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.

[1]  K. Schneider,et al.  Topology error identification for the NEPTUNE power system , 2005, IEEE Transactions on Power Systems.

[2]  Boming Zhang,et al.  A Mixed Integer Quadratic Programming Model for Topology Identification in Distribution Network , 2016, IEEE Transactions on Power Systems.

[3]  A. Abur,et al.  Breaker Status Identification , 2010, IEEE Transactions on Power Systems.

[4]  Yang Weng,et al.  Distributed Energy Resources Topology Identification via Graphical Modeling , 2017, IEEE Transactions on Power Systems.

[5]  Saverio Bolognani,et al.  Identification of power distribution network topology via voltage correlation analysis , 2013, 52nd IEEE Conference on Decision and Control.

[6]  Wolfram H. Wellssow,et al.  Identification of topology faults by smart meter data in meshed low voltage grids , 2014, 2014 Power Systems Computation Conference.

[7]  Hayes Barry,et al.  Event-triggered topology identification for state estimation in active distribution networks , 2016 .

[8]  Anuradha M. Annaswamy,et al.  Topology identification in distribution network with limited measurements , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[9]  Zhu Jin-feng Power flow method for weakly meshed distribution network with distributed generation , 2011 .

[10]  Lang Tong,et al.  Topology identification in smart grid with limited measurements via convex optimization , 2014, 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA).

[11]  Hu Lie-xiang ANALYSIS AND CONTROL OF LOOP POWER FLOW IN REGIONAL POWER NETWORK , 2004 .

[12]  Goran Strbac,et al.  A Recursive Bayesian Approach for Identification of Network Configuration Changes in Distribution System State Estimation , 2010, IEEE Transactions on Power Systems.