Day-ahead energy optimal scheduling of household microgrid considering the user satisfaction

With the control technology development of household load and smart grid, household microgrid energy optimal scheduling will be an important means to provide personalized, differentiated electricity services for users. Based on the different characteristics of household microgrid load, models are established for fixed load, shiftable load and adjustable load in this paper. Considering the comfort and economy of users´ electricity utilization (EU), a day-ahead energy optimal scheduling model of household microgrid is proposed, which takes the maximum of user satisfaction as the objective function under the time of use price (TOU) condition. Resources that can be scheduled of the household microgrid include photovoltaic generation unit, energy storage unit and load unit. Genetic algorithm is adopted to solve the proposed model. Example analysis shows that different optimal scheduling schemes can be provided according to users´ EU needs by the proposed model. And it can effectively reduce the users electricity cost if the household microgrid could be scheduled reasonably.