Showing papers on "Electricity meter published in 2018"

IOT Based Smart Energy Meter for Efficient Energy Utilization in Smart Grid

Abstract: Efficient energy utilization plays a very vital role for the development of smart grid in power system. So, proper monitoring and controlling of energy consumption is a chief priority of the smart grid. The existing energy meter system has many problems associated to it and one of the key problem is there is no full duplex communication. To solve this problem, a smart energy meter is proposed based on Internet of Things (loT). The proposed smart energy meter controls and calculates the energy consumption using ESP 8266 12E, a Wi-Fi module and uploads it to the cloud from where the consumer or producer can view the reading. Therefore, energy analyzation by the consumer becomes much easier and controllable. This system also helps in detecting power theft. Thus, this smart meter helps in home automation using IoT and enabling wireless communication which is a great step towards Digital India.

Smart Energy Meter Surveillance Using IoT

Abstract: Electricity plays a cardinal role in day to day life. The electrical energy consumption in India is the third biggest after China and USA with 5.5% global share in 2016. The per person energy use rate in India is closer to 0.7 KW. India's share with global energy demand will rise to 9% by 2035. Internet of Things (IoT) is an emerging field and IoT based devices have created a revolution in electronics and IT. The foremost objective of this project is to create awareness about energy consumption and efficient use of home appliances for energy savings. Due to manual work, our existing electricity billing system has major drawbacks. This system gives the information on meter reading, power cut and the alert systems for producing an alarm when energy consumption exceeds beyond the specified limit using IoT. This idea is being implemented to reduce the human dependency to collect the monthly reading and minimize the technical problems regarding billing process. This project extends the design and implementation of an energy monitoring system with the pre-intimation of power agenda using Arduino micro controller and a GSM (Global System for Mobile Communication) module. The advantage of this system is that a user can understand the power consumed by the electrical appliances on the daily basis and can take further steps to control them and thus help in energy conservation. From the electricity board section, the information regarding the bill amount, payment and the pre-planned power shut down details are communicated to the consumer. If the customer does not pay the bill in time, the user is informed through a message. If still the customer does not pay the bill, then as per designated consideration, one alert message will be sent then automatically power connection is disconnected from the remote server. In the already existing smart energy meter, it shows the energy consumed by the appliances from the date of installation of the energy meter and its corresponding rupees. In this proposed energy meter, the meter gives the energy consumed on daily basis, its corresponding rupees, billing details and payment using IoT. Additionally, it has the main objective of giving the preintimation of power schedule and an alert system for producing an alarm when the energy consumption exceeds beyond the certain limit. It also has the facility of terminating the power supply when the residents are out of station to minimize the wastage of energy. This system not only reduces the power cut issues and the labor cost for noticing the residential energy consumption in regular intervals but also increases the energy conservation with the help of alarm systems and the energy meter accuracy by reducing the billing error and the cost of maintenance.

New reward and penalty scheme for electric distribution utilities employing load-based reliability indices

Abstract: Electric distribution utilities are required to continuously deliver reliable electric power to their customers. Regulatory utility commissions often practise reward and penalty schemes to regulate reliability performance of utility companies annually with respect to a desired performance targets. However, the conventional regulation procedures are commonly found based on the customer-based standard reliability indices, which are not able to discern the service characteristics behind the electric meters and, hence, fail to holistically characterise the actual impact of electricity interruption. This study proposes a new method to evaluate the load-based reliability indices in power distribution systems using advanced metering infrastructure data. Furthermore, the authors introduce a reward/penalty regulation scheme for utility regulators to provide a reliability oversight using the proposed load-based reliability metrics. The new load-based reliability metric and the reward/penalty scheme proposed bring about superior advantages as the distribution grids become further complex with a high penetration of distributed energy resources and enabled microgrid flexibilities. Numerical analyses on different settings with and without microgrid considerations reveal the applicability and effectiveness of the proposed approach in real-world scenarios.

IoT based smart energy meter

Abstract: Energy meter reading is a tedious and an expensive affair. The meter reader has to go and take the reading manually to issue the bill, which will later be entered into the software to automate the billing and payment system. This paper proposes a new network communication system for energy meter reading by internet communication technology and software system along with the existing meters. An IoT modem will be integrated with electronic energy meter to read the usage of electricity and uploaded on server or website. Energy meter delivers the reading details and it is uploaded to the website instantly. This communication system is further useful for electricity regional/sub-regional office, who can monitor the power consumption, and they cut the power supply for any specific house, who had not paid the electric bill using the EB Office Login. Moreover, this power cut control system is done by using the same website which is used for monitoring. In this project each customer is differentiated using address or ID, this ID is used for identification by the consumer and as well as my office to monitor the reading and payment details. The user can also monitor their usage from anywhere using the user login. An additional feature is provided to the user for controlling the power supply during in terms of emergency case.

An IoT Based Smart Energy Management System

Abstract: Physical energy meter reading is an outdated concept, it is inefficient, prone to errors and leads to a lot of wastage of manpower and is a burden on the consumers since the energy companies pass on the cost of physically reading the meters to the consumers. Smart energy meters solve the above-mentioned problems to a great extent but replacing the older energy meters is a very expensive and a humongous task. This paper introduces an IoT based smart energy meter using the raspberry pi devices as a solution to the aforementioned issue. A small modification to the already installed old meters can make them act as prepaid smart meters. So, the need to replace the old energy meter does not arise. These meters can be easily accessed through customized web pages, smart mobile applications and relevant notifications can be sent to the customers using SMS service. These meters can be turned ON and OFF automatically once a user exhausts its prepaid threshold value or through the smart App. Consumers are notified through SMS when the threshold set value is about to breach.

Design and Implementation of IoT Based Smart Energy Meter

Abstract: Modern day smart grid technology relies heavily on communication networks for two-way communication between load, generation, transmission, and control centre. As a part of the smart grid, smart meters use advanced metering infrastructures (AMI) that are widely distributed and interconnected to the communication network. Such integrated infrastructure has made the power network easy to diagnose and control. But unfortunately, this has made power system networks vulnerable to various forms cyber-attacks that have caused major concerns to power researchers in recent times. As a first step towards such cyber-attack related researches and searching for possible mitigation techniques, it is necessary that a smart meter be developed that has the feature of network integration. The present contribution reports the design, fabrication, and operation of an Internet of Things (IoT) based smart meter using Arduino to serve as an integral part of a smart grid system

Revealing Household Characteristics from Electricity Meter Data with Grade Analysis and Machine Learning Algorithms

Abstract: In this article, the Grade Correspondence Analysis (GCA) with posterior clustering and visualization is introduced and applied to extract important features to reveal households’ characteristics based on electricity usage data. The main goal of the analysis is to automatically extract, in a non-intrusive way, number of socio-economic household properties including family type, age of inhabitants, employment type, house type, and number of bedrooms. The knowledge of specific properties enables energy utilities to develop targeted energy conservation tariffs and to assure balanced operation management. In particular, classification of the households based on the electricity usage delivers value added information to allow accurate demand planning with the goal to enhance the overall efficiency of the network. The approach was evaluated by analyzing smart meter data collected from 4182 households in Ireland over a period of 1.5 years. The analysis outcome shows that revealing characteristics from smart meter data is feasible, and the proposed machine learning methods were yielding for an accuracy of approx. 90% and Area Under Receiver Operating Curve (AUC) of 0.82.

Energy Cost Optimization and DER Scheduling for Unified Energy Management System of Residential Neighborhood

Abstract: Consumers with distributed energy resources (DERs) and intelligent building energy management systems (BEMS) can achieve significant electricity bill reduction by participating in demand response (DR) programs. DR encourages the active consumer to alter their demand profile in response to time-varying electricity tariff or economic incentives. However, large-scale adoption of such DR schemes and BEMS in neighborhood area can lead to rebound peaks when electricity is cheaper. This paper proposes a unified approach to energy management system for a residential neighborhood that mitigates the demand peaks of the neighborhood and provides electricity bill reduction to the participating consumers. An optimization model has been developed that minimizes the energy cost of the participating consumers while reducing aggregated demand peaks in the neighborhood by scheduling the charge-discharge operation of residential storage units and energy sharing among neighbors. The effectiveness of the proposed neighborhood energy management system (NEMS) model is evaluated via a case study for a residential neighborhood in Sydney, Australia with actual electricity meter data and time of use (TOU) tariff structure for the neighborhood. Simulation results indicate the efficacy of the proposed NEMS framework and optimization model in terms of electricity bill reduction and demand peaks mitigation.

Intelligent electric meter

Abstract: The invention discloses an intelligent electric meter (100), and the electric meter (100) comprises a central processor (101); a metering module (102) which is connected with the central processor (101) and is used for the bidirectional metering of the electric quantity; a blockchain module (103) which carries out the data interaction with the central processor (101), and is used for achieving thepoint-to-point power transaction between nodes in a blockchain network in a region and the storage of he distributed electric quantity metering and transaction data The electric meter provided by the invention achieves the power transaction and recording through the blockchain module (103), and enables the final electric quantity information and point-to-point power transaction information to bestored in the blockchain network in a distributed and non-tampered manner The electric meter achieves the distributed power generation and storage and the bidirectional metering of the power generation quantity and power utilization quantity of a power user, and achieves the metering, transaction and recording of the electric quantity of a distributed intelligent microgrid A distributed power generation side and power utilization side serve as the basis of the transaction and charging through the intelligent electric meter, thereby enabling the microgrid to be more economically feasible

An IoT-Based Remote Monitoring System for Electrical Power Consumption via Web-Application

Abstract: Electricity is a fundamental need of the human being that is commonly used for domestic, industrial and agricultural purposes. In this sense, the waste of energy generates millionaire losses for the countries. Technological solutions such as the Internet of Things (IoT) allows connecting the physical with the digital world in order to optimize resources and in this particular case, manage and/or monitor the energy consumption. In addition, the advance of micro and nanoelectronics has allowed the development of communication modules such as the XBee that allows the implementation of a wireless sensor network quickly and efficiently with minimal energy consumption being widely used for monitoring and control tasks. The presented prototype takes advantage of the previously mentioned advantages by developing a hardware and software solution. It allows remote monitoring of electricity consumption in a home through a scalable and modular platform using XBee technology and a customized protocol for data communication between the four modules that make up the system. Results are presented that demonstrate the accuracy of the prototype compared to the readings obtained with a conventional electricity meter.

Real Time Monitoring of AMR Enabled Energy Meter for AMI in Smart City - An IoT Application

Abstract: Smart meters are promising towards increase in energy efficiency, but their installation needs significant infrastructure change, ranging from installation of new hardware units at individual households – a time consuming task, to creation of data servers to store the data available from these smart meters. The cost and time issue involved in this task has motivated us to devise a cost effective and portable hardware, capable of adding functionality of smart meters into traditional meters. This paper describes the method for measuring active power registered by traditional meters in real time. Considering the worst case as, cases when traditional meter registers less than 10 watt, the proposed system can provide its users with active power consumption data in 101.25 seconds as against monthly billing cycle of traditional meters. The proposed system uses LDR for sensing the frequency of LED present on the meter, which blinks at a frequency proportional to the active power registered by traditional meters. It also uses ESP8266-12e to compute the active power of load connected across traditional meter, from sensed value of blinking frequency of LED and store it in an online data server.

Block chain electricity transaction peak shaving and frequency modulating system based on distributed electric storage facilities

Abstract: The invention provides a block chain electricity transaction peak shaving and frequency modulating system based on distributed electric storage facilities. The block chain electricity transaction peakshaving and frequency modulating system comprises a household block chain electricity meter (1), distributed electric storage facilities (2) and a block chain control cloud platform (3) with a charge-discharge peak shaving and frequency modulating control function. The charge wall and storage battery charge-discharge system is arranged inside a regional power grid (4), the block chain control cloud platform (3) is used, intelligent control is carried out on the charge-discharge system in combination with an intelligent bidirectional electricity meter of a belt block chain module, a great dealof electricity is stored when the price for electricity is at a low ebb at night, and electricity is sold at high price at peaks demand for electricity in daytime, so that the design capacity of a transmission and distribution network can be greatly reduced, and the difference between peak and valley of the power grid can be optimally and flexibly balanced; and moreover, auxiliary service such aspower grid peak shaving and frequency modulation based on storage batteries can be carried out by using an intelligent contract of block chains.

Characterization of Narrowband Noise and Channel Capacity for Powerline Communication in France

Abstract: Narrowband powerline communication (NB-PLC) systems represent a key step for the real development of smart grids’ applications in the medium voltage (MV) and low voltage (LV) networks. This article sums up the results of a complete experimental measurement campaign aimed at investigating the low voltage NB-PLC channel in the frequency range from 9 to 500 kHz in various sites (i.e., rural, urban etc.) located in France. The noise features in time-frequency representation are studied at five different sites between the transformer substation and the smart electricity meter. The main contribution of this study consists in estimating the theoretical channel capacity which constitutes a major interest for the users and actors of the electrical system. The channel capacity calculation shows reliable results in the US Federal Communications Commission (FCC) band (a few Mbits/s). The quality of the communication in the FCC band enables to integrate new smart grids’ applications and services based on the existing NB-PLC communication for advanced metering infrastructure (AMI).

Energy Internet Router

Abstract: The invention discloses an energy Internet router (100). The energy Internet router comprises a control module (101) used for energy exchange between a plurality of distributed energy stations and distributed energy users, routing management and point-to-point electric power transaction control in the same local area network; an acquisition module (102) connected with the control module (101) andused for acquisition of electric quantity measurement data of an electric meter (200); and a blockchain module (103) used for data exchange with the control module (101), realization of point-to-pointelectric power transaction between nodes in a blockchain network in an area, and distributed electric quantity measurement and storage of transaction data. The energy Internet router and the electricmeter are used in a combined manner, the electric power transaction and recording can be performed through the blockchain module, final electric quantity information and point-to-point electric powertransaction information are both stored in the blockchain network in a distributed manner and cannot be tampered, and measurement, transaction and recording of the electric quantity of distributed intelligent micro-power-grids can be realized.

Application of a Deep Learning Generative Model to Load Disaggregation for Industrial Machinery Power Consumption Monitoring

Abstract: Non-Intrusive Load Monitoring (NILM) or Load Disaggregation is a set of techniques to identify and monitor loads from readings of aggregated signals from a unique electricity meter on a building. This paper presents a new dataset of industrial electric energy consumption and compares Factorial Hidden Markov Model and a Deep Learning-based model to disaggregate six different industrial machines from a site meter on a factory in Brazil. The Deep Learning-based model reduced normalized disaggregation error (NDE) and signal aggregated error (SAE) in comparison with the FHMM models for the same appliances. It also increased percentage of time during which the machine is correctly classified as turned ON or OFF.

Cellular Network Coverage Analysis and Optimization in Challenging Smart Grid Environments

Abstract: Smart grid services require reliable and efficient communication, which can be provided by modern cellular networks. However, smart grid components are often installed in environments that are challenging for radio networks, like energy meters in basements. While grid operators need to know the availability of cellular networks before installing components, current methods for evaluating mobile network coverage in such environment usually require lengthy tests or expensive and complicated measurement equipment. In this paper, we introduce the Mobile Network Analyzer (MNA), which is an easy to use device for fast coverage analyses and network quality assessment. It can be used by grid operators to check the network coverage before deploying smart grid components. We show the applicability of the MNA in an exemplary case study on the cellular network coverage at electricity meter cabinets at 168 locations and in a six month long-term field campaign in a wind farm. We determined that the communication availability can be improved by up to 29 % by leveraging the networks of multiple cellular network operators with the help of global SIM cards or national roaming. Additionally, we examined specific smart meter gateway installations, focusing on deep indoor coverage.

Integrated Smart Meter System equipped Software Platform

Abstract: The present invention relates to an integrated smart metering system employing an application receiving energy data from an energy meter such as water supply, gas, hot water, heat or the like through near-field wired and wireless communication direct current-power line communication (DC-PLC), Zigbee, Bluetooth or the like and managing, calculating and accumulating the energy data, a communication means (PLC, Ethernet, Wi-Fi, 3G LTE, WI_SUN, NB-IoT, LoRA or the like) transceiving all kinds of data and instructions with a remote server, and also, a software platform enabling the execution of each application. According to the present invention, the installation, removal, update and the like of various applications are convenient and metering functions can be stabilized and diversified through the binarization of an application operation part and a metering part.

A battery-free non-intrusive power meter for low-cost energy monitoring

Abstract: As highlighted by the Intergovernmental Panel for Climate Change (IPCC), providing clean, reliable and affordable energy for people everywhere will require the reduction of gas emission in the energy domain by 90%, compared to 2010 emissions, between the years 2040 and 2070. In addition, to a change in choices, preferences and behavior of individuals and households in energy demand and consumption, to achieve a successful transition to a more sustainable energy system, the adoption of new metering solutions to foster a wide range of sustainable actions by diverse people across the globe will be required. In this paper, we discuss the development of an ultra-low-power energy meter exploiting a single current transformer (CT) sensor for harvesting energy from the same load under monitoring. Starting from the hypothesis that the node activation rate increases monotonically with the primary load draw, and assuming that the node consumes fixed energy quanta during each activation, it is possible to infer the load power from the interval between activations. With this approach, we can provide a device that lowers maintenance cost related to installation and battery replacement; does not need to deal with high main voltage; and does not introduce any additional energy consumption overhead as it draws zero-power under zero-load condition. Energy budget is guaranteed also thanks to the use of a LoRa radio for data transmission.

Design of Printed Monopole Antenna for Wireless Energy Meter and Smart Applications

Abstract: European smart energy meter applications operate over a smart grid network. These applications operate over ISM frequency bands. The proposed dual-band printed monopole antenna provides a solution to smart energy meter applications. The surface dimension of the planar monopole antenna is 45×17 mm2. The antenna has strips fabricated on a standard cost-effective FR-4 substrate of thickness 1.6 mm for achieving dual-mode resonance at 868 MHz and 2.4 GHz. The proposed monopole antenna has operating impedance bandwidth of 2.89% and 2.78% for the first and second resonances, respectively. The gain of the presented antenna is in order of 1.18 dBi for lower resonant mode and 2.1 dBi for the higher resonant mode. The antenna resonates in the frequency range which is also useful in smart RFID tags for device identification operating over smart grid. In addition, the antenna can be utilized for the devices functional in Low Rate Wireless Personal Area Networks (LR-WPAN) and WiFi-based smart applications.

Non-intrusive load identification based subentry measuring smart electricity meter

Abstract: The invention discloses a non-intrusive load identification based subentry measuring smart electricity meter. The smart electricity meter includes a non-intrusive load identification module integratedin the smart electricity meter, wherein the non-intrusive load identification module can be printed on a main circuit board of the smart electricity meter or can be connected with the main circuit board of the smart electricity meter through a connector, and the non-intrusive load identification module is mounted in the meter box of the smart electricity meter or mounted in a reception cabin of asmart electricity meter module; the non-intrusive load identification module is used for identifying loads of different types mounted in a house, obtaining subentry measurement results of the different load types and outputting the corresponding subentry measurement results . According to the invention, non-intrusive load identification is integrated with a prior smart electricity meter, so thatprior smart electricity metering level is improved, richer electricity consumption information is provided for users and the non-intrusive load identification based subentry measuring smart electricity meter provided by the invention has a good application prospect.

Development of IoT Enabled Smart Energy Meter with Remote Load Management

Abstract: A smart energy meter provides real time power consumption data. This helps the consumer to manage their power requirement efficiently and economically. In a developing country like India, there is a rapid growth in the power sector. This paper explains the development of an IoT enabled smart energy meter capable of real time load management. The real time energy monitoring is visualized using a mobile application. The application also serves as a smart home controller where the user is capable of controlling the electrical appliances remotely or controlled based on events set by the user.

On the Challenges and Opportunities of Smart Meters in Smart Homes and Smart Grids

Abstract: Nowadays, electricity companies have started applying smart grid in their systems rather than the conventional electrical grid (manual grid). Smart grid produces an efficient and effective energy management and control, reduces the cost of production, saves energy and it is more reliable compared to the conventional grid. As an advanced energy meter, smart meters can measure the power consumption as well as monitor and control electrical devices. Smart meters have been adopted in many countries since the 2000s as they provide economic, social and environmental benefits for multiple stakeholders. The design of smart meter can be customized depending on the customer and the utility company needs. There are different sensors and devices supported by dedicated communication infrastructure which can be utilized to implement smart meters. This paper presents a study of the challenges associated with smart meters, smart homes and smart grids as an effort to highlight opportunities for emerging research and industrial solutions.

Electricity meter sensitivity and precision measurements and research on influencing factors for the meter measurements

Abstract: Methodology, equipment, precision, immunity to electromagnetic emissions and reliable measurement results are important questions for electrical energy measurements Widely used smart energy meters show good results under laboratory tests and in ordinary applications, but are not very suitable for industrial digital electrical energy supply environment A different method and inexpensive equipment are used to overcome the above mentioned The measured power balance between 15 robotized manufacturing cell measurement points (only power losses not measured are the ones in cables) varies in a range of 1,8% (measurement data rate- 20ms), despite the high level of electromagnetic emissions inside and outside of electric cabinets created by power converters

IoT Based Automatic Electricity Monitoring and Remote Load Control System Using PIC18F4550

Abstract: With the development in modern communication technology, every physical device is now connecting with the internet. IoT is getting emerging technology for connecting physical devices with the user. In this paper we combined existing energy meter with the IoT technology. By implementation of IoT in the case of meter reading for electricity can give customer relief in using electrical energy. In this work a digital energy meter is connected with cloud server via IoT device. It sends the amount of consumed energy of connected customer to webserver. There is a feature for disconnection in the case of unauthorized and unpaid consumption and also have option for renew the connection by paying bill online. We tried to build up a consumer and business friendly system.

PQ Metrics Implementation on Low Cost Smart Metering Platforms. A Case Study Analysis

Abstract: The increasing interest on the quality of the energy supplied and generated in distribution networks is raising the need of distributed power quality (PQ) measurements. To allow such capabilities with cost effective metering solutions, this paper wants to investigate the feasibility of using smart meters, already installed for energy billing, also for power quality monitoring. To this aim, an electronic board (based on STCOMET metrology device), already used in many energy meters of different countries, has been selected as case study platform. The manufacturer firmware of this board was essentially aimed at implementing energy meter metrics and power line communications functionalities. In this paper, new PQ functionalities were implemented and experimentally verified, taking into account the requirements of IEC 61000-4-30 for power quality measurements.

Transformer area phase identification method based on synchronous sampling of concentrator and electricity meter

Abstract: The invention relates to a transformer area phase identification method based on synchronous sampling of a concentrator and an electricity meter. The concentrator is synchronized with a collector, theconcentrator and the collector do not include time delay almost, and thus, after that the concentrator issues an ordered sampling instruction to the collector, the concentrator and the collector start data collection in the same ordered sampling time point, and the accuracy of the transformer area phase identification is improved; three-phase voltage data, collected by the concentrator, of a master meter of a transformer area and voltage data, obtained by the concentrator from the collector, of the single-phase electricity meter are processed to obtain standard deviations of the voltage of the single-phase electricity meter relative to phases of voltages of the master meter of the transformer area, and the phase connected to the single-phase electricity meter is determined according to whether voltage fluctuation curves between the single-phase electricity meter and the three phases of the master meter of the transformer area are similar on the basis of the three standard deviations.The phase identification rate of the single-phase electricity meter in the transformer area can be improved.