Identification of Distribution Network Operation Topology Based on DSCADA and μPMU Telemetry Data Fusion

doi:10.3969/j.issn.1000-7229.2019.06.014

Abstract

Abstract: In the case of distribution network， distribution network supervisory control and data acquisition （DSCADA） system and a small number of micro synchronous phasor measurement units （μPMU） installed in some nodes of distribution network， a method for distribution network operation topology identification based on the fusion of DSCADA and μPMU telemetry data is proposed. Firstly， the identification model of topology change time is constructed on the basis of node voltage phase measurement by μPMU， and the time of topology change is identified. Then， on the basis of the node voltage changes before and after the topology changes， criteria for possible topologies is constructed with the help of DSCADA and μPMU telemetry data， and the possible range of the reconstructed topology is reduced. Finally， the weighted least squares method is used to fuse the DSCADA and μPMU telemetry data， to estimate the node voltage phase under the possible topologies， and to identify the actual topology by using the established topology similarity identification model. The accuracy of the algorithm is verified by considering different measurement error combinations of μPMU and DSCADA.

Key words: distribution network, topology identification, multi-source data fusion, distribution network supervisory control and data acquisition（DSCADA）, micro-synchronous phasor measurement unit（μPMU）

CLC Number:

TM 73

WANG Hefei，LI Hongtao，YU Kun，GUO Wenxin，HUANG Kun. Identification of Distribution Network Operation Topology Based on DSCADA and μPMU Telemetry Data Fusion[J]. Electric Power Construction, 2019, 40(6): 123-131.

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