Abstract: :To solve the problem of inaccurate calculation of available capacity in the expansion and installation business of the power marketing industry, resulting in insufficient utilization of equipment resources and low operational efficiency in distribution station area, a method based on load feature clustering for calculating available capacity in distribution station area and decision-making for expansion and installation is proposed. Based on the gateway data of the power system distribution station area and the load data of electricity customers, the paper analyzes the electrical timing and construct a typical industry feature library, accurately calculates the available capacity of the distribution station area, provides the optimal access decision for new users in the distribution station area, and provides guidance for the business expansion work of power companies. Case study results show that this method can be used to make the optimal access load decision in the industry expansion application, and the access load can be operated stably without immediate modification, which can effectively prolong the service life of distribution transformers and improve economic benefits.

Key words: distribution station area, available capacity, business expansion, load characteristic, load forecasting