Showing papers on "Electricity meter published in 2016"

Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey

Abstract: Smart meters have been deployed in many countries across the world since early 2000s. The smart meter as a key element for the smart grid is expected to provide economic, social, and environmental benefits for multiple stakeholders. There has been much debate over the real values of smart meters. One of the key factors that will determine the success of smart meters is smart meter data analytics, which deals with data acquisition, transmission, processing, and interpretation that bring benefits to all stakeholders. This paper presents a comprehensive survey of smart electricity meters and their utilization focusing on key aspects of the metering process, different stakeholder interests, and the technologies used to satisfy stakeholder interests. Furthermore, the paper highlights challenges as well as opportunities arising due to the advent of big data and the increasing popularity of cloud environments.

Feature extraction and filtering for household classification based on smart electricity meter data

Abstract: Knowing household properties, such as number of persons per apartment, age of housing, type of water heating, etc. enables energy consultants and utilities to develop targeted energy conservation services. Load profiles captured by smart power meters, can--besides several other applications--be used to reveal energy efficiency relevant household characteristics. The goal of this work is to develop methods of supervised machine learning that deduce properties of private dwellings using consumption time series recorded in 30-min intervals. The contribution of this paper to the state of the art is threefold: we quadruplicate the number of features that describe power consumption curves to preserve classification relevant structures, indicate dimensionality reduction techniques to reduce the large-scale input data to a set of few significant features and finally, we redefine classes for some properties. As a result, the classification accuracy is elevated up to 82 %, while the runtime complexity is significantly reduced. The classification quality that can be achieved by our eCLASS methodology renders personalized efficiency measures in large-scale practical settings possible.

Design and implementation of smart energy meter

Abstract: Electricity is one of the fundamental necessities of human beings, which is commonly used for domestic, industrial and agricultural purposes. Power theft is the biggest problem in recent days which causes lot of loss to electricity boards. In countries like India, these situations are more often. If we can prevent these thefts we can save lot of power. This is done using Smart Energy Meter (SEM). SEM is an electric device having energy meter chip for measuring the electric energy consumed and a wireless protocol for data communication. This paper presents a smart energy meter for an automatic metering and billing system. In this meter energy utilized and the corresponding amount will be displayed on the LCD continuously and communicated to the controlling base station. The feedback from the user helps in identifying the usages between authorized and unauthorized users which helps in controlling the power theft. Communication between user/household and substation is done using Zigbee. GSM network is used for sending SMS to the local authorities regarding the theft cases. This meter can work as either prepaid or post-paid meter. The proposed system replaces traditional meter reading methods and enables remote access of existing energy meter by the energy provider. Also they can monitor the meter readings regularly without the person visiting each house.

Nonintrusive load monitoring (NILM) using an Artificial Neural Network in embedded system with low sampling rate

Abstract: A Nonintrusive load monitoring (NILM) system is an energy demand monitoring and load identification system that only uses one instrument installed at main power distribution board. In this paper authors have used low sampling rate of monitored data to detect any change of power signal that obtained a 1 Hz sampling rate of active power from energy meter. Using Artificial Neural Network (ANN) for training steady-state real power and reactive power signatures. This paper point to four appliances including air conditioner television refrigerator and rice cooker. The results showed that in simulation test can disaggregation of appliances in correct detection rate 98% and in the installation test can disaggregation of appliances in correct detection rate 95%.

YoMo: the Arduino-based smart metering board

Abstract: Smart meters are an enabling technology for many smart grid applications. This paper introduces a design for a low-cost smart meter system as well as explaining fundamentals of smart metering. The smart meter platform, provided as open hardware, is designed with a connector interface compatible to the Arduino platform, thus opening the possibilities for smart meters with flexible hardware and computation features, starting from low-cost 8 bit micro controllers up to powerful single board computers that can run Linux. The metering platform features a current transformer which allows a non-intrusive installation of the current measurement unit. The suggested design can switch loads, offers a variable sampling frequency, and provides measurement data such as active power, reactive and apparent power. Results indicate that measurement accuracy and resolution of the proposed metering platform are sufficient for a range of different applications and loads from a few watts up to 5 kW.

Implementation of an energy monitoring and control device based on IoT

Abstract: Energy monitoring and conservation holds prime importance in today's world because of the imbalance between power generation and demand. The current scenario says that the power generated, which is primarily contributed by fossil fuels may get exhausted within the next 20 years. Currently, there are very accurate electronic energy monitoring systems available in the market. Most of these monitor the power consumed in a domestic household, in case of residential applications. Many a times, consumers are dissatisfied with the power bill as it does not show the power consumed at the device level. This paper presents the design and implementation of an energy meter using Arduino microcontroller which can be used to measure the power consumed by any individual electrical appliance. Internet of Things (IoT) is an emerging field and IoT based devices have created a revolution in electronics and IT. The main intention of the proposed energy meter is to monitor the power consumption at the device level, upload it to the server and establish remote control of any appliance. The energy monitoring system precisely calculates the power consumed by various electrical devices and displays it through a home energy monitoring website. The advantage of this device is that a user can understand the power consumed by any electrical appliance from the website and can take further steps to control them and thus help in energy conservation. Further on, the users can monitor the power consumption as well as the bill on daily basis.

Electricity information acquisition system based on dual-mode communication and method thereof

Abstract: The invention discloses an electricity information acquisition system based on dual-mode communication and a method thereof; the system includes a far-end master station, a concentrator and an intelligent electric energy meter; the far-end master station is used for acquisition and management of system electric power user electricity information through various wired or wireless communication channels, and is used for data exchange with the concentrator through a remote communication module; the concentrator is provided with a dual-mode communication module, and is used for acquiring intelligent electric energy meter data information and operation states through the dual-mode communication module, achieving local acquisition and monitoring of the electricity information, and uploading the local electric meter data information to the far-end master station through the remote communication module; the intelligent electric energy meter is provided with a dual-mode communication module and is responsible for electricity information measurement, data processing, real-time monitoring, automatic control and information exchange. The communication problem generated when a fault occurs due to single use of a micro power wireless or power line is avoided, the consumed power of a dual-mode communication chip is reduced, and the reliability of the communication is ensured.

Charging Ahead: Prepaid Electricity Metering in South Africa

Abstract: The standard approach to recovering the cost of electricity provision is to bill customers monthly for past consumption. If unable to pay, customers face disconnection, the utility loses revenue, and the service provision model is undermined. A possible solution to this problem is prepaid metering, in which customers buy electricity upfront and use it until the prepaid amount is consumed. We use data from Cape Town, South Africa to examine the effects of prepaid electricity metering on residential consumption and returns to the electric utility. Over 4,000 customers on monthly billing were involuntarily assigned to receive a prepaid electricity meter, with exogenous variation in the timing of the meter replacement. Electricity use falls by about 13 percent as a result of the switch, a decrease that persists for the following year. This creates a tradeoff for the utility: revenue from consumption falls but more of it is recovered on time and at a lower cost. The benefits to the electric utility outweigh the costs, on average, though results are very heterogeneous. Poorer customers and those with a history of delinquent payment behavior show the greatest improvement in profitability when switched to a prepaid meter. These findings point to an important role for metering technologies in expanding energy access for the poor.

Automatic reading of domestic electric meter: an intelligent device based on image processing and ZigBee/Ethernet communication

Abstract: In undeveloped areas around the world, many traditional meters need to be upgraded. Compared with replacing the mounted meters with high-cost modern ones, it is a better choice to upgrade them with new technologies. In this paper, an automatic reading system of the traditional household meter is designed on the basis of image processing and advanced DSP system. To identify the meter reading accurately, a regional average method is proposed to implement the image-scaling in order to avoid the distortion. In the image-filtering process, we raise an average-product method which is verified to attain good effects. For image segmentation, a new union thresholding method, based on the grayscale transformation, is proposed to enhance the adaptability of uneven luminance. Iterative rejection is applied to decrease the errors during character localization. Then, a training sample library with 1,400 characters is designed and collected for the training of the BP neural network. For data transmission, NAT technology is introduced to build data connection between the remote server and the data collectors working in the local area network. According to the field test, the proposed system can obtain a recognition rate of 99.7 % under normal environment, with the identification period below 2 s, while the resulting data can be transferred reliably through 1---3 walls in ordinary buildings.

IoT Based Smart Energy Meter

Abstract: It is a proposed system designed to eliminate human involvement in the electricity system. IOT (Internet of things) is the network of physical things with electronics software, sensors, and connectivity to enable objects to collect and exchange data. IOT based automatic meter reading is the technology of automatically collecting data energy meter and transferring data to the server for billing process and if there is any tempering then also detectable. The internet connection to meter collect the data and display data on the LCD by which we can read and understand the things that are going on the system. Current drawn also calculated by the current transformer that connected in series with the load will be shown on the LCD. This data transfer to server unit at MSEB. MSEB is not a technical word but it is electricity distribution board “Maharashtra State Electricity Board”. The data is received by the internet and whenever a key is pressed microcontroller send SMS through the internet to the transmitter to get the reading of the meter. It is difficult to manual reading and calculating bill of individually. This will help for the proper and accurate reading of billing process. By taking all these features that can be done by IOT based smart energy meter easily.

Online power estimation of graphics processing units

Abstract: Accurate power estimation at runtime is essential for the efficient functioning of a power management system. While years of research have yielded accurate power models for the online prediction of instantaneous power for CPUs, such power models for graphics processing units (GPUs) are lacking. GPUs rely on low-resolution power meters that only nominally support basic power management. To address this, we propose an instantaneous power model, and in turn, a power estimator, that uses performance counters in a novel way so as to deliver accurate power estimation at runtime. Our power estimator runs on two real NVIDIA GPUs to show that accurate runtime estimation is possible without the need for the high-fidelity details that are assumed on simulation-based power models. To construct our power model, we first use correlation analysis to identify a concise set of performance counters that work well despite GPU device limitations. Next, we explore several statistical regression techniques and identify the best one. Then, to improve the prediction accuracy, we propose a novel application-dependent modeling technique, where the model is constructed online at runtime, based on the readings from a low-resolution, built-in GPU power meter. Our quantitative results show that a multi-linear model, which produces a mean absolute error of 6%, works the best in practice. An application-specific quadratic model reduces the error to nearly 1%. We show that this model can be constructed with low overhead and high accuracy at runtime. To the best of our knowledge, this is the first work attempting to model the instantaneous power of a real GPU system, earlier related work focused on average power.

Load identification system for household intelligent electric meter based on similarity algorithm and load identification method thereof

Abstract: The invention discloses a load system for a household intelligent electric meter based on a similarity algorithm, which comprises the household intelligent electric meter, a steady-state power detection module, a transient-state power detection module, a comparator, a central processing unit, a communication module, a database and a server The invention also discloses a load identification method for the load identification system for the household intelligent electric meter based on the similarity algorithm The method is technically characterized in that steady-state and transient-state power features in the case of normal work of the household appliance are taken as feature parameters; through comparing and measuring the similarity between the feature parameters and a household appliance load feature parameter database, the type and the working state of the power load are determined; and then, through matching switching events, the corresponding power consumption of each household appliance is obtained Compared with the prior art, the purpose of identifying typical resistive and non-resistive appliances in the home in no need of a sample data training or learning process in advance is realized, a power list like a telephone list is provided for the user, and the user can adjust and plan use of the household appliances for energy conservation

Energy monitoring and managing for electromobility purposes

Abstract: This paper describes smart energy meter design and implementation focused on using in charging stations (stands) for electric vehicle (follows as EV) charging support and possible embedding into current smart building technology. In this article there are included results of research of commercial devices available in Czech republic for energy measuring for buildings as well as analysis of energy meter for given purposes. For example in described module there was required measurement of voltage, electric current and frequency of power network. Finally there was designed a communication module with common interface to energy meter for standard communication support between charging station and electric car. After integration into smart buildings (home automation, parking houses) there are pros and cons of such solution mentioned1,2.

Remote reading method based on electric low-voltage meter reading system

Abstract: The invention provides a remote reading method based on an electric low-voltage meter reading system. The remote reading method comprises the steps that S1, a channel converter starts wireless monitoring; S2, a concentrator sends a meter reading frame; S3, whether the meter reading frame is a standard DLT645 or not is judged, if so, the step S4 is executed, and if not, the step S5 is executed; S4, the meter reading frame is directly forwarded to an electricity meter through RS-485 and the step S9 is executed; S5, the meter reading frame is converted to a standard T188 protocol, a meter address is extracted, and the step S6 is executed; S6, whether the meter address is registered or not is judged, if so, the step S7 is executed, and if not, the step S8 is executed; S7, the meter address is forwarded to a water meter, a gas meter or a heat meter through a wireless interface, and the step S9 is executed; S8, the meter address is forwarded to the water meter, the gas meter or the heat meter through an M-BUS interface, and the step S9 is executed; S9, waiting is executed for 2 seconds, a response message is received, and the step S10 is executed; S10, whether response is produced or not is judged, if not, the step S2 is repeated, and if so, the step S11 is executed; S11, whether the protocol of the response message is the standard T188 protocol or not is judged, if so, the step S12 is executed, and if not, the step S13 is executed; S12, the protocol of the response message is converted to an extended DLT645 protocol, and the step S13 is executed; S13, the protocol of the response message is directly forwarded to a corresponding communication interface.

Design of Embedded based automated meter reading system for real time processing

Abstract: A new embedded technology based approach for automated energy meter reading system is proposed which enables the meter readings to be updated onto the web server automatically on a regular interval basis and sends bills to customers each month. It provides a facility of recharging the energy meters remotely. Customers can pay bills of postpaid meters and can recharge the prepaid meters by sending a message to the service provider. The meter readings are sent to nearby located central station (gateway) using RF link and from there to web server using GSM. It also provides the facility of electricity tamper detection. The wireless controlling of meter reading system is mainly done using ARM 7 microcontroller. Embedded C is used for ARM coding and web server is designed using HTML. Database is created using MySQL.

VANET based electric automobile charge scheduling system and method

Abstract: The invention discloses a VANET (Vehicular Ad-hoc Network) based electric automobile charge scheduling system and method. The system includes an electric automobile intelligent electric meter system, a road side unit RSU, a server and a charge station intelligent electric meter system. The electric automobile intelligent electric meter system includes an intelligent electric meter, a vehicle GPS positioning device, an application unit AU and an onboard unit OBU. The charge station intelligent electric meter system includes an intelligent electric meter and a charge station control and management unit. The method includes that charge stations make charge prices according to geographic locations and lining conditions; a server calculates and obtains an optimal charge station strategy according to real time dynamic information of the charge stations and electric automobiles; and a user determines whether to charge or not according to the received optical strategy and stands in a line in an interface of a target charge station through an application unit.

Interconnect socket adapter for adapting one or more power sources and power sinks

Abstract: Interconnection meter socket adapters are provided. An interconnection meter socket adapter comprises a housing enclosing a set of electrical connections. The interconnection meter socket adapter may be configured to be coupled to a standard distribution panel and a standard electric meter, thereby establishing connections between a distribution panel and a user such that electrical power may be delivered to the user while an electrical meter measures the power consumption of the user. A power regulation module is disposed between the interconnection meter socket adapter, and configured to selectively connect one or more energy sources or energy sinks.

Centralized Automatic Meter Reading System Based on GPRS Technology

Abstract: With the continuous reform and innovation of science and technology, as well as the implementation of the comprehensive construction of smart grid strategic objectives, so that the development of the power industry has been a qualitative leap. Under the support of GPRS technology of mobile communication company in our country, the electricity meter reading system breaks the disadvantages of the traditional manual meter reading method, which saves a lot of labor cost and improves the quality and efficiency of the power meter reading, the centralized meter reading system has a series of advantages, such as high speed, high degree of automation and high accuracy, the electric power enterprise fully realized the importance of the centralized meter reading system under the GPRS technology. This paper will further analyze and discuss the centralized meter reading system based on GPRS technology.

Electric energy information acquisition and monitor method on the basis of internet of things

Abstract: The invention discloses an electric energy information acquisition and monitor method on the basis of internet of things and is applied in a system formed by a main station, a data concentrator and an intelligent electric meter The data concentrator uses polling method to acquire real time data; the data concentrator uses event triggering method to acquire event data When an event flag variable is detected as 1 in a status confirmation polling response message, the data concentrator will command the intelligent electric meter to send failure occurrence/ending event data messages; when the fault occurrence event of the intelligent electric meter is detected, the data concentrator will give the alarm to the main station; when the fault ending event is detected, the data concentrator will command the intelligent electric meter to send a fault event record data I/O polling response message According to the method, polling is performed on data of different types at different time periods, and event triggering is adopted to transmit event data, and therefore, the communication efficiency is increased, the communication real-time performance is enhanced; the method has large application prospect and great usage value

GPRS enabled smart energy meter with in-home display and application of time of use pricing

Abstract: With increasing population, the demand for power is increasing at an exponential rate. Power theft, unpaid bills, poor usage of energy leave the energy market crippled. The rise in use of electronics good due to their cheap cost has distorted power quality. Hence to increase energy consumption efficiency, monitor power quality, closely monitor the energy usage pattern of customers many utilities have employed smart energy meters. The primary goal is to provide a bi — directional communication between customer and the utility. Considering the juvenile stage of employing smart energy meters in India, this paper presents a Global Packet for Radio Service (GPRS) based smart energy meter with in home display. This meter can take real time voltage, current, and power factor readings. The meter calculate the energy consumed and is stored in cloud using GPRS. Graphical programming of LabVIEW is used to develop the In Home Display (IHD). The IHD functions as home energy management system successfully displaying the energy demand curve, harmonic content, load schedule, and current price of energy usage. In addition, a hypothetical Time Of Use (TOU) pricing is developed and analyze the results. Also, a methodology of intelligent scheduling of load appliances in correspondence to TOU have been developed.

Residential power monitoring method and system based on power line communication

Abstract: The invention discloses a residential power monitoring method and system based on power line communication. The method comprises that all household electrical appliances and an intelligent electric meter in a house are connected with a central controller to complete networking; the central controller collects power utilization data of each household electric appliance, stores the data in a database, and displays the data via reports; and the central controller detects whether abnormity occurs the household electrical appliances, and if yes, warming is sent to a user terminal. According to the invention, all the household electrical appliances are connected to the residential intelligent network, simple interaction protocols are combined with instant messaging technology to monitor and analyze the appliances in the network as well as the power utilization condition of the appliances, early warning is given to the appliance that is connected to the network newly, and alarming is raised against abnormal power utilization condition.

Automated energy meter using WiFi enabled raspberry Pi

Abstract: India is presently witnessing substantial rise in investments especially industrial and infrastructural areas. This growth is further being augmented by the increase in power generation capacity and reliable power distribution and measurement network. In some developed countries like the United States smart meters are already deployed. Although some companies have introduced smart meters, many households have conventional meters. This provides a chance for companies as well as engineers to develop innovative metering solutions. The proposed system can be incorporated to the installed energy meters without much effort. It consists of a light sensor module which detects the pulses given out by the meter and the python program developed computes the energy consumed by the load and sends these values monthly to the Google spreadsheets via Drive API. The users can access the information on a webpage as well as an Android App. In addition to this, they also receive an SMS with the help of a GSM module interfaced to the Raspberry Pi.

Automatic network device electrical phase identification

Abstract: Techniques detect an electrical phase used by electrical network devices (e.g., a transformer, electrical meter, etc.). Voltage measurement data is obtained, such as from electrical meters. The voltage measurement data may be associated with a timestamp, and may be made at intervals over a period of time. Voltage changes may be calculated using the voltage measurement data. In an example, the voltage change is a difference determined between sequential voltage measurements. In some instances, voltage changes data is removed if it exceeds a threshold. An initial classification of network devices (e.g., randomly or by assumed electrical phase) is determined. A clustering technique (e.g., k-means) is applied, wherein the classification is updated in a manner that segregates the network devices according to actual electrical phase.

Intelligent electricity charge management system

Abstract: The invention discloses an electricity charge management system.The system comprises an intelligent electric meter, a wireless sensor network, a charge calculating center and an intelligent terminal; the intelligent electric meter is used for conducting electricity consumption statistics on switched-in electric appliance, is in communication with the charge calculating center, uploads electricity consumption data, controls powering-on and powering-off according to a command of the charge calculating center and displays such information as electricity consumption and the balance of electricity charge of a user; the wireless sensor network is connected with all the electric appliance or any other electricity using unit; the charge calculating center is used for receiving electricity consumption data of the intelligent electric meter, calculating charge according to the charging rule, releasing the command to the intelligent electric meter according to the charging condition and storing historical electricity consumption and charging data.By means of the system, electricity charge can be paid, in addition, the payment result as well as whether electricity is purchased successfully or not can be inquired immediately and conveniently, the user is supported in inquiring electricity consumption information and the charge payment history in an intelligentized mode, the user can flexibly control work of the electric appliance in combination with the electricity consumption condition, use of the electric appliance is optimized, and environment friendliness and energy conservation are achieved.

Energy Meter tampering: Major cause of non-technical losses in Indian distribution sector

Abstract: Power distribution network of the developing nation like India is facing continuous financial crises due to lack of revenue generations. Inspite of many programmes launched by central and state governments to improve efficiency of distribution sector the progress is not upto the mark. Power theft through Energy Meter tampering and manipulation with the meter reading is one of the major causes of revenue losses. Replacement of old Electromechnical meters by Electronic energy meters with anti-tamper features has helped utilities to find out the meter tampering attempts but still there is a long way to go as people are finding new ways to tamper meters. The paper discusses common methods of meter tampering in Indian gray market and features of smart meters useful for minimizing electricity theft.

Collecting system for collecting water, gas, heat and electricity meter data

Abstract: The invention discloses a collecting system for collecting water, gas, heat and electricity meter data The collecting system comprises a system main station, a concentrator, a collector, a water meter, an electricity meter, a heat meter and a gas meter, wherein the concentrator is in transmission connection with the system main station; the collector is in transmission connection with the concentrator; the water meter, the electricity meter, the heat meter and the gas meter are in transmission connection with the collector; the collector comprises a collection unit, a conversion unit and a first transmission unit; the concentrator comprises a second transmission unit used for transmitting the data of the water meter, the electricity meter, the heat meter and the gas meter from the collector to the system main station; the system main station comprises an analysis unit used for analyzing the received data of the water meter, the electricity meter, the heat meter and the gas meter into an original data format The transmission format of the data of the water meter, the gas meter and the heat meter is converted into the data transmission format matched with the electricity meter, so that the data of the water meter, the gas meter and the heat meter can be merged into an electricity meter collection system for concentrated collection; the problem that the data of the water meter, the electricity meter, the heat meter and the gas meter cannot be collected in a unified way is solved

Modular power metering system

Abstract: A power meter includes a voltage sensor input port configured to receive one of single phase AC voltage and three phase AC voltage values. The power meter further includes a current sensor input port configured to receive one of single phase AC current and three phase AC current values. The power meter further includes a bus connector adapted to be coupled to a data bus. The power meter further includes a module connector adapted to be coupled to a module bus. The power meter further includes a timer for producing a digitizing clock. The power meter further includes a microprocessor.

Device and method for synchronously testing pneumatic efficiency and power generation efficiency of wind turbine

Abstract: The invention provides a device and method for synchronously testing pneumatic efficiency and power generation efficiency of a wind turbine. A base of the device is fixed in a wind tunnel test section, a power generator and a torque rotational speed meter are fixedly installed on the base, a first transmission shaft is connected with one end of the torque rotational speed meter, a wind wheel is fixedly arranged on the first transmission shaft, and the wind wheel is located at the upstream of the inflow direction of the wind tunnel test section; a second transmission shaft is connected to the other end of the torque rotational speed meter and fixedly connected with a motor shaft of the power generator; a power meter is connected with the power generator; the data output end of the torque rotational speed meter and the data output end of the power meter are connected with a computer; a sliding rheostat is connected between the power meter and the power generator, the power generator, the power meter and the sliding rheostat form a closed circuit, and the sliding rheostat serves as the load of the power generator. The method includes the steps that the wind wheel is driven to rotate at set wind speed; shaft torque and rotation speed of the wind wheel and output power of the power generator are measured; the measured data is transmitted into the computer to calculate pneumatic efficiency of the wind wheel and power generation efficiency of the whole wind turbine and the power generator.