Focusing on the influence caused by the uncertainties of wind speed

light intensity and load on optimal configuration of standalone microgrid

this paper uses the probability density functions of these factors to construct the typical day for each month

and its multistate modeling for wind power

photovoltaic power and load at every moment is obtained using the multi-state system theory. A multi-objective optimal configuration model of standalone microgrid considering the economy and environment protection is established

the improved non-dominated sorting genetic algorithm (NAGA-Ⅱ) is used to solve the problem. The proposed method and the method based on the historical scenario are studied in a case respectively

the comparison of the results validates the proposed model and method. This work is supported by National Natural Science Foundation of China (No. 51207140).