A Clustering Algorithm for Demand and Response Resource Based on Multi-Scenario

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Zhao, Mingyu^1 ; Wang, Yinghui^1 ; Shi, Jinyong^1 ; Wang, Dong^1

Department of Electricity Consumption, Nari Group Corporation, State Grid Electric Power Research Institute, Nanjing

211000, China^1

关键词: Demand response;    Demand response resources;    Load information;    Low-frequency components;    Multi scenarios;    Resource classification;    Resource-based;    Response characteristic;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/3/032107/pdf
DOI  :  10.1088/1757-899X/452/3/032107

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The traditional resource classification method based on information such as industry, commerce and residents cannot fit the target of demand response under different scenarios. This paper proposes a clustering algorithm for demand response resources. This algorithm first uses the Fourier series to select the five - dimensional low - frequency component to compress and extract the load information. Then, the demand response resources are expressed in vector form by combining the output and response characteristics of resources. Finally, the resource clustering algorithm based on fuzzy c-means is used to cluster resources.