Demand response management using cloud enabled load optimization

Energy demand for users of residential, commercial, industrial and agriculture has been largely uncontrollable and inelastic in relation to power production. There is urgency in power sector to provide flexibility in energy use by various sectors so as to maintain the stability and efficiency of the electric system. At the same time it is important to maintain the minimum peak average ratio (PVR). DSM can smoothen the peak to-average ratio (PAR) of power usage in electricity supply. In this paper, the main aim is to encourage the consumers to use less energy during peak hours by sending message alerts to the particular consumer with the cost allocated for the unit usage and to maintain the maximum profit profile for generation companies. For this we simulated power generation and the distribution models with LabVIEW technology. From this simulated model we collect the data of the generation and the distribution systems for every interval. This is stored in the data base of the cloud platform. When the demand profile is more than the generation profile from the collected cloud data, peak load time is observed on that time and the collected data is compared by the optimized data which is taken by the maximum profit optimized solution. In this case sending the message alerts to the consumer and consumer also be a part of DSM of the electricity system.