Industrial User Power Factor Governance Decision Model Based on Multi-source Data
This article first innovatively proposes a user label model for reactive power governance and loss reduc-tion potential based on the assessment cost of power rate and actual power rate,and labels six categories of users at different levels;Next,based on parameters such as distribution network transformers and lines,an innovative analysis model for reactive power management benefits is proposed to explore the user losses and grid side power supply en-ergy losses caused by substandard power rates;Thirdly,based on support vector machine and active learning,an in-novative correlation model of user reactive power governance status and demand tracking is proposed to identify user reactive power governance status,so as to further develop service strategies.Finally,the economic loss reduction effect of the model was verified by users in the area under the jurisdiction of a certain power supply company.
fusion datareactive portraitsupport vector machineactive learning methodtechnical loss reduction
万方数据
维普
