Intelligent Energy Meter Research Articles

Research on failure rate evaluation test method of energy meter in charging pile

Abstract To verify the failure rate of intelligent energy meter in charging pile and whether it can meet the reliability requirements in “general technical specification for single-phase intelligent electric energy meter (2020)”. Take 20 smart meter samples from four manufacturers, use the accelerated life model and carry out the accelerated test in the way of stress acceleration for a total of 4000 hours, and evaluate the failure rate indicators under normal working stress. The test results show that the single-phase intelligent watt hour meters produced by the four manufacturers can meet the reliability requirements such as annual failure rate index. The accelerated test theory is applied to the reliability life and failure rate evaluation of intelligent electric energy meter to shorten the test time, improve the test efficiency and reduce the test cost.

A Method for Analyzing the Operating Data of Electric Energy Meters Based on Data Mining Analysis

Aiming at the problem of error estimation of smart meters in distribution network, a method of error estimation of smart meters based on particle swarm optimization convolutional neural network is proposed. This method establishes an intelligent energy meter error estimation model through data collection, data prediction, and preprocessing. To address the convergence issue in training, the interlayer distribution of weights is adjusted to improve training quality. This method fully utilizes template calibration information to transform indicator detection under complex conditions into simple and effective isometric segmentation, transforming label recognition from complex text detection and recognition tasks to simple and efficient binary detection tasks, with better robustness. The effectiveness and high robustness of the proposed method have been demonstrated through experimental verification.

Research on intelligent analysis device for dynamic error of electric energy

With the development of smart grids, the introduction of intermittent energy and the increase in dynamic loads have led to more and more dynamic characteristics of electricity loads in the grid. Intelligent energy meters that passed calibration under steady-state load may not necessarily meet the measurement error requirements under the excitation of dynamic load test signals, and some may even produce significant errors. At present, research on dynamic error testing of intelligent energy meters mainly focuses on establishing models of dynamic error testing signals, and the reasons for the generation of dynamic errors are still unclear. In order to analyze the sources of dynamic errors in intelligent energy meters, this article adopts a mechanism modeling method to establish a full system model of intelligent energy meters, in order to analyze the influence of model parameters of each unit on the dynamic errors of active energy, and provide important theoretical reference for further improving the dynamic error characteristics of energy meters. In addition, identifying the sources of errors has important application value for improving the algorithm of energy metering chips, optimizing the overall design of energy meters, and selecting energy meters in dynamic load scenarios for the power sector.

Energy Measurement Technology of Low-frequency 20 Hz Intelligent Energy Meter

A high-speed and high-precision voltage and current acquisition scheme suitable for 20 Hz low-frequency energy metering, and an energy meter suitable for low-frequency transmission scenarios was designed in this paper. A high-precision energy metering algorithm based on low-frequency metering for three-phase energy meters, using the four-term third-order Nuttall window algorithm to address the impact of asynchronous sampling on metering was proposed in this paper. Equipped with sampling and metering algorithms suitable for low-frequency transmission, the designed meter achieves seamless calibration of diagonal difference and stable power calculation. Adopting an A/D+DSP metering scheme, a 24-bit A/D chip is selected as the signal sampling unit, and a 32-bit high-speed DSP is used as the signal processing unit to achieve the sampling and processing function of 20 Hz signals, completing the low-frequency transmission scenario electricity metering.

Principles of construction of a multifunctional intelligent electric energy meter with advanced communication and functional capabilities

Objective. Development of principles for the construction of a multifunctional intelligent electric energy meter (MSE) with expanded communication and functional capabilities and the construction of MSE based on them for automated systems of commercial accounting of energy consumption (ASKUE).Method. When developing the principles of the construction of the IEE, an analysis of existing electric energy metering devices was carried out and their main disadvantages were identified, which made it possible to improve the characteristics and expand the functionality of metering devices. The operability of the main components of the IEE is confirmed by the results of mathematical and physical modeling, which showed the possibility of improving the metrological characteristics and technical parameters that determine the quantitative, qualitative and cost characteristics of the devices.Result. The principles of the construction of the IEE have been developed, which makes it possible to create IEE with expanded communication and functional capabilities for the ASUE.Conclusion. Using them in ASCUE posvolit: -to build self-adjusting mesh networks based on them, which can be used in the construction of ASCS with increased survivability; -to ensure the exchange of accounting and service information with the ASKUE over the radio channel, PCL modem and RS-485 (CAN) interface, which increases the reliability of obtaining accounting information and integrate the MISEE into existing ASKUE, because it makes it possible to select the appropriate type of specific ASKUE interface or communication interfaces "counter-ASKUE";- regulate energy consumption and independent disconnection of the consumer from the network for each subscriber unit (separately for each subscriber) in case of arrears of payments, network overload and unauthorized access to the nodes and blocks of the meter in various ways;- to improve the operating conditions of the meter when organizing electronic payments and increasing the reliability of accounting information due to contactless remote removal of information by means of communication interfaces for each subscriber or by means of an individual remote control (remote control).-to reduce the hardware costs of servicing one subscriber associated with the use of the main units and units of the meter to account for energy consumption for all subscribers, and, as a result, the low cost of electricity metering in recalculation per subscriber.

Quality Data Collection and Quality Monitoring of Smart Electric Energy Meter Based on Acceleration Sensor

In order to solve the problem of frequent switching and tripping of intelligent power meter and ineffective power failure, a quality data collection and quality monitoring based on acceleration sensor is proposed. Firstly, this paper briefly describes the objects and methods of quality data acquisition and quality monitoring of intelligent watt hour meter. At the same time, based on the analysis of the requirements of quality data acquisition and quality monitoring of intelligent watt hour meter and based on B/S architecture, the quality data acquisition and quality monitoring framework of intelligent watt hour meter is designed. Finally, an intelligent power meter quality monitoring interface with friendly interactive and real-time display acceleration sensor is built using SVG and JavaScript technology. The results show that the collection and monitoring data based on acceleration sensor, three batches of three-phase 0.2 intelligent electric energy meters, meet the operation requirements. Among them, the batch failure rate and classification failure rate in the operation of the third batch are low, and the sampling qualified rate is high, which is an excellent level. The intelligent power meter quality data collection and monitoring system of acceleration sensor can also meet the requirements of full life cycle monitoring of intelligent energy meter quality. It provides a new method for the data acquisition of intelligent electric energy meter and hopes to provide some references for the timely discovery and solution of the quality problems of intelligent electric energy meter in the future.

A comprehensive study on energy meters and power tampering attempts

Electricity is the basic need of today’s scenario. In the 21 st generation, growth and development is totally dependent on electricity. Thus, measurement of consumption of electricity becomes much more important. Energy meter used to measure consumed electricity by building or electrical equipment of various end users. This paper focuses on review of energy meters and power tampering attempts. It will highlight the development of meters from electromechanical meters to smart meters. The need of an era is to develop a more reliable and intelligent smart energy meters. This paper also discussed type of power tampering efforts in energy meters for power theft. The concept of smart meters for removing the power tampering efforts is also discussed.

A comprehensive study on energy meters and power tampering attempts

Electricity is the basic need of today’s scenario. In the 21st generation, growth and development is totally dependent on electricity. Thus, measurement of consumption of electricity becomes much more important. Energy meter used to measure consumed electricity by building or electrical equipment of various end users. This paper focuses on review of energy meters and power tampering attempts. It will highlight the development of meters from electromechanical meters to smart meters. The need of an era is to develop a more reliable and intelligent smart energy meters. This paper also discussed type of power tampering efforts in energy meters for power theft. The concept of smart meters for removing the power tampering efforts is also discussed.

Research and Analysis on the Reliability of Smart Energy Mete

Analysis and study the reliability theory of smart electric energy meters, as well as reliability analysis indicators and fault distribution rules. Starting from the distribution law of fault data and reliability indicators of fault life, the reliability of electric energy meters is analyzed by collecting field maintenance data. The reliability model is used to study the failure modes, causes and effects of smart electric energy meters. The research and analysis of the reliability of the smart electric energy meter ensure the normal operation of the intelligent electric energy meter and improve the stability and reliability of the intelligent electric energy meter.

Research and Analysis on Evaluation Methods of Electrical Performance of Smart Energy Meters

Based on the technical specifications of smart meters, the electrical performance evaluation methods of single-phase smart meters are studied, and the accuracy, stability and safety of smart meters are analyzed and studied through specific data verification. Analysis the basic characteristics of the electrical performance of the smart energy meter, and evaluate the electrical performance based on the basic characteristics. Collect the specific working characteristic data of the intelligent electric energy meter, accurately measure the parameters of the intelligent electric energy meter, and analysis the electrical performance. Analysis the influence of the harmonic components of the power system on the measurement of the electric energy meter, study the power consumption of the smart electric energy meter, and the accuracy and stability of the operation.

Reliability Analysis of Intelligent Electric Energy Meter under Fusion Model Illness Analysis Algorithm

This work is aimed at solving the morbidity problem of the smart meter fusion model and improve the measurement accuracy and reliability of the smart meter. Starting with the topology of the smart meter, the reason for the serious morbidity of the smart meter model is discussed. First, the basic process of power system state estimation of smart meters is introduced, and the concept of error analysis of smart meters is clarified. Then, the causes and mechanisms of the ill‐conditioned problems of the smart meter model are analyzed, and methods to reduce the morbidity of the smart meter calculation model are analyzed. Finally, a data optimization algorithm based on a greedy strategy and an improved Tikhonov regularization method is proposed. The model data is processed and optimized to reduce the morbidity of the smart meter measurement model. The results show that the analysis algorithm for reducing the morbidity error of the smart meter proposed in this study can effectively interfere with the morbidity of the smart meter calculation model. The processing effect shows that it can reduce the measurement error of the smart meter to about 5%, which is an order of magnitude lower than the error before processing, and the processing effect of the least square method is improved by more than 70%. From the perspective of processing speed, when the user number is between 50 and 100, the running time of the algorithm ranges between 1.5 and 3.5 s, which can be fully adapted to the actual situation and has strong practicability. In short, this study is helpful in improving the accuracy and reliability of smart meter calculations and provides a certain reference for related research.

New generation single-phase charge-control intelligent electric energy meter based on remote interaction

The single-phase charge-control smart energy meter adopts the most advanced energy meter ASIC, microprocessor materials, non-volatile memory, permanently stored information, wide-screen LCD and other advanced technologies. A set of high-accuracy, wide-load, high-sensitivity, low-power-consumption, which is used for measuring the rated frequency of single-phase power grid 50 / 60Hz, in AC active energy meters. This single-phase electricity meter integrates multiple functions in one to realize active and active measures for energy to achieve remote real-time voltage, current, neutral current, power, power factor, and the use of remote systems to achieve sales of electricity users Pre-emptive prepayment. It can flexibly set various functions: free electricity consumption, fault alarm, automatic power off, record opening, automatic meter reading.

Research on Key Technology of State Evaluation and Replacement Acquisition System of Intelligent Electric Energy Meter Based on Smart Grid

Based on big data technology, the smart meter operation status analysis system uses distributed storage, distributed analysis and calculation, and data mining to integrate the mass of energy meter information in the electricity information collection system, measurement and production scheduling platform, and marketing business system. The data is converted into a smart meter operation status report, which guides the staff to calibrate or rotate the meter, and solves the problem of wasting human and material resources in the current meter management method. The concepts and key technologies of big data technology and data mining are expounded, and the big data platform of the hierarchical structure smart meter operation status analysis system is introduced in detail.

Research on the Combination Technology of Smart Meter Status Evaluation and Acquisition Function Based on Big Data Technology

In order to study the key technologies suitable for large-scale intelligent electric energy meter automatic verification, the discrete verification mode is discussed from three aspects of data interaction, scheduling control, and intelligent diagnosis. First, build an application architecture for automated verification data from the perspective of multi-dimensional perception, use WCF and MQ communication modes to build a data interaction architecture, and propose a feedforward feedback integrated control mechanism; second, based on the automated verification control architecture, establish a space-time vertical and horizontal scheduling control strategy; finally. According to the category of automatic verification equipment, classify abnormal / fault categories and establish a fault knowledge base. Based on the intelligent diagnosis process of “alarm-discovery-diagnosis-processing-learning” mechanism, build an intelligent diagnosis application framework. The proposed method effectively guarantees the accuracy and reliability of the interactive data, realizes the automatic verification of space-time cooperative operation, and can effectively improve the daily operation and maintenance efficiency of large-scale automated verification.

NQI Status and Demand Analysis of Intelligent Electric Energy Meter Industry

Taking the opportunity of undertaking the project of “NQI Typical Demonstration Application” of the key research and development projects of the state, and taking the intelligent electric energy meter as the breakthrough point, the production and use process of intelligent electric energy meter in the whole life cycle is summarized as eight links: research and development design, material purchasing, production and manufacturing, factory supply, acceptance and inspection, storage and distribution, installation and operation, dismantling of scrap and so on, and the status of National Quality Infrastructure (NQI) in intelligent electric energy meter industry is carded out. At the same time, the paper summarizes the development needs of intelligent electric energy meter industry in measurement, standards, inspection, certification and accreditation, which provides guidance and basis for the construction of NQI in smart grid measurement field.

Research on Influence of Power Carrier Communication on Smart Energy Meter

In order to enable the smart energy meter to conduct trade settlement work in a normal and stable manner, in order to ensure the interests of both power users and power companies, the impact of power carrier communication on smart energy meters is studied. Through the carrier communication impact test of various bandwidth, frequency and intensity, it analyzes whether it has influence on the metering function, timing function, storage function and carrier communication function of the intelligent electric energy meter. The test analysis of the system provides data support for the in-depth study of the energy meter detection method and the operating environment.

Optimization Scheduling of Electric Energy Meter Automatic Testing System

Recent years, the wide application of intelligent energy metering in smart grid leads to the increasing demand for intelligent energy meters. Automated, industrialized large-scale verification systems are widely constructed in important local power supply companies to increase the intelligent energy meter verification ability. The optimization scheduling of verification system utilizing the advanced optimization scheduling method is a necessity to improve verification efficiency. With this regard, considering the block of multi-function verification device caused by unqualified verification result, a model based on the robust optimization method is proposed to minimize the total verification time and improve the verification work efficiency. Deterministic transformation is illustrated to solve the model. The accuracy and effectiveness of the proposed optimization model are verified in simulation results and actual operation.

Performance analysis of a smart meter node for congestion avoidance and LoS coverage

Smart meters are intelligent next-generation energy meters which are used for measuring energy consumption and transmitting information over a network. In a real-time environment, a smart meter network faces congestion and coverage issues. To connect to the network, a network interface card (NIC) is installed for each smart meter. NICs are hardware components that link a host to a network and acts as both the physical and data link layer. Generally, a single node is connected to a NIC. We found that the use of multiple NICs in a node shows significant improvement over the use of a single NIC to overcome network congestion in a real-time environment. The line of sight (LoS) between the transmitter and the receiver is a coverage issue in a smart meter network, which leads to an increase in the packet loss ratio (PLR). In this work, we address network congestion and the coverage issue through multi-channel capability and maximum LoS with single-and multi-hop nodes respectively. The proposed multi-channel network shows two times improvement in the throughput over the regular system; with additional hardware and approximately 1.5 times lower PLR for Node. The experimental results suggest that for a single-hop node, approximately 30 m is the average distance over which LoS communication is possible, and for multi-hop nodes, the distance is 24 m.

The Anti-RFI Design of Intelligent Electric Energy Meters with UHF RFID

In order to solve the existing artificial meter reading watt-hour meter industry is still slow and inventory of common problems, using the uhf radio frequency identification (RFID) technology and intelligent watt-hour meter depth fusion, which has a one-time read multiple tags, identification distance, high transmission rate, high reliability, etc, while retaining the original asset management functions, in order to ensure the uhf RFID and minimum impact on the operation of the intelligent watt-hour meter, proposed to improve the stability of the electric meter system while working at the same time, this paper designs the uhf RFID intelligent watt-hour meter radio frequency interference resistance, put forward to improve intelligent watt-hour meter electromagnetic compatibility design train of thought, and introduced its power and the hardware circuit design of printed circuit board, etc.

Reliability Prediction Approaches For Domestic Intelligent Electric Energy Meter Based on IEC62380

The reliability of intelligent electric energy meter is a crucial issue considering its large calve application and safety of national intelligent grid. This paper developed a procedure of reliability prediction for domestic intelligent electric energy meter according to IEC62380, especially to identify the determination of model parameters combining domestic working conditions. A case study was provided to show the effectiveness and validation.