Intelligent day-ahead scheduling for distribution networks with high penetration of Distributed Renewable Energy Sources

Abstract

In order to help Distribution System Operators (DSO) effectively manage their distribution networks with a high penetration of Distributed Renewable Energy Sources (DRES), a new generation of tools is needed. These tools should help them manage their networks in a proactive way, be it short-term or long-term. This work proposes a day-ahead scheduling algorithm that takes into account forecasts of DRES generation and loads in a medium voltage (MV) distribution network, and intelligently utilizes flexibilities available in it, to provide an optimal day-ahead schedule. This schedule, depending on the accuracy of the forecasts, will provide a means for DSOs to manage their network with the lowest short-term operating expenditures. This proposed algorithm is validated on two test grids and the results obtained for typical conditions are shown.