Research and judgment method for potential power efficiency service customers

Abstract

The invention relates to a research and judgment method for potential power efficiency service customers. Factors such as a power factor, a peak section power utilization ratio, a maximum overload rate, an average load capacity ratio and a load maximum unbalance degree are comprehensively considered; an index evaluation system for irrationality of the power consumption behaviors of the special transformer users is constructed, then the irrationality of the power consumption behaviors of the special transformer users is evaluated based on an AHP-TOPSIS algorithm, potential energy efficiency service evaluation values of the special transformer users are obtained according to evaluation results and power consumption, and then potential power efficiency service customers are found out. The method can support power supply enterprises to develop energy efficiency service markets, help special transformer users to reduce power consumption cost, and further promote energy conservation and emission reduction of the whole society.

Description

technical field [0001] The invention belongs to the technical field of electric power big data application, and in particular relates to a method for researching and judging potential electric energy efficiency service customers. Background technique [0002] With the expansion of the comprehensive energy business of power supply enterprises, providing power energy efficiency services (hereinafter referred to as "energy efficiency services") for special transformer users has become one of the key work directions of power supply enterprises. [0003] Due to the lack of effective monitoring methods and professional power management personnel, it is more common for special transformer users to have unreasonable power consumption behaviors, such as low power factor and high unbalanced three-phase loads, etc., which virtually increases their power consumption. Therefore, a large number of dedicated users have the need to regulate electricity consumption behavior and reduce electr...

AI Technical Summary

Problems solved by technology

However, due to the lack of effective means to comprehensively evaluate the unreasonable behavior of special users, it is often difficult for power supply companies to target potential customers for energy efficiency services.

[0004] At present, research related to mining potential customers of energy efficiency services is still relatively rare. Only some literatures have studied the energy efficiency evaluation of industrial users (one of the special users), but they lack a comprehensive analysis of industrial users' electricity consumption behavior. , if the impact of factors such as the proportion of peak electricity consumption and overcapacity electricity consumption on electricity costs are not considered, it cannot provide effective support for the mining of potential customers for energy efficiency services

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