Abstract
As residential solar photovoltaic (PV) continues to grow around the world, voltage rise issues are expected to occur on the very infrastructure they are connected to the low-voltage (LV) networks. To avoid connection requests being unnecessarily delayed or even rejected, distribution companies need to adequately assess the extent to which LV networks can host solar PV. This study proposes a smart meter-driven methodology to quickly estimate the hosting capacity of LV networks without the need for complex and detailed network studies or the adoption of generic assumptions. Using smart meter data, a simple – yet practical – univariate regression model is trained to estimate the average (diversified) active power per customer that can lead to voltages outside the upper statutory limit. This value, in turn, can be used to calculate the additional PV capacity that can be hosted by the LV network. The proposed methodology is adopted considering smart meter data produced from realistic simulations of progressive PV penetrations on a real Australian HV feeder supplying 79 LV networks. Findings show that the proposed analytical technique provides adequate estimations of hosting capacity, making it a faster and simpler alternative to model-based approaches.
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