Discrete-event simulation framework tor developing methods for low voltage network observability enhancement

With the considerable volume of data obtained by a Smart Grid management system, modern statistical and machine learning approaches can be used to extract useful information about the energy distribution network. This paper introduces the PLC smart meter communication crosstalk problem in low-voltage electric energy distribution network, and a software simulation framework, which can facilitate the search for a solution. Each piece of data arriving from the Smart Grids is treated as a discrete event. The data is then analyzed by a process-based discrete-event simulation framework to infer information that is directly unobservable, and in turn yield results that effectively solve the crosstalk problem. An example simulation is described in detail, along with its results.