Developing a Decision Support System for Flexibility Management in the Distribution Networks

In the last years, flexibility markets have been developed in Europe in order to support distribution system operators to manage their systems characterized by a high penetration of distributed generators. The proper exploitation of these market services would require optimization tools for flexibility management as well as proper forecasting tools that could reduce the uncertainty on load prediction. In this context, this work presents a decision support system for flexibility exploitation (DSSFE). In addition, the effects of random behavior of the users and the wrong knowledge of flexibility capability have been assessed. The developed algorithm has been tested on 141 IEEE case study network assuming several distributions of flexibility capabilities. The collected results show that the developed DSSFE is efficient for solving network congestions; nevertheless, conservative approaches in the optimization process are needed in order to take into account the random behavior of the users.