An analytics of electricity consumption characteristics based on principal component analysis

International Conference on Energy Engineering and Environmental Protection 2017

能源学;生态环境科学

Feng, Junshu^1

State Grid Energy Research Institute, Future Science and Technology Park, Beijing

102209, China^1

关键词: Decision supports;    Demand Side Management (DSM);    Electricity consumers;    Electricity-consumption;    Industrial consumers;    Power providers;    Residential consumers;    Time consumption;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/121/5/052095/pdf
DOI  :  10.1088/1755-1315/121/5/052095

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

More detailed analysis of the electricity consumption characteristics can make demand side management (DSM) much more targeted. In this paper, an analytics of electricity consumption characteristics based on principal component analysis (PCA) is given, which the PCA method can be used in to extract the main typical characteristics of electricity consumers. Then, electricity consumption characteristics matrix is designed, which can make a comparison of different typical electricity consumption characteristics between different types of consumers, such as industrial consumers, commercial consumers and residents. In our case study, the electricity consumption has been mainly divided into four characteristics: extreme peak using, peak using, peak-shifting using and others. Moreover, it has been found that industrial consumers shift their peak load often, meanwhile commercial and residential consumers have more peak-time consumption. The conclusions can provide decision support of DSM for the government and power providers.