Demand side management using strawberry algorithm and bacterial foraging optimization algorithm in smart grid

Abstract

In Home Energy Management System (HEMs), consumer has the opportunity to schedule home appliances. In this paper, we have purposed an efficient HEMs by using two heuristic techniques: Bacterial Foraging Optimization Algorithm (BFA) and Strawberry Algorithm (SBA). We divide the appliances into three categories. The primary objective of this work is electricity cost and Peak to Average Ratio (PAR) minimization. Simulation results show that our optimization schemes reduce the total electricity cost and peak to average ratio by shifting the load from on peak hours to off peak hours. Results show that BFA performs better than SBA regarding electricity cost minimization. However, a trade-off always exists between cost and user comfort.