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The increasing quantity of PV generation connected to distribution networksis creating challenges in maintaining and controlling voltages in thosedistribution networks. Determining the maximum hosting capacity for new PVinstallations based on the historical data is an essential task fordistribution networks. Analyzing all historical data in large distributionnetworks is impractical. Therefore, this paper focuses on how to timeefficiently identify the critical cases for evaluating the voltage impacts ofthe new large PV applications in medium voltage (MV) distribution networks. Asystematic approach is proposed to cluster medium voltage nodes based onelectrical adjacency and time blocks. MV nodes are clustered along with thevoltage magnitudes and time blocks. Critical cases of each cluster can be usedfor further power flow study. This method is scalable and can time efficientlyidentify cases for evaluating PV investment on medium voltage networks.

Solar Enablement Initiative in Australia: Report on Efficiently Identifying Critical Cases for Evaluating the Voltage Impact of Large PV Investment