An intelligent opportunistic scheduling of home appliances for demand side management

Abstract

Demand side management plays a vital role in load shifting to off peak hours from on peak hours in response to dynamic pricing. In this paper, we propose an optimal stopping rule (OSR) and firefly algorithm (FA) for the demand response based on cost minimization. Each appliance gets the best opportunistic time to start its operation in response to dynamic electricity pricing. The threshold based cost is computed for each appliance where each appliance has its own priority and duty cycle regardless of their energy consumption profile. Numerical simulations show that our proposed scheme performed well in lowering cost, waiting time and peak to average ratio.