scholarly journals Research and Application of Transformer-User Identification Technology Based On Fault Diagnosis of Electrical Information Acquisition Equipment

2019 ◽  
Vol 136 ◽  
pp. 04054
Author(s):  
Muxin Zhang ◽  
Liyan Kang ◽  
Bing Cao ◽  
Ying Shang ◽  
Qiutong Wu ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Power Supply ◽  
Information Acquisition ◽  
Loss Rate ◽  
Low Voltage ◽  
Factors Affecting ◽  
Professional Management ◽  
Marketing Professional ◽  
Power Line Carrier ◽  
Line Loss

The line loss rate of power supply enterprises is an important economic and technical index, which directly reflects the lean level of marketing professional management of power supply enterprises. At present, the confusion of transformer-user archives in transformer area is still widespread, which is a key issue in line loss management in power supply enterprises. As the downlink communication channel, low-voltage power line carrier can realize cross-station reading, which brings great difficulties to the identification of transformer-user relation. Because the data of calculating the line loss rate of the transformer area depends on the electrical information acquisition system, the running state of the electrical information acquisition equipment is also one of the important factors affecting the line loss rate of the transformer area. This paper will focus on the fault diagnosis technology of electrical information acquisition equipment, and use it to carry out the identification of transformer-user transformers.

scholarly journals Analysis of the Degradation of MOSFETs in Switching Mode Power Supply by Characterizing Source Oscillator Signals

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Xueyan Zheng ◽  
Lifeng Wu ◽  
Yong Guan ◽  
Xiaojuan Li
Keyword(s):  
Power Supply ◽  
High Speed ◽  
Nuclear Power ◽  
Low Voltage ◽  
Junction Temperature ◽  
Factors Affecting ◽  
Die Attach ◽  
Switching Mode Power Supply ◽  
Switching Mode ◽  
State Resistance

Switching Mode Power Supply (SMPS) has been widely applied in aeronautics, nuclear power, high-speed railways, and other areas related to national strategy and security. The degradation of MOSFET occupies a dominant position in the key factors affecting the reliability of SMPS. MOSFETs are used as low-voltage switches to regulate the DC voltage in SMPS. The studies have shown that die-attach degradation leads to an increase in on-state resistance due to its dependence on junction temperature. On-state resistance is the key indicator of the health of MOSFETs. In this paper, an online real-time method is presented for predicting the degradation of MOSFETs. First, the relationship between an oscillator signal of source and on-state resistance is introduced. Because oscillator signals change when they age, a feature is proposed to capture these changes and use them as indicators of the state of health of MOSFETs. A platform for testing characterizations is then established to monitor oscillator signals of source. Changes in oscillator signal measurement were observed with aged on-state resistance as a result of die-attach degradation. The experimental results demonstrate that the method is efficient. This study will enable a method to predict the failure of MOSFETs to be developed.

scholarly journals Research on Predicting Line Loss Rate in Low Voltage Distribution Network Based on Gradient Boosting Decision Tree

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2522 ◽  
Author(s):  
Mengting Yao ◽  
Yun Zhu ◽  
Junjie Li ◽  
Hua Wei ◽  
Penghui He
Keyword(s):  
Decision Tree ◽  
Power Systems ◽  
Loss Rate ◽  
Low Voltage ◽  
Distribution Network ◽  
Gradient Boosting ◽  
Data Set ◽  
Economic Operation ◽  
Line Loss ◽  
Excessive Number

Line loss rate plays an essential role in evaluating the economic operation of power systems. However, in a low voltage (LV) distribution network, calculating line loss rate has become more cumbersome due to poor configuration of the measuring and detecting device, the difficulty in collecting operational data, and the excessive number of components and nodes. Most previous studies mainly focused on the approaches to calculate or predict line loss rate, but rarely involve the evaluation of the prediction results. In this paper, we propose an approach based on a gradient boosting decision tree (GBDT), to predict line loss rate. GBDT inherits the advantages of both statistical models and AI approaches, and can identify the complex and nonlinear relationship while computing the relative importance among variables. An empirical study on a data set in a city demonstrates that our proposed approach performs well in predicting line loss rate, given a large number of unlabeled examples. Experiments and analysis also confirmed the effectiveness of our proposed approach in anomaly detection and practical project management.

scholarly journals Influence of low-voltage electrical switching and protecting devices and parameters of electrical equipment on electricity losses in workshop power supply networks

2021 ◽  
Vol 23 (3) ◽  
pp. 3-13
Author(s):  
E. Yu. Abdullazyanov ◽  
E. I. Gracheva ◽  
A. N. Gorlov ◽  
Z. M. Shakurova ◽  
A. G. Logacheva
Keyword(s):  
Power Supply ◽  
Low Voltage ◽  
Electrical Equipment ◽  
Load Factor ◽  
Equivalent Resistance ◽  
Circuit Breakers ◽  
Supply Networks ◽  
Factors Affecting ◽  
Daily Schedule ◽  
Active Power Losses

THE PURPOSE. To develop an algorithm for estimating electricity losses, taking into account the influencing factors in the main circuits of shop power supply. To study the influence of the main parameters of electrical equipment on the equivalent resistance of the distribution busbar. METHODS. We use element-by-element methods for calculating active power losses using equivalent resistance on the example of a section of the main circuit of the shop network. Factors affecting the equivalent busbar resistance, such as the root-mean-square load factor, the load graph shape factor, the resistance of the contact connections of switching devices, and the ambient temperature, are investigated. RESULTS. The values of the resistances of the branch lines from the busbar are calculated taking into account the heating of the conductors and the resistances of the circuit breakers and magnetic starters installed on the line during the element-by-element calculation. The relations in the value of the equivalent resistance of the busbar to the values of the resistances of the contact connections of low-voltage electrical devices installed on the branch lines from the busbar, the values of the resistances of the branch lines taking into account heating, the value of the resistance of the busbar and the values of the resistance due to the heating of the busbar are revealed. CONCLUSIONS. The share of each of the studied parameters in the value of the equivalent resistance of the busbar is determined. The value of the relative error in determining the equivalent resistance of the busbar depending on the number of connected electric receivers and taking into account the studied parameters is calculated. The estimation of the value of the electricity losses of the section of the main scheme of the shop network was carried out in accordance with the daily schedule of the load of consumers.

Transformer Region Customer Information Detection System

2015 ◽  
Vol 713-715 ◽  
pp. 333-336
Author(s):  
Zhao Ping Wu ◽  
Jun Jie Yang ◽  
Zhi Bin Lou ◽  
Jin Ming Yao ◽  
Ru Sen Fan
Keyword(s):  
Electric Power ◽  
Information Management ◽  
Low Voltage ◽  
Detection System ◽  
Complex Line ◽  
City Area ◽  
Customer Information ◽  
Power Line Carrier ◽  
Information Detection ◽  
Line Loss

Aim at solving the electricity customer unclear ownership problems in some old city area, the transformer region customer information detection system was designed, using low voltage power line carrier (PLC) technology to detect transformer of the connectivity of concentrator and the collector within their respective jurisdictions, and further determined the dependencies of the electric power customer and concentrator, displayed results in the information management server. The system consists of the customer information detection terminal and the customer information management software. The experimental results show that the system can actually solve the issues of mixed customer information under the complex line loss problem.

Quantitative Analysis of the Fluctuation Reasons of Grid Line Loss Rate

2014 ◽  
Vol 672-674 ◽  
pp. 1060-1065
Author(s):  
Yu Ze Zhang ◽  
Wen Ying Liu ◽  
Wei Zhou Wang ◽  
Jing Jing Zheng
Keyword(s):  
Power Supply ◽  
Loss Rate ◽  
Loss Analysis ◽  
Factors Influencing ◽  
Power Supply Enterprise ◽  
Fluctuation Range ◽  
On Line ◽  
Line Loss ◽  
Major Factors ◽  
Electric Quantity

While analyzing the line loss, power supply enterprise always encounters circumstances in which the line loss rate swings heavily, especially during the months when there exists season alternate or long vacations, the fluctuation range of the line loss rate grows larger, and it will be apparently on the high side or on the low side. This text figured out the major factors influencing the fluctuation of the line loss rate, quantitatively analyzing three factors’ effects on line loss rate, which respectively are non-correspondence electric quantity for supplying and selling, the dedicated line which large consumer load transfers and the change of electric quantity which is nondestructive for sale, thus facilitating the grid enterprises dynamically analyzing the line loss in time, providing authentic line loss data for electric power departments at all levels, electricity board, power supply station, improving the accuracy of line loss analysis, dismissing the human factors during the fluctuation of line loss.

scholarly journals Modeling and Algorithm Research on Identification of Wrong Wiring Power Supply Region based on Classification Analysis

2021 ◽  
Vol 2068 (1) ◽  
pp. 012036
Author(s):  
Zongpeng Li ◽  
Liang Yu ◽  
Jian Liu ◽  
Liangli Su ◽  
Huang Tan ◽  
...  
Keyword(s):  
Power Supply ◽  
Loss Rate ◽  
Negative Power ◽  
Power Company ◽  
Before And After ◽  
Rate Maximum ◽  
Rate Minimum ◽  
Line Loss ◽  
Positive Line ◽  
Identification Model

Abstract The wrong wiring of the power supply region directly affects the accuracy of the metering data. This paper based on the existing data of the power supply regions, defined four indicators which include minimum negative line loss rate, maximum positive line loss rate, minimum power factor and maximum number of negative power values. Then by using the four indicators before and after the wrong wiring rectification of the historical wrong wiring regions and the decision tree algorithm, the wrong wiring regions identification model was built. The identification model was used to identify the wrong wiring regions in all regions of the power company, and the regions identified as wrong wiring by the model were inspected on-site. The inspection result shows that the precision of the model is satisfactory, which can effectively improve the inspection and rectification efficiency of the wrong wiring regions.

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