Home Energy Management in Smart Grid Using Bacterial Foraging and Strawberry Algorithm

The electricity demand from residential buildings is increasing gradually day by day. Home Energy Management Systems (HEMS) are used to meet this demand by using Demand Sides Management (DSM) to reduce the pressure on consumers and utility companies. In this paper, HEMS is facilitated by using different meta-heuristic scheduling techniques: The Strawberry Algorithm (SBA) and Bacterial Foraging Algorithm (BFA). The SBA is useful for every kind of optimization problem and helps in scheduling the electricity load. To compute the cost efficiently Time-of-Use (ToU) pricing scheme is used. Results illustrate that the cost is reduced efficiently along with Peak to Average Ratio (PAR).