DEVELOPMENT OF SMART ENERGY METER WITH PARAMETER EXTRACTION AND CLUSTERING

Abstract

Electricity is one of the most versatile and widely used type of energy and its global demand is growing continuously. Smart Energy Meters with respect to present developments in power sector after introduction of concept of smart cities have gained a significant importance. The smart grids can be considered to an evolved power grid system that manages demand of electricity in viable, reliable, economical and efficient manner by an advanced infrastructure so as to keep every involved integration in perfect tuning. Thus the smart meters in this context form an integral part of this system. Smart Energy meters unlike traditional electricity meters can extract more than one parameters like current, voltage, power, frequency, phase etc. and can have two way connectivity to the consumer end as well as provider end by a significant communication infrastructure. The careful analysis of these parameters can provide the useful information like operational status, power consumption profiling and even can help in identification of consumer’s peculiar activities and behaviour. This can further help the providers to take several technical, management and security decisions in Smart Grid. The energy meters with parameter extraction features are available in the market but in order to process them in real time they need to be taken out through some communication channel. Additionally enabling this meter to take some actions on the basis of these processed parameters further add to the smartness of the meter. The various works on parameter analysis so as to enhance security in a smart grid are already available but implementing them for real time parameters is another task. Further the meter can also be made smarter if it can compensate some more features like online accessibility to it, dynamic pricing on the basis of supply and demand chain and load forecasting data, alerts via SMS channel and various other features from ICT infrastructure. iv The work is divided into two phases. First phase deals with parameter extraction from a digital electricity meter and then transferring them to a micro controller based setup which will use concept of Internet of Things (IoT) and thus resulting in availability of these parameters along with real time pricing over the dedicated internet portal. The second phase suggests an approach to establish clustering of users on the basis of average power consumption and also compensating the suggested other works in the relevant area too. The dynamic pricing is subjected to an open end based as it is operating on power consumption only but future scope is that it can also have inputs from load forecasting centre.