Resident customer clustering method and device based on demand response data

Abstract

The invention discloses a resident customer clustering method and device based on demand response data, and the method comprises the steps: carrying out the power utilization census of resident users in a transformer area, and constructing a data matrix; according to the electricity utilization characteristics of the residential users, carrying out the dimension reduction processing on the electric quantity data of the users by using the related characteristic indexes; based on alpha-proximity and data encasement theories, providing a novel partitioning and layering clustering algorithm; analyzing the power consumption behaviors of the resident users before and after implementation based on a demand response incentive mechanism, and performing clustering analysis on the power consumption behaviors of the users. According to the device, nonvolatile software programs, instructions and modules in the memory are operated through the processor, so that various function applications and data processing of the server are executed, and clustering of resident customers is realized. According to the method, an aggregation theory method is applied to classification of resident users participating in demand response, and a scientific basis is provided for the process of customizing heterogeneous power plans for different users on a power grid side.

Description

technical field [0001] The invention relates to the field of electricity loads in electric power systems, in particular to a method and device for clustering residential customers based on demand response data. Background technique [0002] As my country's economy and society transition from high-speed growth to high-quality growth, the structure of electricity consumption continues to be optimized and adjusted, the proportion of electricity consumption by the tertiary industry and residents' daily life continues to rise, and the characteristics of load peaking become more and more obvious. Traditional power planning determines the scale of power grid construction based on the maximum load. There are problems such as low utilization of power generation and power transmission and transformation equipment, low investment efficiency, waste of production capacity, and driving up the cost of electricity for the whole society. It can no longer fully adapt to the high quality of pow...

AI Technical Summary

Problems solved by technology

Traditional power planning determines the scale of power grid construction based on the maximum load. There are problems such as low utilization rate of power generation and power transmission and transformation equipment, low investment efficiency, waste of production capacity, and driving up the cost of electricity for the whole society. It can no longer fully adapt to the high quality of power in the new era. development requirements

Images