Abstract

Photovoltaic distributed generation (PVDG) has seen tremendous growth in recent years, especially in the residential sector. Among other concerns, the voltage rise in AC networks is considered the most limiting factor in achieving increased PV penetration levels. A steady-state impact study is performed on a CIGRE low-voltage (LV) residential network. This paper compares six techniques to increase the PV penetration limit in the LV residential network, namely single-phase penetration (SPP), Distribution Scheme 1 (DS1), Distribution Scheme 2 (DS2), alternate phase penetration (APP), offline tap adjustment (OTA) and switched on-load tap adjustment (SOLTA). PSCAD software is used for this study. The best results are obtained for the DS2-SOLTA case that gives the minimum voltage magnitude and voltage unbalance in the system. The steady-state results are validated by a dynamic data study using measured solar irradiance and residential load data. A novel approach is also proposed for calculating the worst day from the data set. The obtained results verify the effectiveness of the proposed approach.

Highlights

  • Photovoltaic (PV) generation can currently be considered as the most popular renewable energy source, and its use is increasing as PV module costs are decreasing day by day

  • Six techniques are analyzed by considering different PV penetration levels and loading scenarios

  • The weighting factor serves the purpose of adjusting the performance index according to a particular value to distinguish between negligible violation and high violation conditions in the network; it is adjusted arbitrarily so that in order to keep the voltage magnitude and voltage unbalance within limits, PI remains well below unity

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Summary

A Comparative Study into Enhancing the PV

Musharraf Wajahat 1 , Hassan Abdullah Khalid 1, *, Ghullam Mustafa Bhutto 2 and Claus Leth Bak 3.

Introduction
Voltage Quality Standards
Photovoltaic Penetration Definition and Assumptions
LV CIGRE Distribution System
Simulations and Results
Worst Day Estimation
13. AtThe this worst
Conclusions
Full Text
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