In the scheduling decision-making process of load aggregator

ignoring user comfort level or determining user comfort level based on subjective preference will lead to non-ideal scheduling model results. Fuzzy optimization is introduced to solve the conflict between economy and comfort in scheduling decisions.Based on game theory

an aggregator decision model is established to balance user comfort and economic cost scheduling. At the same time

in order to speed up the solving speed of the game model

game model is linearized and solving algorithm is formulated.Finally

an example is given to verify the validity of the decision model. Meanwhile

the scheduling results are analyzed from multiple angles to verify the fuzzy optimization boundary conditions and influence of comfort threshold and energy storage substitution are analyzed.