Loss minimum reconfiguration technology has been studied well from the theoretical and computational perspectives in the past decades and is expected to implement to the real-world distribution systems. In the real-world implementation of loss minimum reconfiguration technology, one of the barriers is the preprocessing cost for modeling the physical characteristics of the distribution networks and grasping the spatio-temporal dynamics of the load in order to derive the expected energy loss based on the power flow simulation though it is desirable that this technology is applied to the site with high expected energy loss reduction effect preferentially, the above laborious preprocess for prioritization which requires to be conducted for all the existing distribution networks becomes a problem of rapid implementation. In this study, the authors discuss several statistical approaches for prioritization of distribution networks with high expected loss reduction effect, that does not require the exhaustive preprocess. Numerical experiments based on data acquired from the real-world demonstration test reveal pros and cons depending on the application situation of these prioritization methods.
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