Energy Distribution and Pricing based on Load Demand Taxonomy in a Smart Grid Tree Network

The energy demand is growing drastically due to the technological developments in the world. It requires a smart energy distribution, scheduling and pricing based on the dynamic load demand. In this paper, a new Load Demand Taxonomy (LDT) based Energy Distribution and Pricing on Smart Grid is proposed. Based on the load demand and load request, the load is classified into different categories. Further, based load Taxonomy, Fuzzy pricing strategies is implemented. An Intelligent Block based Load Shifting Algorithm (IBLS) is proposed to maintain the load balancing and avoids demand request over the queue. From the simulation results it is observed that, the proposed algorithm controls the load demand and the dynamic pricing using load demand taxonomy controls the unit energy charge and provides benefit to the user. The IBLS with low category users to high category users satisfies a number of users and improves system fairness.