Load Scheduling for Smart Energy Management for Domestic Energy Consumers in Sri Lanka

Demand response becomes an active research area in the current context. Various types of models and algorithms had been developing for load shifting and scheduling by flattening the demand curve while minimizing the energy cost. In Sri Lanka, approximately 700 MW peak energy demand is supplied by diesel engines and gas turbines in addition to the base power plants which creates extra cost and environmental pollution. However, during the period of off peak, demand is considerably lower than period of peak. This work is carried out to encourage domestic customers to reduce electricity consumption during peak times through optimize scheduler. The mobile application developed can propose a best scheduling for the flexible domestic appliances without effecting to user comfort while achieving a stable demand curve.