Bi-level optimal configuration of multi-energy microgrid under multiple scenarios

In order to improve the power supply economy, reliability and clean energy consumption capacity of microgrid, a bi-level optimal configuration model of microgrid capacity under multiple scenarios is proposed. The outer layer is the multi-objective configuration optimization layer, and the inner layer is the operation optimization layer, which minimizes the annual converted investment cost and annual operation and maintenance cost of the system, maximizes the accommodated wind power and photovoltaic power, and maximizes the annual self-power supply rate. At the same time, in order to deal with the uncertainty of wind and solar output and load, a typical day selection method based on scenario reduction is used, and the model is solved by combining NSGA-II and linear programming method. The example shows that the proposed method reduces the construction and operation cost of microgrid, and improves the capacity of clean energy consumption, power supply reliability and the ability to cope with source-load uncertainty.