Family Energy Management Based on Non-dominant Sequencing Genetic Algorithm

The demand response of home users is very important for the realization of smart grid. This article first classifies household appliances, through the family electricity cost minimum and power grid stability of maximum, puts forward a multi-objective optimization problem (MOP), and use the pareto optimality, by introducing the elite strategy of non dominated sorting genetic algorithm (NSGA-II) to solve it. Simulation results show that this method can effectively balance the demands of residential users and power grid.