电网技术2017，Vol.41Issue(11)：3514-3522,9.DOI:10.13335/j.1000-3673.pst.2016.3276
风电外送断面极限输电能力的非参数回归估计
Nonparametric Regression Estimation for Total Transfer Capability of Transmission Interface Considering Centralized Wind Power Integration
刘挺坚 1刘友波 1刘若凡 2刘俊勇 1林华珍 3葛从3
作者信息
- 1. 四川大学电气信息学院,四川省成都市 610065
- 2. 国网四川省电力公司成都供电公司,四川省成都市 610065
- 3. 西南财经大学统计学院统计研究中心,四川省成都市 611130
- 折叠
摘要
Abstract
Total transfer capability (TTC) of power interface changes as operation state varies, and is difficult to obtain based on conventional worst scenario-based method because of stochastic wind power generation. To enable online TTC estimation for wind power-related corridors, a novel nonparametric regression technique is presented. Time-series powers of wind farm and load are clustered to determine representative scenario points in order to generate data samples including TTC and relevant attributes with stability-constrained repeated bisection power flow. Correlation verification and nonparametric independence screening are then executed to determine the most effective attributes. Group Lasso algorithm based on cubic B-spline is applied thereafter to establish regressed fitting function for TTC. According to case study, the presented technique, enabling fast online TTC estimation of wind-power exporting power systems, can provide explicit solution for TTC operation numerical rules whilst maintain high accuracy with more useful information output.关键词
风电/极限输电能力/运行规则/非参独立筛选/GroupLasso算法Key words
wind power/total transfer capability (TTC)/operation rules/nonparametric independence screening/Group Lasso algorithm分类
信息技术与安全科学引用本文复制引用
刘挺坚,刘友波,刘若凡,刘俊勇,林华珍,葛从..风电外送断面极限输电能力的非参数回归估计[J].电网技术,2017,41(11):3514-3522,9.
