A Low Complexity and Secure Demand Response Technique for Peak Load Reduction

A new heuristic demand response technique for consumption scheduling of appliances in order to decrease peak to average ratio of power demand is introduced. The proposed technique uses a hopping scheme to schedule the appliances with flexible schedule without the need to obtain individual consumption of appliances thereby providing a high level of consumers' confidentiality. The proposed demand response is built on simple mathematical equations that significantly simplify advanced metering infrastructure (AMI) as well as communication requirements. In the stochastic programming, energy consumption scheduler embedded in AMI defines appliances' consumption vector based on the information vector that is provided in real time by network's control center. To show the effectiveness of the proposed scheme, its performance in reducing the peak to average and energy retail price is evaluated numerically and compared to idealistic as well as practical benchmarks.