EDHBPSO: Enhanced Differential Harmony Binary Particle Swarm Optimization for Demand Side Management in Smart Grid

Now a days home energy management system is being used all across the world. Ever increasing energy demands has brought many challenges in aspect of luxury and cost saving. Our work is mainly based on efficient utilization of resources by smart planning. In this aspect scheduling of home electronic devices play vital role. Calculating energy consumption and its timings paved the way to utilize it in most efficient way. In our work we have proposed hybrid of meta heuristic techniques such as HSA, EDE, BPSO. Key feature of state of art techniques has been merged together to evolve a technique that works excellent not only in aspect of cost saving, peak average reduction as well as provision of adequate user comfort. In order to evaluate our proposed technique we have considered set of nine devices includes interruptible, non interruptible and base devices in single home and perform scheduling by advance meter controller (AMC) to further send demand response to utility by smart meters. In response, utility provides real time pricing signals. Two way communication is establish to perform scheduling meticulously.