Probabilistic Power Flow Calculation of Microgrid Based on ℓ1-Minimization

Abstract

In view of the impact of the uncertainty of renewable energy on microgrid operation, traditional deterministic power flow calculation becomes more and more difficult to fully describe system operation states and power flow distribution. Considering the randomness and correlation of source and load in a microgrid, this paper establishes a probabilistic power flow model for micro-grid systems. The probabilistic power flow solving algorithm we propose is based on ℓ1-minimization, which effectively improves the computing efficiency of probabilistic power flow of microgrid with high-dimensional input random variables. By simulating on the modified IEEE 30 node, the accuracy and effectiveness of the proposed method are verified by comparing with the traditional Monte Carlo method.