Abstract

Many power utilities may have problems with the quality of data in records about which feeder a distribution transformer is connected to. This affects the operation and maintenance of smart grid infrastructure, outage management, line loss management, and workforce safety. The traditional manual way of verifying and updating the distribution transformer connectivity (DTC) is time-consuming and labor-intensive. Researchers have proposed the method which makes use of secondary side single-phase voltage of distribution transformers to verify DTC. However, when the windings of distribution transformers are yyn0 connected, the performance of the single-phase voltage method (SPVM) is unsatisfactory due to the unbalanced three-phase voltages. This paper proposed a dimension reduction method (DRM) that can convert the unbalanced three-phase voltage to a balanced voltage. The data which include 29 days' secondary side voltages of 3866 distribution transformers have been collected. The performances of the DRM and the SPVM have been compared. Results show that the DRM always has higher accuracy compared with SPVM. The influences of the maximum voltage difference and the reference distribution transformer have also been discussed. The DRM's results are more stable compared with SPVM.

Highlights

  • Distribution network topology (DNT), as an important part of basic network data, has recently received increasing attention

  • It can be concluded that maximum voltage difference has little influence on dimension reduction method (DRM) and the performance of DRM-1 is more stable compared with single-phase voltage method (SPVM)-9

  • The volatility of the results of DRM-1 is smaller and the performance of DRM-1 is more stable compared with SPVM-9

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Summary

INTRODUCTION

Distribution network topology (DNT), as an important part of basic network data, has recently received increasing attention. To deal with Type 1 DNT data, [6] proposed a distribution network connectivity (DNC) verification method based on the analysis of smart meter data. To deal with Type 4 DNT data, [15] presents a method for verification and estimation of phase connectivity of the transformer. The essential idea is that we can make use of the similarity of the voltage curves of customers or distribution transformers when verifying DNT.

METHODS
SIMILARITY CALCULATION OF VOLTAGE CURVES
CONCLUSION
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