Electric Energy Meter Research Articles

Scheduling optimization of electric energy meter distribution vehicles for intelligent batch rotation

As industrial technology continues to advance through integration, society's demand for electricity is rapidly increasing. To meet the requirements of refined grid management and address the elevated challenges arising from the increased electrical load, this paper delves into the investigation of distribution vehicle scheduling for the practical scenario of batch rotation of smart meters. Initially, based on the practical distribution task requirements of a provincial metrology verification center, a multi-level optimization model is constructed for the batch rotation and distribution vehicle scheduling of smart meters. The primary objective is to maximize the enhancement of smart meter distribution efficiency while minimizing the overall distribution cost. Moreover, this paper introduces a refined Grey Wolf Optimization algorithm (OLC-GWO) based on Opposition-based Learning, Levy flight strategy, and Cauchy mutation to solve the model. By generating an opposite population to improve the quality of initial feasible solutions and further harnessing the global search capabilities of Levy flight and Cauchy mutation operators, the algorithm's effectiveness is enhanced. The algorithm is subjected to testing using multiple benchmark functions and its performance is compared with variants of GWO, as well as several cutting-edge intelligent optimization algorithms including Particle Swarm Optimization (PSO), Harris Hawks Optimization (HHO), and Honey Bee Algorithm (HBA). The results indicate that OLC-GWO exhibits excellent performance in terms of convergence speed and optimization capability. Finally, the improved algorithm is subjected to simulation experiments by incorporating order data from the practical distribution operations of a provincial metrology verification center. The outcomes verify the efficiency of the proposed algorithm, reinforcing the practical significance of the established model in addressing the real-world challenge of batch rotation and distribution vehicle scheduling for smart meters.

Analysing renewable energy flow distribution and its influence on grid electricity prices

The paper presents an approach to the assessment of technical and economic efficiency for an electric energy (EE) transport in a distribution grid. It is focused on the extent of renewable energy sources (RES) integration efficiency according to energy prices in a grid. A two-step procedure for calculation is used in terms of the approach. The first one includes the obtaining of energy flows distribution in a grid. The next step provides the calculation of costs flows and nodal prices for electric energy. Both stages are performed using a developed branch flow model. Unlike power flow distribution describing the instant point of time, energy flow distribution developed for any operation duration deals with the integral values of the flows. This is of great importance for the deeply varying output profiles of the intermittent renewables. The model provides the direct utilization of electric energy meters data available in a grid. The approach presented is essential for locating the particular consumers of the renewable energy in terms of a grid’s deep state and circuit diversity as well as for analyzing the influence of a renewable energy for electricity prices, and estimating the necessary renewables’ levelised cost of energy (LCOE).

Degradation Analysis: Modeling and Evaluating for Electric Energy Meters under Multi-stress

The measurement accuracy of electric energy meters (EEMs) is crucial for respecting the fairness of the electricity market and the justice of electric energy settlement. However, the basic error (BE) of the measurement suffers from external stress, especially under extreme environments. It is challenging to evaluate the degradation trend of EEMs under multi-stress. To address this issue, this paper proposes modeling and evaluating methods for precise degradation analysis of EEMs under multi-stress. First, an optimized k-nearest neighbor (OKNN) is proposed to correct the outliers, where the stress-related weight and weighting factor are designed. Then, a varied-bias wiener process with hierarchical Bayesian (VWHB) model is introduced to evaluate and explore the impact of stress on the BE. The multi-stress, as well as the BE, are fused to parameterize this impact. Integrating the OKNN and VWHB, a degradation analysis framework is further proposed to model the data and conduct the degradation analysis. Extensive experiments on field data collected from the typical operating environment lab demonstrated that the proposed degradation analysis framework reveals superior performance than some state-of-art approaches. The root of the mean of the square of errors and the mean of absolute value of errors of OKNN-VWHB are the lowest with 0.0356 and 0.0281, respectively, for all the EEMs from three different companies.

Application of Gradient Boosting Decision Tree Algorithm in Operation Quality Evaluation of Electric Energy Metering Device in Electric Power Company

Application of Gradient Boosting Decision Tree Algorithm in Operation Quality Evaluation of Electric Energy Metering Device in Electric Power Company

Application of electric energy meters in industrial processes

Application of electric energy meters in industrial processes

Research on electric energy measurement system based on intelligent sensor data in artificial intelligence environment

Abstract Electric power resources are the core energy for a country’s economic development and growth. China is at the peak of electric energy consumption at this stage. Improving the accuracy and integrity of electric energy metering technology is of great significance for evaluating the use and consumption of resources in China. Under the background of artificial intelligence, this research analyzes and studies the integrated module, demand status, performance optimization, and coupling degree of the electric energy metering system (hereinafter referred to as EES) through the application of two different types of sensors. The results show that the application of intelligent sensors has a better integration effect with the system management of electric energy metering, which plays a very important role in promoting the sustainable development of automation and informatization of the EES.

ELECTROMAGNETISM: Application of physics in electrical energy meters

ELECTROMAGNETISM: Application of physics in electrical energy meters

Design and engineering application of a new type of copper bar-embedded metering box based on DFA theory

Based on the design theory that products can be assembled, the optimal design of the electric energy metering box in the embedded copper bar and other aspects is realized, the product wiring is standardized and concealed, the assembly method is optimized, the assembly difficulty is greatly reduced, several problems in cost and quality are solved in industrial design, and objective score data from experts are obtained through perceptual experiments. It provides a new design method and evaluation idea for the field of power measurement and has great popularization value.

Online verification and management scheme of gateway meter flow in the power system by machine learning

Currently, the calibration of electric energy meters often involves manual meter reading, dismantling inspection, or regular sampling inspection conducted by professionals. To improve work efficiency and verification accuracy, this research integrates machine learning into the scheme of online verification and management of gateway meter flow in the power system. The approach begins by applying the Faster Region Convolutional Neural Network (Faster-RCNN) model and the Single Shot MultiBox Detector (SSD) model to the recognition system for dial readings. Then, the collected measurement data is pre-processed, excluding data collected under light load conditions. Next, an estimation error model and a solution equation for the electricity meter are established based on the pre-processed data. The operation error of the electricity meter is estimated, and the estimation accuracy is verified using the limited memory recursive least squares algorithm (LMRLSA). Furthermore, business assistant decision-making is carried out by combining the remote verification results with the estimation outcomes. The proposed dial reading recognition system is tested using 528 images of meter readings, achieving an accuracy of 98.49%. In addition, the influence of various parameters on the error results of the electricity meter is also explored. The results demonstrate that a memory length ranging from 600 to 1,200 and a line loss error of less than 5% yield the most suitable accuracy for estimating the electricity meter error. Meanwhile, it is advisable to remove measurement data collected under light load to avoid unnecessary checks. The experiments manifest that the proposed algorithm can properly eliminate the influence of old measurement data on the error parameter estimation, thereby enhancing the accuracy of the estimation. The adjustment of the memory length ensures real-time performance in estimating meter errors and enables online monitoring. This research has certain reference significance for achieving the online verification and management of gateway meter flow in the power system.

Analysis of production loss trough quality management tolls - Case study in am electric energy meter production industry

In the modern world, organizations need to be constantly looking for ways to improve their production processes. One way to achieve this goal is through the use of basic quality tools, which are widely used by organizations. In this work we used the check sheet, the Pareto chart, cause and effect diagram, 5W2H and FPY. This work aims to minimize the high rate of production loss in the Exat test in the production lines of a company located in the State of Amazonas that operates in the electronic sector. After the analysis it was concluded that the high failure rate in Exat is linked to high numbering / misalignment / bad contact, identifying the causes of failure and then was built and implemented action plan that decreased the rate by 34.36% compared to previous year implementation of action plan.

Development of the remote automatic calibration system of the verification equipment for AC electrical energy meters

The calibration of the verification equipment for AC electrical energy meters (hereinafter referred to as the DUT) was being performed manually till now. A new system for remote automatic calibration of the DUT, which applies cloud server, 4G cellular mobile interconnection technology and virtual serial communication technology, was firstly proposed in this paper. The technical problems of remote automatic calibration of large equipment, and safety problems in equipment transportation, wiring and installation were solved by developing automatic test and management software, remote communication management platform, designing and developing remote control device and special connection terminal base.

SISTEM MONITORING KWH METER DIGITAL BERBASIS IOT PADA LABORATORIUM PERALATAN MEDIS

The educational process, which is supported by adequate laboratory facilities and infrastructure, will produce professional higher education tri-dharma outputs, both for students and lecturers. The Medical Equipment Laboratory is a place where experimental studies with various equipment and devices, analyses, and observations are carried out. The amount of electrical energy used by a university can be measured using an electric energy meter, namely the kWh meter, but the university cannot monitor which building or room uses the most electrical energy because it only knows the amount of power used each month. Given these problems, a digital kWh Meter monitoring tool based on the Internet of Things (IoT) is designed to measure the amount of current, voltage, power, and costs that must be incurred while using medical equipment and can then be monitored in real time using the Blynk application as the server. The implementation system for monitoring the kwh meter using the PZEM-004T sensor has a very good accuracy rate of 99.52% for measuring voltage and 99.87% for measuring current on medical equipment in the medical equipment laboratory at the PGRI Yogyakarta University. It was found that the greater the applied load value, the more the impact on data outputs such as current and voltage would affect the size of the monthly electricity bill. The monitoring system can be carried out within a radius of 20 meters as long as the smartphone is connected to a WiFi connection. Monitoring activities and electrical device control activities can be carried out.

Intelligent Circuit Breaker

This paper designs an intelligent protective circuit breaker, which can monitor the leakage, voltage, current, temperature, and other parameters in the user’s line in real-time through the built-in electric energy metering module, leakage, temperature sensors, and alarm according to the set alarm threshold. It can give early warning about the dangerous situation in the user’s line in advance. At the same time, it can upload to the cloud platform through the wireless communication module for remote detection, which can effectively reduce the risk of an electrical fire.

Research on Intelligent Verification System of High Voltage Electric Energy Metering Device Based on Power Cloud

To address the issues of low efficiency, poor security, insufficient compatibility, and difficulties in traceability associated with high-voltage electric energy metering (HVEEM) device verification methods, this paper proposes a design scheme for a remote verification system (RVS) of such devices based on a power cloud platform (PCP). The system adopts the concept of “high-precision local sampling + remote cloud verification” and develops a local acquisition device with compatibility and high precision to achieve fast acquisition of local electrical parameters. The IEC 61850 communication modeling is utilized to establish unified communication standards between the local device and the PCP. The PCP provides two verification methods: physical error verification based on a multi-channel standard and digital verification based on an improved Backpropagation (BP) neural network simulation model. Leveraging the advantages of power cloud technology, the system enables functions such as electrical energy calculation, remote intelligent error verification, cloud storage, condition monitoring, and early warning. Through testing and application, it has been demonstrated that the system achieves an integration accuracy level better than 0.02. It also exhibits good security, compatibility, and traceability of measurement values while attaining a high level of informatization and intelligence. Particularly, the system shows promising prospects for the remote and efficient verification of large-scale and multi-type high-voltage metering devices.

Online Monitoring Method of Medium Voltage Energy Meter Based on Load Characteristic

There are some problems in the operation state of online electric energy meters, such as monitoring blank spots and loss caused by inaccurate measurement, which will reduce the economic benefits of power grid enterprises. This paper presents an online monitoring method suitable for the medium voltage side, which determines whether the voltage at the low voltage side of the transformer changes with the load and conforms to the external characteristic law of the transformer. The measured data collected by the metering device are used to calculate the voltage value of the first three-phase line at the operation of the transformer area. The three-phase balance rate and voltage fluctuation rate are used as multi-objective functions to solve the correction coefficient of current deviation.

Smart Prepaid Electric Energy Meter Monitoring System Using Machine Learning and Internet of Things (IoT)

Energy is very precious for the living beings in recent times. The Energy consumption is consistently as increases as the population increases so the need power is also increases, The revenue in electricity system are increasing and also gets hard to monitoring the each system. It is quite Impossible to check out the consumer’s residence at regular intervals. In this paper, a new procedure of using NODE MCU to monitor and control the energy meter power supply by remotely disconnect and reconnecting the service of a particular consumer. An notification is sent to the utility central server and consumer through wi-fi module whenever the load consumption is exceeds the consumer desired value. The NODE MCU, and WEB page handle the Real-time Monitoring the load consumption notification and shows current pursuing with costs through the online page. In this exploration, we complete the accuracy of meter perusing with the help of an LCD that shows which prone to KWh, voltage, current and power factor perusing. Key Word: IOT, Smart Monitoring, Prepaid System.

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.

Structural renovation of the Secondary standard of the electric power unit for the industrial frequency range

The article reveals ways for structural renovation of the composition of the Secondary standard of the electrical power unit for the industrial frequency range with the aim of restoring the technical resource of its constituent parts, improving metrological characteristics in terms of increasing output power, as well as increasing productivity and reducing the cost of work due to their automation.
 Based on the results of the metrological characteristics’ analysis of electrical energy and power measuring equipment modern nomenclature and the existing standard base, it is proposed to make a structural renovation of the standard by including additional equipment to its composition, namely: the precision three-phase standard electricity meter compatible with the high-precision three-phase power source. The structural scheme of the renovation standard has been developed.
 The renovation of the standard allows turning the standard into a single hardware and software complex that provides calibration and testing of wide nomenclature of electric power and electric energy meters in the full range of values in high-performance automated mode.

Research on Model Construction of Electric Energy Metering System Based on Intelligent Sensor Data

The informatization construction of the power grid is becoming increasingly popular, business application systems are constantly emerging, and power-related data is rapidly expanding. These discrete power data are scattered in various application systems, and it is not easy to directly provide advanced enterprise applications. The establishment of intelligent power statistical model is an urgent need for constructing power grid informatization. This paper proposes a model of an electric energy metering system based on intelligent sensor data and introduces the existing digital metering system. This model is the integration and promotion of business integration based on the digital metering system. It is the first time to apply new metering equipment, such as measurement and control devices with integrated metering functions, and new metering technologies, such as IEC 61850 electricity meter reading applications. It is hoped that this paper can lay a foundation for further research.

A positive and negative sequence current measuring device and method based on an electric energy metering platform

At present, the current positive and negative sequence extraction methods are all based on high-performance analog-to-digital converters and need high-performance microprocessors. Or the negative sequence current measurement circuit is constructed using an analog operational amplifier, and the phase shifting method is used to achieve the measurement purpose. The above methods need to be implemented by chips with high computing power. They even need to build an additional positive sequence current measurement circuit, which makes the circuit more complex and cost-effective. This paper proposes a positive and negative sequence current measuring device and method based on the electric energy metering platform. Through the external phase, the current access device is to be measured using the power measurement value formed by the voltage channel, current channel, and multi-function measurement channel corresponding to the single-phase metering chip of the measurement unit, the included angle of phase current can be calculated, thus realizing the calculation of positive and negative sequence current. It avoids using high-performance analog-to-digital converters, effective value, frequency tracking, phase measurement, and other complex algorithms, reduces the computational requirements for MCU master chip, and reduces the development difficulty and cost.