Analysis of the Energy Metering Problem in Dynamic Environment

2014 ◽  
Vol 668-669 ◽  
pp. 673-676
Author(s):  
Zhuo Wang ◽  
Hai Bao
Keyword(s):  
Steady State ◽  
Electric Power ◽  
Electric Energy ◽  
Dynamic Environment ◽  
First Order ◽  
Energy Metering ◽  
Analytic Expressions ◽  
Engineering Environment ◽  
Linear Elements ◽  
Power Metering

The traditional electric power metering theory is a kind of no-error metering theory in sinusoidal steady-state circuit. However, the applying condition is too rigor, and the engineering environment is hard to fulfil, the application premise should be extended to dynamic. Ideal linear elements are adopted to build a first-order dynamic circuit. And the analytic expressions of the capacitor cumulative electric energy in the charging process are derived theoretically. It points out that the cumulative electric energy of capacitor in dynamic circuit is a nonzero value. This fully demonstrates that the energy metering principle brings error when it is used in dynamic environment.

scholarly journals METHODS OF FIGHTING AGAINST NON-SANCTIONED INTERVENTION INTO POWER METERING SYSTEMS

2019 ◽  
pp. 14-22
Author(s):  
Sergey Vladimirovich Kononenko ◽  
Maxim Vladimirovich Savenkov ◽  
Dmitriy Aleksandrovich Ilyin ◽  
Guzel Raisovna Sanzhapova
Keyword(s):  
Electric Power ◽  
Power Supply ◽  
Heat Supply ◽  
Electric Energy ◽  
State Standards ◽  
Winter Period ◽  
Electric Energy Consumption ◽  
Resource Cost ◽  
Power Metering ◽  
Supply Systems

Electric energy consumption on the industrial scale, technological connection of new grids and providing them with required power supply considerably increase the resource cost and, as a consequence, the desire of the consumer to save. The timeliness of emergency recovery operations on the sections of electric grid and the successful startup of the power and heat supply systems in the autumn-winter period directly depend on the consumers’ good faith and paying capacity. Methods of electric power theft have been analyzed; methods of fighting the electric energy losses in a distribution network by main organizations have been considered. It has been suggested to make changes in the state standards and methods of verification of counters of electric energy in order to prevent the electric power plunder.

scholarly journals Research on Defect Detection of Electric Energy Metering Box Based on YOLOv5

2021 ◽  
Vol 2087 (1) ◽  
pp. 012081
Author(s):  
Yong Yu ◽  
Yanchao Sun ◽  
Chunxue Zhao ◽  
Chong Qu
Keyword(s):  
Data Storage ◽  
Electric Energy ◽  
Detection Accuracy ◽  
Damage State ◽  
Data Set ◽  
Operation And Maintenance ◽  
Average Accuracy ◽  
Energy Metering ◽  
Inspection Work ◽  
Power Metering

Abstract The manual inspection for the damage state of the electric energy metering box consumes a lot of time, the workload is large, and the data storage is difficult. In order to solve these problems, this paper proposes an automatic detection method for the damage state of the electric energy metering box based on the YOLOv5 algorithm. The actual metering box pictures taken by the operation and maintenance inspectors are used as the training set, LabelImage is used to annotate the data set, and YOLOv5s model is used to train the data set. The experimental results show that the method proposed in this paper can accurately mark the position of the metering box lid and accurately predict its damage state. The average accuracy reaches 98%, which can meet the requirements for the detection accuracy of the power metering box damage state in the operation and maintenance inspection work.

scholarly journals Steady State Modification Method Based On Backpropagation Neural Network For Non-Intrusive Load Monitoring (NILM)

2018 ◽  
Vol 218 ◽  
pp. 02013
Author(s):  
Sigit Tri Atmaja ◽  
Abdul Halim
Keyword(s):  
Neural Network ◽  
Steady State ◽  
Electric Power ◽  
Recognition Rate ◽  
Electric Energy ◽  
Backpropagation Neural Network ◽  
Local Data ◽  
Load Power ◽  
Modification Method ◽  
Load Monitoring

Household electric power sector is highlighted as one of significant contributors to national energy consumption. To reduce electric energy usage in this sector, a technique called Non-Intrusive Load Monitoring (NILM) has been developed recently. NILM is a load disaggregating and monitoring tool that can be used to identify the daily usage behavior of individual electric appliance. Different to conventional method, NILM promises the reduction of sensor deployment significantly. NILM commonly uses either transient or steady state signal. Based on load/appliance signal condition, many NILM’s research results have been published. In this paper, steady state modification method of backpropagation neural network (NN) is applied for developing NILM. We use steady state signal to disaggregate the sum of load power signal. In the proposed method, NN is explored for feature extraction of electric power consumption of individual appliance. The presented method is powerful for load power signal which has almost same value. To verify the effectiveness of proposed method, data provided by tracebase.org has been used. The presented method can be applied for local data. It is obvious from simulation results that the proposed method could improve the recognition rate of appliances until 100 %.

Analysis of Input Phase for PLL in Dynamic Environment

2014 ◽  
Vol 668-669 ◽  
pp. 669-672
Author(s):  
Yao Xuan Feng ◽  
Hai Bao
Keyword(s):  
Dynamic Condition ◽  
Electric Energy ◽  
Dynamic Environment ◽  
Analytical Description ◽  
Research Field ◽  
Operating Environment ◽  
Transform Method ◽  
Zero Crossing ◽  
Energy Metering ◽  
Input Equation

In dynamic operating environment, it is one of key issues in the research field of electric energy metering that the accuracy of synchronous sampling signal based on phase locked technology. Because operating environment changes from steady state to dynamic, analytical description of PLL input signal becomes an urgent problem to be solved. In this paper, dynamic signal is analyzed mathematically by using zero-crossing detection theory, its phase expression is obtained, then mathematical equivalent conversion is made based on operation characteristics of PLL, its phase input equation is obtained, finally the correctness of the input equation is verified by Fourier transform method. This study lays the foundation for error analysis of electric energy metering system under dynamic condition.

A New Method for Calibrating Digi-Data Input Power Meter

2012 ◽  
Vol 220-223 ◽  
pp. 1507-1513
Author(s):  
Guo Ying Lin ◽  
Shang Li Zhou ◽  
Wei Ming Sun
Keyword(s):  
Electric Power ◽  
Electric Energy ◽  
Input Power ◽  
New Method ◽  
Digital Data ◽  
Data Input ◽  
Analog To Digital ◽  
Power Meter ◽  
Energy Metering ◽  
Power Standard

Recently, China is developing smart grid with great strength, more and more digital substations will be built, therefore, it is time for thinking of the accuracy of the new electric energy metering devices. But the new electric energy metering devices are different from the traditional meters by using Digi-Data interface instead of voltage and current interface, requiring a new method of testing error. By equivalently transforming electric power from analog to digital, we design a special electric power standard with digital-data-interface according to IEC61850. Based on the special electric power standard, this article introduces a new method for calibrating digi-data input power meter.

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