电力系统自动化2016,Vol.40Issue(2):36-42,7.DOI:10.7500/AEPS20150415012
考虑相关性的广义负荷联合概率建模及应用
Generalized Probability Load Modeling and Application Considering Spatial Correlation of Power System Nodes
摘要
关键词
风力发电/空间相关性/广义负荷建模/径向基函数神经网络/概率风险分析Key words
wind power generation/spatial correlation/generalized load modeling/radial basis function (RBF) neural network/probability risk analysis引用本文复制引用
褚壮壮,梁军,贠志皓,张旭,徐兵,刘文学..考虑相关性的广义负荷联合概率建模及应用[J].电力系统自动化,2016,40(2):36-42,7.基金项目
This work is supported by National Natural Science Foundation of China (No.51177091) (No.51177091)
国家自然科学基金资助项目(51177091). (51177091)