Optimal Capacity Planning of Isolated Multi-energy Microgrid Considering Multi-dimensional Uncertainties

In recent years, microgrid technology has gradually been proved to be an effective method to solve the power supply problem in remote areas. The optimization goal of the planning model is to minimize the investment, operation and maintenance costs of the microgrid system, and the constraints include system power balance constraint, ‘abandon wind and light’ constraint, energy supply reliability constraint, etc. Then a mixed-integer nonlinear programming model is established, and the particle swarm optimization algorithm is used to find the optimal solution of this problem, after calculation, the optimal capacities of the WT, PV and battery in the microgrid are obtained. Simulation results indicate that the optimal configuration capacity obtained can minimize the total cost of the system while ensuring energy supply reliability and reducing wind and light abandonment as much as possible.