EDPD’s experience with data analytics and stochastic simulation methods for risk-controlled network planning

Abstract

Within the framework of the Move2Future project, EDP Distribuição (EDPD) is adapting to new realities and technologies, taking advantage of the investments in AMI. In that effort, EDPD embraced the development of a comprehensive methodology to enhance the support to investment decisions, increasing responsiveness and quality of service, while controlling the associated risks. This involved developing specific data analytics approaches for synthetic load modelling based on real data and adapting planning tools to synthetize grid outcomes of such modelling as risk indices. This paper presents the main challenges related to modelling and simulation, pinpointing key issues in computing resources, algorithm design and results presentation.