Optimal Scheduling of Household Flexible Load Considering User Electricity Comfort, Electric Bill and Grid-connected Power Fluctuation

With the increasing number of household appliances and electricity consumption, as well as the maturity of household load control technology, active power dispatching optimization on the user side is of great significance to the operation and development of the power grid. Firstly, according to the operating characteristics of different household loads, the household load is divided into fixed load, power controllable load and time controllable load models. And then, under the condition of time-of-use electricity price (TOU), considering the user's electricity comfort, electric bill and grid-connected power fluctuation, the scheduling optimization objective function of household equipment under TOU is established, and the genetic algorithm is used to optimize the solution. The effectiveness of the model and the proposed method is verified by an example simulation. The simulation results show that the proposed algorithm can reduce the electricity cost and stabilize the power grid fluctuation while satisfying the residential electricity comfort.