Endesa is leading the PASTORA project, which seeks to integrate artificial intelligence tools to improve real-time control and preventive maintenance of the distribution network that brings electricity to homes. The project will use Big Data technologies and automatic learning techniques based on Deep Learning and Artificial Intelligence to exploit the millions of data offered by the new smart network. This information will allow the development of predictive models of how the network will behave in order to improve its performance.
The goal of these data mass analysis and automatic learning tools, that facilitate the creation of predictive models and train them with the historical data of the state of the network that are stored in real time, is to allow the integration of renewable energies and electric vehicles. This, by predicting the state of the network and anticipating where incidents may occur in order to direct maintenance tasks and investments to the most necessary points.
For example, power supply issues are currently detected at a point in the system and, after analyzing the network, it is determined where and what has caused that incident, and then the technical team comes to remedy it. The idea is to create a set of tools to predict the problem before it occurs and take measures to prevent it, dramatically reducing the time in which a customer lacks service.
Predictive models and artificial intelligence
The incorporation of smart transformers with integrated sensors, real time information processing tools based on big data and the analysis of historical data series to prevent and predict incidents, represent a new step in the digitization of distribution networks.
All these tools will be tested in the PASTORA project in the Smartcity Málaga Living Lab environment of Endesa, and as a baseline will use the positive results of the MONICA project for real-time monitoring and control of the distribution network. This project has allowed the implementation of one of the first estimators of medium and low voltage network status at the international level.
With PASTORA, an acronym for Preventive Analysis of Smart Grids with Real Time Operation and Renewable Assets Integration, smart and innovative solutions are sought for the development of smart grids, new electricity networks of the future and meet the requirements of the new electric model with the massive integration of renewable energies, new self-consumption models or the progressive incorporation of the electric car.
The PASTORA project
A consortium led by Endesa and comprising Ayesa Advanced Technologies, Ormazabal Media Voltage, Ingelectus Innovative Electrical Solutions, AICIA (research organization linked to the University of Seville) and the University of Granada will develop PASTORA.
With a duration of 31 months, the PASTORA project has a total budget of 2.8 million euros that has been partly subsidized by the Center for Industrial Technological Development (CDTI for its acronym in Spanish), supported by the Ministry of Science, Innovation and Universities and co-financed by the European Union with FEDER funds through the “Multi-regional Operational Program of Spain 2014-2020”.