04-09-2014, 02:33 PM
GSM Based Power Meter Reading And Control System
Power Meter Reading.doc (Size: 1.7 MB / Downloads: 92)
Abstract
The present system of energy billing is error prone and also time and labour consuming. Errors get introduced at every stage of energy billing like errors with electro-mechanical meters, human errors while noting down the meter reading, and errors while processing the paid bills and the due bills. The home appliances which consume more power cause an increase in the payment of excessive bills. The remedy for all these problems GPMC(GSM based power meter and control system) is developed which consist of the integration of a single phase Class 1, IEC61036 , standard compliance digital kWh power meter. It will keep track of the meter reading of each day and the reading with the user identification number send it to the user as well as to the electricity department and Electricity e-Billing system associated with electricity department will keep the track of each SMS meter reading and the appropriate bill get generated at the last day of the month and the bill is forwarded to user from the server. So there are no chances of confusion to the user for paying the bill. The GPMC also feature distribution control system which controls the power of the appliances remotely.
INTRODUCTION
Since the first Global System for Mobile Communications (GSM) network started to commission and operation in 1991, the world has adopted the standard for mobile communication. After the adoption, countries around the world are developing GSM infrastructure for wider nation wise coverage at a rapid rate. The SMS was developed as part of the Global System for Mobile Communication (GSM) phase2 specification in 1992 as a text paging mechanism in addition to the original GSM voice service. It experienced an astronomical increase usage making it as a popular communication means for notification.
The SMS has extended their service to content providers to deliver a wide variety of services to mobile phone users. SMS is one of the convenient mean of communication especially for reminder, notification, and a short note when the mobile phone user is not expect to answer or respond immediately. With the advancement and booming of ICT and internet technology makes online information system applications such as e-commerce are gaining more acceptances by the public. The convergence of GSM and ICT network allow more mobile and wireless applications to be implemented such as electricity meter readingbilling, payment and distribution control. Now-a- days, Current electricity billing is done by labour and manual reading from houses to houses shown on Table 1.1. This requires huge number of labour operators and long working hour to achieve complete area billing
LITERATURE REVIEW
According to [1], Automatic Meter Reading(AMR) technology,electrical utilities (EUs) have been exploiting their own infrastructure to bill their customers in an efficient and economical way. Since the amount of data that has to be send is quite low related to the available time to perform this task, AMR applications have been demanding low bit rates. At this moment, EUs are exploring and demanding other services as load and alarm management, remote monitoring and disconnections, etc. In this context, the Low Voltage modems should provide more throughout while keeping the cost of the hardware low. The results of this low complexity AMR technology are that in order to deploy an AMR network, the cost of the equipment on the customer premises and the added value services that the system provides are two key factors in its business case.
BLOCK SCHEMATICS
3.1 Block schematic for “GSM based power meter reading”
The figure 3.1 shows the block schematic for the meter side for the measurement of meter reading from the remote location. The message which is send by the server side for the request of the reading which is firstly received by the GSM modem, then microcontroller(Master) first read the message from the SIM card, then Master controller will communicate with the slave microcontroller which is continuously taking the reading from the meter via serial peripheral interface, the slave who setup the communication with master and slave will send the current reading which is store in the Stack of the slave will send it to the Master microcontroller
SOFTWARE IMPLEMENTATION
According to the hardware circuit design features, meter reading terminal program flowchart was introduced as shown in figure 5.1. First the system initializes each module, and then reads the meter reading regularly and stores them. When the receiving the command, meter send the current status along with the energy consumption.
HARDWARE IMPLEMENTATION
A large part of the project involved choosing the appropriate hardware components to take the meter reading from the meter and send it to user and to server remotely and to control the power consumption and provide a wireless link. The initial idea was to search for an all-in-one
CONCLUSION
Today utility owners are using energy based tariffs when distributing electricity. If implementing a load-demand based tariff the possibilities to control the consumption pattern increase because the economical revenues become more connected to the peak loads within the system. The new demand-based tariffs meet the Swedish regulations as long as the total yearly revenue does not exceed the fixed limit. However, the monthly revenues are varying depending on which tariff is being modelled. The demand based tariffs move the revenues to the high-peak period, November - March, and the utility operator gets a good matching between system peaks and revenues. Further investigations needs to be done in order to determine the adequate pricing level from the utility operators' as well as the customers' points of view.Automatic meter reading systems contribute to an increased knowledge of different consumption patterns on an individual basis shown in fig 7.1. Combining individual electricity consumption series with large-scale data handling methods could provide powerful tools for evaluation, forecasting and simulation of electricity consumption. A bottom-up approach is not a precise model for electricity consumption on an individual level. A model with good performance on an aggregated level, using a bottom-up approach, could increase the understanding of the different parts of electricity metering series. The control system of this project is a cost effective with the controlling more than 4 appliances simultaneously as this system is very benefitial for the home appliances power control so as to reduce unnecessary power consumption