含风电场的互联发电系统可靠性评估

为得到更准确的风速序列,建立了小时级的时序风速概率分布模型,并根据该模型进行抽样获得时序风速序列。考虑风电机组的功率输出特性、尾流效应等因素,建立了风电场可靠性模型。采用分区的方法,结合增加了由25台风电机组组成的风电场的IEEE-RTS 24节点算例,利用时序蒙特卡洛模拟法对含风电场的互联发电系统进行可靠性评估。所提模型考虑了风速和负荷的时序相关性以及风电机组的功率输出特性、尾流效应等影响风电场出力的因素,使风电场接入系统后的可靠性评估更为客观、准确。

Reliability Assessment of Interconnected Generation Systems With Grid-Connected Wind Farms

To obtain more accurate wind speed sequence,accurate hourly wind speed probability distribution models are built and according to the smpling by the built models based on these models a sequential wind speed sequence is established.Considering such factors as output characteristics of various types of wind wind turbines and wake effects among wind turbines,a reliability model of wind farm is established.By use of the partitionning method and utilizing IEEE 24-bus Reliability Test System to which a wind farm composed of 25 wind turbines is connected,the reliability assessment of an interconnected generation system with grid-connected wind farm is performed by sequenctial Monte Carlo simulation.In the established model the sequential correlativity between wind speed and load and such factors as output characteristics of wind turbines and wake effects among wind turbines which impact on output of wind farm are taken into account,thus the reliability assessment of the interconnected generation system with grid-connected wind farm will be more objective and accurate.