Abstract

In this study, we propose a voltage estimation method for the radial distribution network with distributed generators (DGs) using high-precision measurements (HPMs). The proposed method uses the section loads center for voltage estimation because individual loads are not measured in the distribution system. The bus voltage was estimated through correction of the section load center by using an HPM at the end of the main feeder. The correction parameter of the section load center was calculated by comparing the initial voltage estimates and the measurements of the HPMs. After that, the voltage of the main feeder was re-estimated. Finally, the bus voltage in the lateral feeder was estimated based on the voltage estimates in the main feeder and the current measurements in the lateral feeder. The accuracy of the proposed algorithm was verified through case studies by using test systems implemented in MATLAB, Simulink, and Python environments. In order to verify the utilization of the proposed method to the practical system, a test with injection of approximately 5% of normally distributed random noise was performed. Through the results of the case studies, when an HPM is installed at the end of the main feeder, it demonstrated that the voltage estimation accuracy can be greatly improved by the proposed method. Compared with the existing methods, the proposed method was less affected by PV and showed robustness to measurement noise.

Highlights

  • In recent years, the increasing number of distributed generators (DGs) and reduction of the profitability for power companies have resulted in a change in the existing operation method that overcomes the variability of the distribution network by sufficient infrastructural investments at the planning stage

  • We proposed a method that greatly improves the accuracy of voltage and load estimation by adding minimal high-precision measurements (HPMs) in a distribution network that does not measure individual loads and has only the measurements of switches

  • The is interconnected, is the generation dominant section with a large PV, and the iteratively re-weighted least square (IRWLS) method had the lowest estimation accuracy than the other methods owing to the change in PV output

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Summary

Introduction

The increasing number of distributed generators (DGs) and reduction of the profitability for power companies have resulted in a change in the existing operation method that overcomes the variability of the distribution network by sufficient infrastructural investments at the planning stage. Real-time monitoring and active control are considerably required to replace conventional excessive infrastructure investments as a solution to improve operational efficiency. A new alternative is arising, which is known as the active distribution network in contradiction to the passive distribution network [1]. This change is cost-effective and improves the hosting capacity of DGs. the active distribution system implies a certain degree of risk in comparison with the conventional system

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