This paper presents a statistical clustering analysis study for low voltage (LV) distribution feeders in Western Australian (WA), Australia. The work identified a group of prototypical LV feeders from thousands of feeders, where each feeder represents specific types of users and electrical loads. The prototypical feeder data is used to identify physical feeders that are a set of representative test cases for LV feeders in the WA context. The test case feeders can be used as statistically meaningful representative cases for the assessment of technology impacts including smart grid deployments or load changes due to photovoltaics or electric vehicle uptake.