Open AccessAnalyzing problems of distribution transformer service areas based on customer-side data mining
Author(s) -
Xiao ShanShan,
Liancheng Wang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/6/062033
Subject(s) - electricity , distribution transformer , mains electricity , service quality , electric power distribution , transformer , reliability engineering , business , electric power , computer science , service (business) , marketing , power (physics) , engineering , electrical engineering , voltage , physics , quantum mechanics
With the development of economy and the continuous improvement of living standard, the contradiction between the rapid growth of electric load and the untimely renewal of power grid equipment is increasingly prominent. Power supply reliability issues or frequent power outages and customer complaints exist in many areas. Due to the limited human and material resources of power supply companies, the problems existing in the distribution transformer service areas cannot be resolved timely and thoroughly. As the direct service objective of electric power, customer’s experience of using electricity will reflect the power quality of the distribution transformer service areas to a great extent. Therefore, this paper will start with work orders from customer sides, find out the existing problems in distribution transformer service areas based on the data association rules, and help make informed decisions. The proposed method not only reduces the investment of capital and manpower, but also reduces the number of power outages, and improves the customer satisfaction.