摘要
通过定义用电特性指标、划分负荷重要性等级,建立了针对精细化需求响应的新型负荷特性分析指标体系。以某企业用电数据为例,应用主成分分析法分析了用电行为影响因素,利用决策树分类法提取了用电行为影响因素特征量。并结合实际算例,研究了用户典型用能模式的特点及其行为原因,为需求响应策略的制订提供理论支持。
A new index system of load characteristics analysis for refined demand response is established by defining power consumption characteristic index and dividing load importance level. Taking the power consumption data of an enterprise as an example, the influencing factors of power consumption behavior are analyzed by principal component analysis, and the feature quantity of influencing factors of power consumption behavior is extracted by decision tree classification. The characteristics and behavior reasons of typical user energy consumption mode are studied to provide theoretical support for the formulation of demand response strategy according to the practical examples.
作者
孙胜博
张凯
冯剑
白新雷
陈宋宋
朱栋
高赐威
SUN Shengbo;ZHANG Kai;FENG Jian;BAI Xinlei;CHEN Songsong;ZHU Dong;GAO Ciwei(State Grid Hebei Electric Power Co.,Ltd.,Shijiazhuang 050022,China;China Electric Power Research Institute Co.,Ltd.,Beijing 100192,China;Southeast University,Nanjing 210096,China)
出处
《内蒙古电力技术》
2020年第1期40-44,共5页
Inner Mongolia Electric Power
基金
国网河北省电力有限公司2019年科技项目(5442YDXG180012)。
关键词
用电行为
负荷特性
特性指标
主成分分析法
决策树
power consumption behavior
load characteristic
characteristic index
principal component analysis
decision tree classifier
