为了加快大型风电场的仿真速率,提出了一种基于等效短线路解耦的模型分割方案。首先对于机组类型单一的大型风电场,采用输出倍乘与集电线路等值的方法进行简化建模。在此基础上,针对风电场内线路较短,难以采用长输电线路自然解耦来并行...为了加快大型风电场的仿真速率,提出了一种基于等效短线路解耦的模型分割方案。首先对于机组类型单一的大型风电场,采用输出倍乘与集电线路等值的方法进行简化建模。在此基础上,针对风电场内线路较短,难以采用长输电线路自然解耦来并行运算的缺点,提出对等值后的机组连接线与连接升压站的长汇集线之间进行参数补偿,从而满足输电线路在一个步长上的解耦判据。在Matlab/Simulink搭建仿真模型,对模型分割前后进行了对比。仿真结果验证了所提方案的可行性。在此基础上采用状态空间节点(state space node,SSN)法对风电机组内部划分群组,最终在RT-LAB平台上实现了大型海上风电场的实时化仿真。展开更多
Phylogenetic trees based on genome-wide single nucleotide polymorphisms （SNPs） among diverse inbreds could provide valuable and intuitive information for breeding and germplasm management in crops. As a result of se...Phylogenetic trees based on genome-wide single nucleotide polymorphisms （SNPs） among diverse inbreds could provide valuable and intuitive information for breeding and germplasm management in crops. As a result of sequencing technology developments, a huge amount of whole genome SNP data have become available and affordable for breeders. However, it is a challenge to perform quick and reliable plotting based on the huge amount of SNP data. To meet this goal, a visualization pipeline was developed and demonstrated based on publicly available SNP data from the current important maize inbred lines, including temperate, tropical, sweetcorn, and popcorn. The detailed phylogenetic tree plotted by our pipeline revealed the authentic genetic diversity of these inbreds, which was consistent with several previous reports and indicated that this straightforward pipeline is reliable and could potentially speed up advances in crop breeding.展开更多
文摘为了加快大型风电场的仿真速率,提出了一种基于等效短线路解耦的模型分割方案。首先对于机组类型单一的大型风电场,采用输出倍乘与集电线路等值的方法进行简化建模。在此基础上,针对风电场内线路较短,难以采用长输电线路自然解耦来并行运算的缺点,提出对等值后的机组连接线与连接升压站的长汇集线之间进行参数补偿,从而满足输电线路在一个步长上的解耦判据。在Matlab/Simulink搭建仿真模型,对模型分割前后进行了对比。仿真结果验证了所提方案的可行性。在此基础上采用状态空间节点(state space node,SSN)法对风电机组内部划分群组,最终在RT-LAB平台上实现了大型海上风电场的实时化仿真。
基金financially supported by the National Natural Science Foundation of China (31361140364)the National Major Project for Developing New GM Crops,Ministry of Agriculture,China (2016ZX080009-001)the Agricultural Science and Technology Innovation Program (ASTIP) of Chinese Academy of Agricultural Sciences to Xie Chuanxiao
文摘Phylogenetic trees based on genome-wide single nucleotide polymorphisms （SNPs） among diverse inbreds could provide valuable and intuitive information for breeding and germplasm management in crops. As a result of sequencing technology developments, a huge amount of whole genome SNP data have become available and affordable for breeders. However, it is a challenge to perform quick and reliable plotting based on the huge amount of SNP data. To meet this goal, a visualization pipeline was developed and demonstrated based on publicly available SNP data from the current important maize inbred lines, including temperate, tropical, sweetcorn, and popcorn. The detailed phylogenetic tree plotted by our pipeline revealed the authentic genetic diversity of these inbreds, which was consistent with several previous reports and indicated that this straightforward pipeline is reliable and could potentially speed up advances in crop breeding.
