Stochastic Optimal Planning of Networked Microgrids for Indonesia Electrification Considering Various Faults

This paper delves into a scenario-based stochastic optimal planning model designed for networked microgrids in the Indonesian islands. The framework introduces a two-state optimization approach, encompassing both investment and operational aspects, to determine optimal capacities and locations of distributed energy resources within these networked microgrids. To address uncertainties stemming from load demands and renewable generation, Monte Carlo Simulations are employed to generate scenarios, capturing the inherent randomness of parameters. Concurrently, for scenario reduction, the K-means classification method is applied. Numerical results derived from 5-bus and 12-bus networked microgrids validate the effectiveness of the proposed planning model.