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Showing papers on "Electricity meter published in 2019"


Journal ArticleDOI
TL;DR: The authors propose a low cost smart electric meter for the measurement of electrical parameters capable of adapting to the variability of the grid maintaining a high level of measurement accuracy and developed and compared both in simulation and with real signals.

59 citations


Journal ArticleDOI
TL;DR: In this article, a large-scale demand response demonstration involving a population of more than 300 residential buildings with heat pumps is presented, and the results of various experiments illustrate that load reductions of 40-65% of the total load can be achieved by throttling the heat pumps, and that these load reductions can be delivered precisely with a median absolute percentage error of below 7%.

44 citations


Journal ArticleDOI
19 Jul 2019-Energies
TL;DR: In this article, the improvement of the building envelope and the installations of electric-driven space heating and domestic hot water production systems are analyzed for 419 dwellings, and a set of key performance indicators were selected for energy and environmental performance.
Abstract: Electrification of the built environment is foreseen as a main driver for energy transition for more effective, electric renewable capacity firming. Direct and on-time use of electricity is the best way to integrate them, but the current energy demand of residential building stock is often mainly fuel-based. Switching from fuel to electric-driven heating systems could play a key role. Yet, it implies modifications in the building stock due to the change in the temperature of the supplied heat by new heat pumps compared to existing boilers and in power demand to the electricity meter. Conventional energy retrofitting scenarios are usually evaluated in terms of cost-effective energy saving, while the effects on the electrification and flexibility are neglected. In this paper, the improvement of the building envelope and the installations of electric-driven space heating and domestic hot water production systems is analyzed for 419 dwellings. The dwellings database was built by means of a survey among the students attending the Faculty of Architecture at Sapienza University of Rome. A set of key performance indicators were selected for energy and environmental performance. The changes in the energy flexibility led to the viable participation of all the dwellings to a demand response programme.

41 citations


Proceedings ArticleDOI
18 Apr 2019
TL;DR: A system that removes human intervention in meter readings and bill generation thereby reducing the error that usually causes chaos and energy related corruption is introduced in India.
Abstract: India faces the issue of energy theft at a very large scale. This paper introduces a system that removes human intervention in meter readings and bill generation thereby reducing the error that usually causes chaos and energy related corruption. The proposed system is implemented using a GSM shield module on microcontroller (Arduino®) together with LDR sensor and relay. Existing metering system can be minutely modified to implement the proposed meter. The proposed scheme is to connect an LDR sensor with the blinking LED and send the data to microcontroller via GSM shield. RTC provides delay and acts an interrupt. The system includes a provision of sending an SMS to user for update on energy consumption along with final bill generation along with the freedom of load re-configuration via SMS. The disconnection of power supply on demand or due to pending dues was implemented using a relay. Hardware implementation results suggest that the accuracy of the proposed system is slightly greater than that of existing smart meters. The cost of system has been estimated to be less than the available smart meters, offering the same functionality. Bilateral communication between user and system sets it apart from the commonly available smart meters

33 citations


Journal ArticleDOI
01 Feb 2019-Energies
TL;DR: In this paper, an online estimation method for the operating error of electric meters was proposed, which uses the recursive least squares (RLS) and introduces a double-parameter method with dynamic forgetting factors λa and λb to track the meter parameters changes in real time.
Abstract: In view of the existing verification methods of electric meters, there are problems such as high maintenance cost, poor accuracy, and difficulty in full coverage, etc. Starting from the perspective of analyzing the large-scale measured data collected by user-side electric meters, an online estimation method for the operating error of electric meters was proposed, which uses the recursive least squares (RLS) and introduces a double-parameter method with dynamic forgetting factors λa and λb to track the meter parameters changes in real time. Firstly, the obtained measured data are preprocessed, and the abnormal data such as null data and light load data are eliminated by an appropriate clustering method, so as to screen out the measured data of the similar operational states of each user. Then equations relating the head electric meter in the substation and each users’ electric meter and line loss based on the law of conservation of electric energy are established. Afterwards, the recursive least squares algorithm with double-parameter is used to estimate the parameters of line loss and the electric meter error. Finally, the effects of double dynamic forgetting factors, double constant forgetting factors and single forgetting factor on the accuracy of estimated error of electric meter are discussed. Through the program-controlled load simulation system, the proposed method is verified with higher accuracy and practicality.

31 citations


Proceedings ArticleDOI
01 Aug 2019
TL;DR: Monitoring the energy from the solar and energy meter with help of Arduino controller and home automation is done by IoT with Esp8266 Wifi module.
Abstract: In today’s scenario all the technologies are operated in automatic condition from anywhere around the world. Based on our government system first 100 unit of energy is not calculated by energy meter, which is used to calculate the electricity consumed unit in the consumer node. Generally the IoT’s are used for home automation application such as fan and lamp was controlled by mobile phones based on cloud platform. The existing microcontroller is used to control only one data at a time for cloud based process. However to control the data but cannot provide continues energy to the consumer node. This cloud platform is only stores the dates and control to the controller parts with use of ThinkSpeak website. But in this paper deals with monitoring the energy from the solar and energy meter with help of Arduino controller and home automation is done by IoT with Esp8266 Wifi module. This module is used for control both the data’s and monitoring the energy level of the consumer side. The data from solar and energy meter is sent to the cloud through the Wi-fi module and these data’s are dumped into the arudino controller. The controller controls both the data’s parallely with help of IoT and data’s are displayed in LCD. Thus the results of IoT energy from solar and energy meter are provides continues energy to the consumer for home appliances.

26 citations


Journal ArticleDOI
TL;DR: A power consumption big data-based abnormal power consumption state identification method based on the statistical properties of random matrices that can satisfy urgent requirements of power grids for visualization, timeliness, reliability and security but also provide a new approach for data-driven smart visual monitoring of power consumption.

22 citations


Journal ArticleDOI
TL;DR: A bottom-up method to generate synthetic residential loads realistically, but with minimal computational resources, is presented and it is shown that aggregated loads can be shaped to follow a desired signal, for example to balance intermittent solar generation.

21 citations


Proceedings ArticleDOI
28 Jun 2019
TL;DR: This paper conducts experiments in a controlled lab environment of the cyber security lab to test a commercial grade smart meter and measure the operation integrity of the smart meter under cyber-attack conditions.
Abstract: Cyber security has been a top concern for electric power companies deploying smart meters and smart grid technology. Despite the well-known advantages of smart grid technology and the smart meters, it is not yet very clear how and to what extent, the Cyber attacks can hamper the operation of the smart meters, and remote data collections regarding the power usage from the customer sites. To understand these questions, we conducted experiments in a controlled lab environment of our cyber security lab to test a commercial grade smart meter. In this paper, we present results of our investigation for a commercial grade smart meter and measure the operation integrity of the smart meter under cyber-attack conditions.

20 citations


Proceedings ArticleDOI
01 Nov 2019
TL;DR: VAPSM substitutes outdated meters and enable the energy usage access to every residential and industrial user in smart cities and provides utility providers an efficient way to collect data for billing and also save the costs of the trips to the physical location of the meter.
Abstract: The increasing demand of energy in the world is increasing by every day as not only the population is increasing but also the everyday tools and the appliances that make our lives better. This increase in demand is a major issue in developing countries, to solve this major problem every citizen needs to play his part by efficiently using energy. Voltage Ampere Power Smart Meter (VAPSM) also provides utility providers an efficient way to collect data for billing and also save the costs of the trips to the physical location of the meter. VAPSM production cost is low and it also provides flexibility of design by using microcontroller which can provide an additional option to perform other controlled or automated tasks. VAPSM communicates with the consumer and utility provider. Smart Energy Meter substitutes outdated meters and enable the energy usage access to every residential and industrial user in smart cities.

16 citations


Proceedings ArticleDOI
23 Dec 2019
TL;DR: In this paper, the authors proposed a chip-based IoT electrical meter that will capture all meter information and transmit the required meter information to the main server by means of wireless communication.
Abstract: Smart devices are growing in the latest years, enabling smart cities to be built. A smart city is focused on a smart grid that enables intelligent management of the electric grid. To make this happen, the network must have smart meters capable of duplex communication with the network. This industry has resulted in a spread of intelligent meters providing a chance to assess the consumption of each unit in households. The aim of this initiative is to create a popular chip based IoT electrical meter that will capture all meter information and transmit the required meter information to the main server by means of wireless communication. In the main server, all meter information will be handled, and the required choices will be made using the main server. Regarding pending fees, the server would inform the customer and then disconnect the line if needed. In cases of tampering, the server would respond immediately and sever the line. Experimental findings in this work demonstrate the accuracy of the readings produced using the smart device created.

Proceedings ArticleDOI
07 Jul 2019
TL;DR: From the experimental results, it is demonstrated that the presented deep learning methods detect the digital region better than the pre-trained SSD model.
Abstract: Every two months, the Taiwan Power Company will dispatch staffs to each household to read numbers in electricity meters to calculate and collect electricity bills. However, these electricity meter staff sometimes read the wrong meter numbers and so calculate the wrong electricity bill. A system that automatically detects the digital region in electricity meter, could reduce this misreading of numbers and calculate the electricity bill correctly, thereby increasing work efficiency. Herein, the deep learning model SSD (Single Shot MultiBox Detector) is applied and fine-turned to detect the digital region in electricity meter to help the Taiwan Power Company staff. From the experimental results, it is demonstrated that the presented deep learning methods detect the digital region better than the pre-trained SSD model. In the testing experiments, the accuracies of the digital region detection are 100% for both our collected data's and fine-tuned SSD, respectively.

Journal ArticleDOI
11 Nov 2019-Energies
TL;DR: In this paper, the authors presented a comprehensive data analysis and visualization of electricity consumers' prepaid bills of Tulkarm district, which is useful for predicting and forecasting future demand with a certain degree of accuracy.
Abstract: This paper presents a comprehensive data analysis and visualization of electricity consumers’ prepaid bills of Tulkarm district. We analyzed 250,000 electricity consumers’ prepaid bills covering the time period from June to December 2018. The application of data mining techniques for understanding electricity consumers’ behavior in electricity consumption and their behavior in charging their electricity meter’s smart cards in terms of quantities charged and charging frequencies in different time periods, areas and tariffs are used. Understanding consumers’ behavior will support planning and decision making at strategic, tactical and operational levels. This analysis is useful for predicting and forecasting future demand with a certain degree of accuracy. Monthly, weekly, daily and hourly time periods are covered in the analysis. Outliers detection using visualization tools such as box plot is applied. K-means unsupervised machine learning clustering algorithm is implemented. The support vector machine classification method is applied. As a result of this study, electricity consumers’ behavior in different areas, tariffs and timing periods is understood and presented by numbers and graphs and new electricity consumer segmentation is proposed.

Proceedings ArticleDOI
01 Aug 2019
TL;DR: A study on the development of an Internet-of-Things (IoT) based residential power monitoring and protection system (RPMPS) that combines the role of an energy meter and the traditional distribution fused board, with the inter-operability, scalability and advanced remote real time monitoring and control functionalities.
Abstract: The need for fault detection and isolation of power supply from appliances is a vital component of safety in homes and residential facilities. There is a growing trend and motivation to optimize energy domestically and minimize the down time of power availability due to faults in homes and offices. This paper presents a study on the development of an Internet-of-Things (IoT) based residential power monitoring and protection system (RPMPS). The continuous power monitoring system was designed and hardware-implemented as a GPRS-enabled device, with Short Message Service (SMS) capabilities, and access to the internet for effective remote monitoring and real-time protection in the different sections of the dwelling. The system is capable of providing protection over electrical hazards, voltage surges, over loading, high temperatures and other faults on the residential distribution lines. Also, the system can detect electrical smoke, shuts down the system, and relay the message of the event remotely. The system combines the role of an energy meter and the traditional distribution fused board, with the inter-operability, scalability and advanced remote real time monitoring and control functionalities. The high-tech system serves as an easy-to-install upgrade to the basic electrical distribution board for fault detection of electrical wiring faults and protection. The meter in the device has the capacity to adequately measure and indicate the parameters of power supply to appliances, leading to more efficient utilization of electricity.

Journal ArticleDOI
14 Oct 2019-Sensors
TL;DR: In this paper, a smart autonomous time and frequency analysis current sensor-based power meter prototype, a novel IoT end device, in an edge analytics-based artificial intelligence (AI) across IoT (AIoT) architecture launched with cloud analytics is developed.
Abstract: Electrical energy management, or demand-side management (DSM), in a smart grid is very important for electrical energy savings. With the high penetration rate of the Internet of Things (IoT) paradigm in modern society, IoT-oriented electrical energy management systems (EMSs) in DSM are capable of skillfully monitoring the energy consumption of electrical appliances. While many of today’s IoT devices used in EMSs take advantage of cloud analytics, IoT manufacturers and application developers are devoting themselves to novel IoT devices developed at the edge of the Internet. In this study, a smart autonomous time and frequency analysis current sensor-based power meter prototype, a novel IoT end device, in an edge analytics-based artificial intelligence (AI) across IoT (AIoT) architecture launched with cloud analytics is developed. The prototype has assembled hardware and software to be developed over fog-cloud analytics for DSM in a smart grid. Advanced AI well trained offline in cloud analytics is autonomously and automatically deployed onsite on the prototype as edge analytics at the edge of the Internet for online load identification in DSM. In this study, auto-labeling, or online load identification, of electrical appliances monitored by the developed prototype in the launched edge analytics-based AIoT architecture is experimentally demonstrated. As the proof-of-concept demonstration of the prototype shows, the methodology in this study is feasible and workable.

Proceedings ArticleDOI
23 Mar 2019
TL;DR: A system (current measuring and comparing) is proposed in which the household distribution of current is done indirectly from the electric pole to an intermediate distributor box and then to the individual houses and if a marginal difference between the currents is detected then the theft is detected.
Abstract: Power theft is normally done by two methods that is bypassing or hooking. So to detect it, a system (current measuring and comparing) is proposed in which the household distribution of current is done indirectly from the electric pole to an intermediate distributor box and then to the individual houses. The current is measured periodically in the distributor box and is posted to the server database for each house using GSM/GPRS module. Similarly, for each house electric meter is designed which can measure the value of the current and post the same to the server database periodically using GSM/GPRS module. At the time of the installation of the electric meter the details of the users are stored in the database through a user friendly mobile application including the address, latitude, longitude using mobile GPS and the photograph of the user's house/area. Upon successful comparison between the current values from distributor box and electric meter in the server if we get a marginal difference between the currents then the theft is detected. Finally, the details of the user are shared with the authorized mobile application including the address and photograph of the area. The latitude and longitude are also used to show the area of theft in Google maps. And hence the required steps are taken. The same process is used for hooking but on the individual electric poles.

Journal ArticleDOI
01 Sep 2019
TL;DR: In this paper, a real time energy meter reading system using ACS712 as current sensor, ZMPT101B as voltage sensor, arduino and an IoT server is presented.
Abstract: Energy meter is a measuring instrument to calculate the amound of electric energy consumed by an electrically powered device. The energy metering which measure line voltage, current, and calculating active power can be used to increase usage efficiency of electricity. This paper presets a system which provide real time energy meter reading using ACS712 as current sensor, ZMPT101B as voltage sensor, arduino and an IoT server. The energy meter can display consumed energy in kWh and electricity bills to be paid. system's user interface is in Android. the error in current measurement is less than 2 % and error for peak to peak voltage measurement is 4 %. A notification for the amount of electricity energy usage or electricity cost can be generated for user to be displayed.

Journal ArticleDOI
27 Nov 2019-Energies
TL;DR: A customer-aware power regulatory model is proposed that provides awareness to the consumer regarding the usage of electrical energy, in a secure and reliable solution that combines the features of electrical engineering with cloud computing to ensure better performance in notifying issues, which is done based on location and enhances the operation of smart grids.
Abstract: To maximize the utilization, reliability and availability of power resources, some distribution strategy has to be implemented, which is possible nowadays with the support of modern information technologies (IT). To further develop power utilization, the customer should be aware of efficient power utilization, and the problem of customer management has to be resolved, where payment of electric bills could be through online solutions. A customer-aware power regulatory model is proposed that provides awareness to the consumer regarding the usage of electrical energy, in a secure and reliable solution that combines the features of electrical engineering with cloud computing to ensure better performance in notifying issues, which is done based on location and enhances the operation of smart grids. Instant electric meters are equipped with remote gadgets which communicate with a central cloud administration to produce electric bills for the client. The model provides mindfulness by showing history/notifications and suggestions for energy utilization through the smart meters. The user is provided with security keys to view the reading values and pay bills. To make the solution more accessible, the electronic data will be maintained on various servers at different locations of the cloud. Subsequently, there will be a service provider who manages service requests. A hardwired electric meter transmits the electric readings, which in turn access the particular service to make an entry for the particular connection on the cloud. The usage data will also be maintained at different locations in the cloud, which are accessible to different levels of users with appropriate security measures. The user accessibility is controlled by a Third Party Auditor (TPA) that computes the trustworthiness of users using a trust management scheme. This article also proposes a hash function, which computes and verifies the signature of the keys submitted by the users and also has a higher completeness ratio, which reaches 0.93, than typical methods. This is noteworthy, and the investigation results prove the system’s proficiency in providing assured service.

Journal ArticleDOI
TL;DR: It was observed that the system accurately measured load consumption and detect any attempt to by-pass or tamper with the energy meter and all unscrupulous attempts were reported using GSM technology.
Abstract: Electricity theft remains a huge loss incurred by electricity distribution companies. This theft arises majorly because of activities carried out by consumers such as energy-meter by-passing, energy-meter tampering etc. This research study offers an approach for handling energy meter by-passing and tampering. The system design is based on the monitoring of the readings of two current sensors by a programmed microcontroller. While one of the current sensors monitors the current drawn by the user’s load, the latter installed before the meter monitors current drawn by all loads. Any discrepancy between the values read, indicates theft. A momentary switch is also installed in the meter to trigger the meter once it is tampered with. Furthermore, the user is provided with a remote access to the energy meter for recharging energy units and for monitoring energy consumption. It was observed that the system accurately measured load consumption and detect any attempt to by-pass or tamper with the energy meter. Lastly, all unscrupulous attempts were reported using GSM technology.

Proceedings ArticleDOI
01 Dec 2019
TL;DR: This GSM based system enables the electricity department to get the meter readings regularly while avoiding manual meter reading and also enables prepaid billing, electricity management, energy saving and implements a mechanism for electricity theft detection.
Abstract: Smart meter is an electronic device that measures the energy consumption by different time intervals, this time interval may be in minutes, hours, days or months. The proposed technology collects the data from meter and transfer that data to central database for storing data, analyzing and also monitoring the safety related issues. Moreover, it also includes the module which has provision of on demand units loading facility from the energy provider company by just sending a request SMS. The proposed design has been first implemented in software and then a prototype model has been developed, which communicates with the energy service provider for the consumed energy data through GSM network. The purpose of this paper is to present theory and implementation related to remote monitoring and controlling of the energy meter by using GSM architecture. This GSM based system enables the electricity department to get the meter readings regularly while avoiding manual meter reading. The work also enables prepaid billing, electricity management, energy saving and implements a mechanism for electricity theft detection.

Journal ArticleDOI
08 Nov 2019-Energies
TL;DR: In this article, a field study is carried out on the cooling energy performance of an existing, operating ventilation system placed on the flat roof of a shopping center, located in the city of Eger in Hungary.
Abstract: Climate change is continuously bringing hotter summers and because of this fact, the use of air-conditioning systems is also extending in European countries. To reduce the energy demand and consumption of these systems, it is particularly significant to identify further technical solutions for direct cooling. In this research work, a field study is carried out on the cooling energy performance of an existing, operating ventilation system placed on the flat roof of a shopping center, located in the city of Eger in Hungary. The running system supplies cooled air to the back office and storage area of a shop and includes an air-to-air rotary heat wheel, a mixing box element, and a direct expansion cooling coil connected to a variable refrigerant volume outdoor unit. The objective of the study was to investigate the thermal behavior of each component separately, in order to make clear scientific conclusions from the point of view of energy consumption. Moreover, the carbon dioxide cross-contamination in the heat wheel was also analyzed, which is the major drawback of this type heat recovery unit. To achieve this, an electricity energy meter was installed in the outdoor unit and temperature, humidity, air velocity, and carbon dioxide sensors were placed in the inlet and outlet section of each element that has an effect on the cooling process. To provide continuous data recording and remote monitoring of air handling parameters and energy consumption of the system, a network monitor interface was developed by building management system-based software. The energy impact of the heat wheel resulted in a 624 kWh energy saving and 25.1% energy saving rate for the electric energy consumption of the outdoor unit during the whole cooling period, compared to the system without heat wheel operation. The scale of CO2 cross-contamination in the heat wheel was evaluated as an average value of 16.4%, considering the whole cooling season.

Proceedings ArticleDOI
01 Oct 2019
TL;DR: The proposed approach based on Faster R-CNN to extract and recognize digits in an electric meter is robust against different lightening conditions, severe perspective distortions and blurred images, and is scaleinvariant.
Abstract: The current method of meter reading is manual and error-prone in developing countries. A meter reader logs the reading to calculate the cost of electricity. In recent years, there have been multiple efforts to provide automated solutions to read the meter digits. However, the existing systems extract reading based on a specific meter topology. In this paper, we propose an approach based on Faster R-CNN to extract and recognize digits in an electric meter. We compared our method against several state-of-the-art object detection methods. The proposed approach is robust against different lightening conditions, severe perspective distortions and blurred images. In addition, it is scaleinvariant. Furthermore, we created a new dataset consisting of 10310 images taken from electricity companies in Pakistan to benchmark meter digit recognition task. Experimental results shows the high accuracy of the proposed approach on the created electricity meter dataset.

Proceedings ArticleDOI
01 Nov 2019
TL;DR: The scheme aims to build a low cost automated energy meter billing system device that will help to standardize people's lives and prevent the loss of electricity consumption which will make humans daily life more comfortable.
Abstract: The scheme aims to build a low cost automated energy meter billing system device that will help to standardize people's lives and prevent the loss of electricity consumption which will make humans daily life more comfortable. This paper demonstrates the idea of a GSM-based energetic wireless Electrical Energy Meter Billing System. The suggested system exchanges a standard meter reading system and authorizes distant access to existing energy meter. It can detect regular meter readings without having to go to people in every home. The microcontroller (AT mega 328p) is getting used to operating the scheme with the assist of a SIM 900 GSM module and by the use of a GSM command code. The proposed system coding is performed by the Arduino, it is loaded on the AT Mega 328p via the Arduino UNO board. AT mega 328p receives information from the energy meter which helps to live the input current and voltage that is displayed in an LCD (16*2) by employing a logic rule code. Furthermore, the system will notify the user by alarming or by sending SMS via GSM module for the extra or overuses of electricity consumption daily which will help the user to reduce electricity consumption. A GSM-based wireless transmission system is compatible with each entity's electronic power meter so that it has close access to power consumption. GSM approved energy meter to meter readings is shipped back to the charging purpose sporadically and these options are modernized in very central info. The complete monthly uses and charges are messaged back to the users.

Journal ArticleDOI
01 Sep 2019
TL;DR: The presented concept is dedicated especially to networks in the form of clusters (cooperatives) or energy clouds, whose application in LV networks will significantly simplify the users’ use of the power infrastructure, also in the aspect of financial settlements.
Abstract: Until now, electricity users are being connected to the LV networks by a physical electricity consumption point. In this point an electricity meter is assigned to each and every one user. A given user may use the flowing electricity only by the meter assigned to him at the consumer-specific point. This is a significant limitation in the non- restricted access to the power network. The Authors come with an idea to eliminate this restriction. The paper presents the concept of virtualization of a physical point of electric power consumption in a LV network. The proposed novel idea of using the power network will ensure the expected non-restricted access to any point of the power network for users. This seems particularly important nowadays and is dictated by the growing expectations of users’ mobility. The presented concept is dedicated especially to networks in the form of clusters (cooperatives) or energy clouds. Its application in LV networks will significantly simplify the users’ use of the power infrastructure, also in the aspect of financial settlements. This should also contribute to the rapid significant development of electro- mobility.

Proceedings ArticleDOI
27 Mar 2019
TL;DR: In this paper, the concept of smart energy meter using Raspberry Pi was introduced, which can reveal and examine the use of energy with the aid of the consumer so that the electricity dealer can plan energy with aid of accumulating records electricity.
Abstract: Due to the rapid increase in the human population and the dependence of human beings on electricity, the demand for electricity has increased, causing a deficit of electricity at peak times. We can see an individual standing in front of our home by the electric board at the end of each month, his work is to write the energy meter reading and convey the bills to the proprietor of the house. As per the reading recorded, we need to pay the bills. The principle downside of this machine is that a person should move via area and need to examine the meter of every residence and supply the invoices is the main drawback. Often mistakes like the quantity of greater payments or the notification from the electric panel even if the bills are paid are commonplace mistakes, and we can also reveal and examine the use of energy with the aid of the consumer so that the electricity dealer can plan energy with the aid of accumulating records electricity. We've come up with an concept with a view to cast off the human mistakes, even the errors might be overcome. In this paper, the concept of smart energy meter using RaspberryPi was introduced. We use Raspberry Pi since it is vitality productive, devours less vitality, is quicker and has two UARTs. The energy meters that are as of now introduced in our homes are not supplanted, yet a little change is made to the meters previously introduced and along these lines the current meters are changed into savvy meters. We can see the reading without much of a stretch access the meter by working through a site page we have planned. The present perusing with expense can be seen on the website page. The instrument can be activated and deactivated automatically.

Journal ArticleDOI
TL;DR: Experimental results show that the orthogonal pseudo random distorted dynamic test signal and the indirect likelihood function testing method are effective for dynamic error testing of electricity meters, meanwhile, the measurement uncertainty of theynamic error testing system is better than 0.042% (coverage factor k = 2).

Proceedings ArticleDOI
01 Mar 2019
TL;DR: The major advantage of this paper is when compared to the existing system, it detects the power theft and sends the information of the corresponding feeder using GSM module to electricity board directly without manually filing a complaint and also in case of power failure, the message is sent without any interruption as Arduino is facilitated with power backup.
Abstract: Currently energy theft has become a major problem in the developing countries like India, Pakistan, Srilanka, etc. The economic status of the country will be disturbed in a great manner if the electricity is illegally used. It is very difficult to verify theft occurred and solve it at individual level in the real time applications. Various kinds of energy theft comprised of meter tampering, bypassing the energy meter, direct hooking from line, etc. This paper proposes the detection of energy theft using Arduino and GSM module. LCD is provided to display the data of power usage and also the power being theft i.e., the difference between the consumers load and the theft load which is sent to the GSM module. Further this information is sent to the electricity board and also to the consumer as a message which embodies the distribution transformer details. The power is fed from the transformer to the Arduino which is being stepped down. The major advantage of this paper is when compared to the existing system, it detects the power theft and sends the information of the corresponding feeder using GSM module to electricity board directly without manually filing a complaint and also in case of power failure, the message is sent without any interruption as Arduino is facilitated with power backup.

Proceedings ArticleDOI
01 Mar 2019
TL;DR: This paper gives a review of the prediction and monitoring with respect to control utilization to real time scenario like Smart metering and home apparatus like home sight and sound substance over the power utilization grid.
Abstract: In Smart Grid, the Smart meters assume different role with smart capacities so as to satisfy the consumer’s needs. The Smart meter can gauge and impart detailed real time power utilization, empower remote continuous checking and control utilizations. The consumers are given ongoing valuing and analyses devoured data, with its technical information which is transmitted from the network, and furthermore give progressively itemized input on every machine to the consumer. This paper gives a review of the prediction and monitoring with respect to control utilization. It is focused to real time scenario like Smart metering and home apparatus like home sight and sound substance over the power utilization grid.

Patent
29 Mar 2019
TL;DR: In this article, a distribution equipment condition monitoring system based on the Internet of Things technology and an implementation method thereof, relates to the technical field of online monitoring of power equipment, and can simultaneously promote the technical fusion of an intelligent power grid, the internet of things and cloud computing, so that users can quickly develop and upgrade and maintain own distribution equipment.
Abstract: The invention discloses a distribution equipment condition monitoring system based on the Internet of Things technology and an implementation method thereof, relates to the technical field of online monitoring of power equipment, and can simultaneously promote the technical fusion of an intelligent power grid, the Internet of Things and cloud computing, so that users can quickly develop and upgrade and maintain own distribution equipment. A distribution equipment state monitoring cloud platform is designed according to a three-tier architecture system of the Internet of Things technology, andthe distribution equipment state monitoring cloud platform comprises a field sensing layer, a network communication layer and an application service layer; the tail end of the distribution equipment state monitoring cloud platform adopts an intelligent electric meter and a sensor to collect operation data and environmental data of the distribution equipment in real time, and data transmission is realized through a public GPRS wireless network; and a monitoring object of the distribution equipment state monitoring cloud platform comprises an outdoor switching station, a box-type transformer, aspecial transformer, a distribution ring main unit and a distribution terminal cabinet, and can provide advanced functions of online operation monitoring, asset management and big data analysis for the distribution equipment.

Proceedings ArticleDOI
01 Jan 2019
TL;DR: The developed energy meter can control the energy supply and usage of the consumers accurately based on load requirement and can calculate the cost of power consumption of convection grid and solar energy so the consumer will get a clear idea about the costs of their usage.
Abstract: This paper focuses on the development of a smart energy meter that can monitor the energy usage of different appliances. A smart energy meter is a digital electric meter that measures the electricity generation, consumption and provides other additional features such as advanced billing system and high accuracy which makes it more advantageous than the traditional energy meter. The proposed smart meter model is verified by designing an appropriate circuit and associated hardware. The hardware is designed using a microcontroller PIC16F877, current and voltage transformer, voltage regulator 7805, solar panel, solar charge controller and inverter. The developed energy meter can control the energy supply and usage of the consumers accurately based on load requirement. In addition, the meter can calculate the cost of power consumption of convection grid and solar energy. Thus, the consumer will get a clear idea about the costs of their usage. Hence, the proposed metering system is more advantageous than the traditional metering system which will reduce the manpower, cost and time.