电力系统及其自动化学报2017，Vol.29Issue(10)：85-90,6.DOI:10.3969/j.issn.1003-8930.2017.10.015
考虑风电与负荷时序性的分布式风电源选址定容
Locating and Sizing of Distributed Wind Generation Considering Wind Generation and the Timing Characteristics of Load
初壮 1乔福泉1
作者信息
- 1. 东北电力大学电气工程学院,吉林 132012
- 折叠
摘要
Abstract
In this paper,the timing characteristics of wind turbine output and node loads are considered during the lo?cating and sizing of distributed wind generation(DWG)in distribution network. The hourly wind speeds in one year are sampled using Monte Carlo simulation(MCS),and the corresponding wind turbine output is obtained. Then,hourly sce?narios are constructed considering both the hourly output efficiency of the wind turbine and the corresponding hourly loading rate at nodes,and an improved K-means clustering algorithm is used to perform scenario clustering. According to the clustering results,which include the average of wind turbine output efficiencies,the average of loading rates,as well as the probability of the corresponding scenario,an improved genetic algorithm is employed to locate and size the DWG with the minimum annual cost of a distribution company as an objective function. The simulation results of a 33-node distribution network show that the timing characteristics of wind turbine output and node loads have a significant impact on the locating and sizing of DWG. Meanwhile,the effectiveness of the proposed model and method is verified.关键词
分布式风电源/时序性/场景/改进K-means聚类法Key words
distributed wind generation(DWG)/timing characteristic/scenario/improved K-means clustering algorithm分类
信息技术与安全科学引用本文复制引用
初壮,乔福泉..考虑风电与负荷时序性的分布式风电源选址定容[J].电力系统及其自动化学报,2017,29(10):85-90,6.
