dynamic frequency response than the fixed?gain droop controller.
SDGs
Type
journal article