Application Of Smart Meter For Indian Domestic Consumers

The DOE was established to organize disjointed regulatory processes and create a national energy plan (Kuder et al., 2010). One of the main functions of the DOE is to monitor and report on the security of the smart grid. The primary objective of the reports are to provide data that may be

According to the case study written by Jurek, Bras, Guldberg, D’Arcy, Oh, and Biller, energy costs were steadily rising and were predicted to continue this trend going into the future. At the same time, utility companies were beginning to implement Smart Grid technologies to increase the efficiency of energy distribution. One resulting program to emerge from

One of the benefits of investing in this $100 million project includes rerouting power around bottlenecked lines. This allows Xcel Energy to deliver electricity to areas in Boulder that have a very high demand that the previous conventional electrical grid was unable to service effectively. This smart-grid system also enables Xcel Energy to detect and reduce power outages, identify false alarms more quickly and read customer meters remotely. This in return will lead to a reduction in the number of times the service crews are sent out to those locations, thus making the service crews more productive.

Generally, smart grids technologies can be put into four functional categories: Information collectors; information assemblers, displayers, and assessors; information-based controllers and energy resources. Smart grids collected data from various types of sensors. These sensors measure performance-related characteristics of electricity system components. Assessors are used to analysis and display the information they received from the devices. The information-based controllers devices will use the information that they received to control the other devices behavior to achieve the goal. Energy or power resources include the technologies that can used to generate, store, or reduce demand for electricity.

One such framework is discussed where “cloud-based software-as-a-service (SaaS), platform-as-a-service (PaaS), and infrastructure-as-a-service (IaaS) capabilities enable the various smart devices connected to the Internet of Things” [2]. Another framework addresses the “power distribution needs to ensure the various wired and wireless devices (things) have the power capabilities needed to deliver needed bandwidth at their particular location in the smart grid” [3]. Other framework focuses on “the issues of adoption, usage and impact of RFID technology” [4].

Abstract—To meet the Electric Power demands of a fast expanding economy, smart grid (SG) are expected to have reliable, efficient, secured and cost-effective power management system. Additionally, energy demands from the users change dynamically in different time-periods (such as on-peak , and off-peak) , which required dynamically availability

Energy measurement and management are amongst the major grid challenges and research efforts have been geared towards addressing them. The emergence of smart meters in consonance with the smart grid concept is as a result of these efforts. This paper explores the integration of Energy Management and Control System (EMCS) technologies into smart meters to mitigate energy wastages and ensure energy accountability. The integrated system presented in this paper leverages on the GSM technology to provides a tripod communication between the meter, utility and the consumers. Results from the system prototype show that the system offers the consumer the opportunity to make personal energy budgets in line with the energy conservation, provides more consumption details than the traditional meters and provides for the utility a better management platform of the consumer component of the grid.

Abstract: In this paper we present a load measurement scheme for home energy management system with energy demand management. The proposed system will have control of various appliances that are available in the home. It manages household loads according to their predefined priority and guarantees the total household power consumption below certain levels. The home energy management system will receive the demand response from the utility side. The goal of the system is to encourage the consumer to use less energy during peak hours or to move the time of energy use to off peak times such as nighttime and weekends. Thus the high peak-to-average ratio (PAR) of power will be avoided and also we adopt real time pricing. The utility company use real time dynamic pricing to coordinate demand responses to the benefit of the overall system. Hence for this purpose we need to measure the power consumed by the various appliances that are available in the home.

All the service connections, transformers, transmission infrastructure, substations, generation plants, and everything required in managing the generation and distribution of electrical power is known as the electrical “Grid.” The term “smart grid” has been used to describe a broad range of technologies, design concepts and operating practices that collectively paint an exciting picture of what our electric power infrastructure might look like in ten or twenty years. It is a new approach that significantly increases the efficiency of the entire electrical delivery system. Not only does increase reliability, but will also reduce energy in the delivery process and reduce greenhouse gas emissions. A

a)Smart Metering: Smart metering is the mainly important mechanism used in the Smart Grid for obtaining information from end users’ devices and appliances, while also controlling the performance of the devices. Automatic metering infrastructure (AMI) systems, which are themselves built upon automatic meter reading (AMR) systems, are broadly regarded as a sound strategy to realize Smart Grid. AMR is the technology of routinely collecting analytical, expenditure, and status data from energy metering devices and transferring that data to a central database for billing, troubleshooting, and analyzing. AMI differs from traditional AMR in that it enables two-way communications with the meter. So almost all of this information is available in real time and on demand, allowing for better system operations and customer power demand organization.

expensive but also impractical, maybe impossible in the longer run. This is because the total amount of power demand by the users can have an extremely extensive probability distribution, which requires spare generating plants in standby mode to respond to the rapidly changing power usage. The last 10% of generating capacity may be required in as little as 1% of the time. The attempts to meet the demand could fail, resulting in brownouts (i.e. a drop in voltage), blackouts (i.e. electrical power outage), and even cascading failures. In Smart

This project deals with the calculation of the energy meter billing with prepaid facility by using Smartcard based on the load consumption with GSM communication . The microcontroller calculates the rupees that will be consumed by the loads as per the amount inserted in prepaid recharge card ,which acts as input and displays it on the 16X2 LCD interfaced with the microcontroller. This project thesis is also covers the recharge option on every insert of card in smart module and the power is continued to process. This project is powered by an on-board power supply takes the ac power and converts it into dc power that is fed to on-board devices and integrated circuits.

A smart grid is an intelligent electricity network that integrates the actions of all users connected to it and makes use of innovative information, control, and communication technologies to save energy, cut cost, and raise reliability and transparency. The smart grid is an upgrade to the current electrical power structure. Meaning, on top of the functionality of our existing power system, it has upgraded with some novel specifications. These new features adds more vulnerability to the system. [2]

Residential area consume a lot of energy and electricity. The lack of energy resources give impact to the rise of energy cost, thus to have a convenient home is extremely important in the future. One of the way to reduce the costs in this issue is by using the energy efficiently. The idea of energy saving is applied in the concept of a smart home. This project aims to develop an algorithm to estimate the energy plans for future periods in a smart home in order to achieve energy efficiency. Using the Household Demand Side Management (DSM) systems, the total usage of energy in the future can be predicted according to the demand supply in the smart home. Furthermore, it is estimated that the simultaneousness between production and consumption of the electricity will be increasing. In this case, the house owner should be able to manage and plan to use the electricity wisely. Powerful tools such as MATLAB / Simulink allow the design, analysis and simulation of this project. This project will in divided into various stages including researching, experimenting, modelling, testing and designing in order to achieve the required objectives.

Generally, when we go out of the house or company or any infrastructure we switch off the light or the electrical equipments to avoid accidents such as short circuit, firing etc. but sometimes we forget to switch off, so to do this we have to come back . This is wastage of time and creates lots of chaos and tension. [6]So to avoid such kind of situation the latest technology coming up worldwide is the smart home technology this comes under IOT. IOT offers huge number of applications in various environments for improving the quality of our lives. Smart home is one in which all electrical equipment around the home technologically automated with highly advanced automatic system. Smart home is useful for everyone and can also be used in everyday life at home or company or any infrastructure. Smart home is consisting of three parts-