A Dual-Machine Aggregation Model of Wind Farm Considering LVRT

doi:10.3969/j.issn.1000-7229.2016.06.013

Abstract

Abstract:

Due to differences of the relay protection status and external characteristics among generators derived from distribution of the wind speed and collection network， the conventional single-machine aggregation model cannot offer high accuracy of fault ride-through behaviors of real wind farms in all scenarios. This paper proposes a dual-machine model that is more applicable for doubly-fed induction generator （DFIG） wind farms， based on a reverse modeling method and the delicately-designed macroscopic parameters. First， we analyze the effect of over-current protection on controllability of the wind farm. Considering the power-source nature of DFIGs， the Crowbar dynamic during a large disturbance has a great impact on accuracy of the simulated power response， whereas the peak current level decides whether Crowbar is activated. Thus the current level proves to be the critical factor that generates incoherency among DFIGs， based on which the generators can be grouped. Naturally， description of the incoherency can be implemented by a dual-machine model， and its macroscopic parameters can be adjusted according to control parameters and the wind resources， so as to smoothly set the level of distribution factors that produce incoherency. In order to improve practicability of the proposed model， a reliable parameter-identification procedure is presented， which extracts macroscopic parameters reflecting power responses with the maximum probability. Simulation verifies drawbacks of the single-machine aggregation model and performances of the novel model. With the ability to consider features of wind resources， the proposed model remarkably improves accuracy of wind farms' power modulation behaviors， adjacent synchronous generators' power-angle dynamics， and the motor-type loads' voltage dynamics.

Key words: dual-machine aggregation model, transient stability, Crowbar effects, low voltage ride through, wind-speed distribution

CLC Number:

TM 71

GAO Feng,HUANG Mingyu,QIAO Ying， RUAN Jiayang . A Dual-Machine Aggregation Model of Wind Farm Considering LVRT[J]. Electric Power Construction, 2016, 37(6): 86-95.

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