Distribution Transformer kVA Load Estimation Using Smart Meter Data

This paper presents a hardware-free novel strategy for a distribution transformer kVA load estimation, without requiring a fixed power factor assumption or reactive power load information across residential electricity consumers. The proposed strategy provides a simple and effective fixed-point iteration-based formulation for a balanced secondary distribution network. The efficacy and a detailed statistical analysis of the proposed scheme are studied on a balanced secondary distribution system against 1,000 random load profiles through Monte-Carlo simulations which represent uncertainty in smart meter data. The results indicate that the proposed scheme provides better results in comparison to fixed power assumptions for a distribution transformer kVA load estimation, and the results from this work may contribute to further smart-grid applications.