Research on Probabilistic Load Flow Algorithm for Flexible Interconnected Distribution Network

With the rapid development of flexible DC distribution technology, the flexible interconnected distribution network composed of DC distribution network and AC distribution network has attracted more and more attention of researchers. With the large-scale access of distributed generation with intermittent and random characteristics, the flexible interconnected system presents a certain degree of uncertainty. The traditional power flow analysis method is no longer applicable, so probabilistic load flow analysis method is needed. However, there are few studies on the probabilistic load flow of flexible interconnected distribution systems. Thus, the flow problem of flexible interconnected distribution network is studied with uncertainty in this paper. The three-point estimation method combined with the improved AC/DC alternating iteration algorithm is used as the algorithm for the realization of probabilistic load flow of flexible interconnected distribution network. The Nataf transform method combined with Cholesky decomposition is used to process the correlation of uncertain non-normal input variables. On this basis, the IEEE33 node distribution system combined with the DC power distribution center is taken as an example to verify the effectiveness of the proposed algorithm.