Optimal Dispatch of Multi-Microgrids System Based On Affine Arithmetic

With the development of the integrated energy system, a distribution area is usually composed of multiple microgrid systems, forming the multi-microgrid system of electricity, gas and heat combined supply. In order to maximize the interests of energy service companies, this paper establishes an interval optimization scheduling model of multi-microgrid integrated energy systems considering multi-energy complementarity and energy interaction between multi-micro grid. In addition, in order to solve the disadvantages of traditional interval optimization methods that are too conservative, affine arithmetic is used to represent the uncertainty of prediction variables, and the correlation between prediction variables of different microgrids is traced by the noise terms in affine arithmetic. Moreover, the effectiveness and applicability of this method are analyzed by comparing with monte Carlo simulation method and interval optimization method. Simulation results show that when the uncertainty is 15%, the width of the interval solution obtained by this method is 16.25% smaller than that of the interval arithmetic.