Towards Efficient Scheduling of Smart Appliances for Energy Management by Candidate Solution Updation Algorithm in Smart Grid.

The energy demand is increasing day by day due to the huge amount of residential appliance’s energy consumption, which creates more shortage of electricity. Industrial and commercial areas are also consuming large amount of energy, but residential energy demand is more flexible as compared to other two. Nowadays, many of the techniques are presented for scheduling of Smart Appliances to reduce the peak to average ratio (PAR) and consumer delay time. However, they didn’t consider the total electricity cost and consumer waiting time. In this paper, we reduce the cost through load shifting techniques. In order to consider above objective, we employed some feature of the Jaya algorithm (JA) on a bat algorithm (BA) to develop a candidate solution updation algorithm (CSUA). Simulation was conducted to compare the result of existing BA and Jaya for single smart home with 15 smart appliances. We used time of use (ToU) and critical peak price (CPP). The result depicts that successful achievement of load shifting from higher price time slot to lower price time slot, which basically bring out the reduction in electricity bills.