Intraday economic optimal dispatch of distribution networks based on fuzzy set prediction

Abstract Aiming at the uncertainty problem of electric vehicle charging and discharging, this paper proposes an intraday scheduling model and its solution method based on fuzzy set theory and an improved subtraction optimizer algorithm. The charging station dispatchable resource prediction model is constructed based on event-wise fuzzy set theory. On this basis, the intraday optimal scheduling model is constructed by comprehensively utilizing the dispatchable resources of the charging station to collaborate with the photovoltaic and energy storage outputs and is solved by the improved subtractive optimizer algorithm to realize the optimal scheduling to minimize the operating cost. Finally, the effectiveness of the proposed method is demonstrated by simulation analysis based on the IEEE-33 node arithmetic system.