Relevant Subnetwork Identification for Topology Error Detection in Power Systems

The development of methods based on demonstrating portions of the power system network at the detailed level has brought about new perceptions for topology error identification in modeling power system in real-time. This paper reports the issue of defining the noteworthy portions of the network to be represented in details so as to guarantee satisfactory topological conditions for determination of topology inaccuracies. Beginning with the reduced network model, the suggested methodology executes error investigation and states linkage indices used for suspicious branches determination. Binary Bat algorithm is then used to enlarge the suspicious branches into a significant subnetwork to be represented at the detailed level. This subnetwork contains all uncertain substations and shows the essential properties for determination topology inaccuracies. Simulation results for the proposed methodology using IEEE 14-bus and 30-bus test systems proved its effectiveness.