Global Sensitivity Analysis of Islanded Microgrid Power Flow

With the increasing penetration of renewable energies into microgrids (MGs), the uncertainties of MG operation are more remarkable. Therefore it is necessary to evaluate the influence of random input variables on the state of systems. In this paper, a global sensitivity analysis (GSA) based on the Sobol method is proposed to evaluate the influences of uncertainties on islanded MG (IMG) power flow. First, considering the droop control of distributed generations and uncertainties of renewables and loads, an IMG probabilistic power flow model is established. Then, the Sobol method based on Monte Carlo simulation (MCS) is used to perform GSA and the Levenberg-Marquardt (LM) method is used to solve power flow. Finally, the proposed method is tested using a 33-bus IMG system, and the influences of renewable generation on power flow and frequencies are analyzed.