电力需求侧管理2015，Vol.17Issue(3)：5-10,6.
基于频谱分析的负荷形态分类研究
The study of load morphological classification based on the spectrum analysis
杨震男 1袁飞 1杨凯 1卢毅1
作者信息
- 1. 东南大学 电气工程学院,南京 210096
- 折叠
摘要
Abstract
In order to do better with the economic analysis, operation and planning of the power system, we need to seek for an efficient and reliable method of load morphological classification. We took spectrum analysis on daily average load data of power us-ers, and classified all users into several categories through dynam-ic clustering method. The result of example showed that the inte-grated cluster validity of frequency-domain method was higher than that of time-domain method. The frequency-domain method improves traditional time-domain method and lays a solid founda-tion for utilities to carry on accurate price setting, load forecasting and orderly power utilization.关键词
频谱分析/动态聚类/负荷形态分类Key words
spectrum analysis/dynamic clustering/load morphological classification分类
信息技术与安全科学引用本文复制引用
杨震男,袁飞,杨凯,卢毅..基于频谱分析的负荷形态分类研究[J].电力需求侧管理,2015,17(3):5-10,6.
