Robustness analysis of dynamic equivalent model of DFIG wind farm for stability study

Abstract

With the wind power energy largely interconnected with power grid, it's necessary to develop a robust dynamic equivalent model of the wind farm for the system stability analysis and control. In this paper, a detailed wind farm model with doubly-fed induction generators (DFIGs) is established according to Western Electricity Coordinating Council (WECC) benchmark test system. Then the parameters identification process based on aggregation technique consisting of a hybrid algorithm combined improved-particle swarm optimization (IPSO) with improved-genetic algorithm (I-GA) is proposed for dynamic equivalent model development by using the measurement data from phasor measurement unit (PMU) at the point of interconnection (POI). Additionally, the robustness of the developed equivalent model is analyzed. The simulation results of the benchmark test system and IEEE-9 bus system demonstrate the effectiveness and robustness of the proposed equivalent modeling and identification methodology.