Survey on negative line loss rate of transformer region: Rectification measures and challenges

Abstract

The system architecture and method for monitoring and statistical analysis of the line losses of the transformer region are introduced. The statistical method for the current system is adopted to determine the functional relationship between the statistical line loss, statistical line loss rate, and gateway power supply of the transformer region. Moreover, the trend of the parameters in a typical residential area is analyzed. Based on the analysis, the three reasons for the formation of transformer regions with a reasonable rate of line loss and the measures for the unreasonable rates are summarized. It is recommended that the line loss monitoring and analysis system should include the functions of approval, examination, and verification, as well as automatic identification. The transformer region without any abnormality in the line loss should be exempt from the review. For the transformer region with a residential elevator, however, the statistical rules should be modified to calculate the actual line loss rate. Finally, the challenges in the management of the transformer region with a negative line loss rate are presented. It is concluded that the application of transformer–customer relationship automatic identification technology and artificial intelligence abnormality diagnosis can significantly improve the efficiency of line loss management.

Line loss localization diagnosis and management measures of station area combined with data mining

“…Literature [13] reveals the shortcomings of the current line loss management and develops an information collection management system to assist in line loss management with the aim of reducing the power losses due to three-phase dynamically varying currents and meter wiring. Literature [14] describes the methods and performances of estimating and detecting line losses in transformer modules of the current power system and, based on the feedback of practical applications, puts forward some recommendations for transformer line loss management, such as the use of artificial intelligence technology to improve the efficiency of line loss monitoring and estimation. Literature [15] empirically analyzes a standard management method of line loss based on six management indicators.…”