Interconnection switch on-off state identification of distribution networks based on load measurement

In this paper, two approaches of interconnection switch on-off state identification of medium voltage distribution network are proposed; one is using weighted least squares (WLS) to estimate the voltage variables of all nodes by measured values of end nodes under given possible topology models, and then using recursive Bayesian approach (RBA) to justify which topology model is the correct one; the second approach is using back-forward sweep (BFS) power flow algorithm to obtain the voltage variables of all nodes, then using the same RBP to identify the topology. The case study of IEEE 33 nodes distribution networks shows that both approaches have a high accuracy, but the BFS has a faster justification, fewer iterations, less computing time and simpler codes.