A server based load analysis of smart meter systems

The electricity demand is increasing with the growth of population and with the use of different appliances in the households. So, there is a need for consumers to track their daily usage and understand the consumption patterns to save and control these resources. Smart meter along with Advanced Metering Infrastructure(AMI) is a pragmatic and efficient solution for this. Earlier procedure which put to profitable use of one-way communications to gather meter data, were mentioned to as Automated Meter Reading (AMR)Systems. This paper aims at analysing the performance of the proposed smart meter systems, efficient transmission and how utilities explore new developments for the benefit of consumers as well as themselves by remotely monitoring energy consumption. The methodology followed to analyze the outcome is Power Line Communication(PLC), which is an arrangement to pass on data on an electrical conductor used for transmitting electric power from high voltage transmission lines to lower voltage lines used inside the buildings. This is achieved by using PLC modems for remote monitoring and control of energy meters. By this way we can bring down human efforts needed to outline meter readings which are till now recorded by visiting every home individually. As a result, the consumption patterns at the utilities are studies and load analysis is made so that this can help in maintaining other systems associated with energy management. To study and analyze the load consumption patterns, simulations were carried out in MATLAB. By this way an estimate on the energy consumption can be made and thus have a control on its usage.