首先介绍双馈风力机的简化短路计算模型、风速分布模型以及母线/线路短路故障模型;其次针对风电场电压跌落问题,提出年电压跌落频次、电压跌落风险、与低电压穿越期望3个表征电压跌落的风险指标;接着基于Digsilent的DPL语言编写风电场电压跌落评估程序;最后对算例风电场进行仿真验证,针对风电场内外发生的不同类型短路故障发生后,造成的电压跌落风险进行分析,仿真结果可验证所提评估方法的有效性。
This paper is emphasizing on wind farm voltage dip assessment using probabilistic methodology for which, first we simplified equivalent circuit of DFIG for short circuit calculation, performed stochastic modeling of wind speed, and fault modeling of buses/lines. Later we proposed voltage dip risk indices for wind farm voltage dip evaluation. Thirdly we proposed an assessment method to analyze the severity and probability of voltage dip in wind farm by using Digsilent, and finally we performed detailed analysis of wind farm study case, which is connected to Demo wind farm system and validated the proposed approach. The obtained the results provided that useful information on wind farm security indices may be used for online security for large cluster of wind turbines.