AI4Substation

About the Project

This project aims to address the following challenges in the operation of distribution grids: 1) Reduce the cognitive load (i.e., high number of alarms) of human operators in the operation of an HV/MV substation in the distribution network. 2) Include and automate historical and online information collected by SCADA in the decision-making process. 3) Develop artificial intelligence (AI) philosophies to interact with the human operator, facilitating the adoption of technology by the operator/end user. 4) Enhance human operators' decisions in the face of a high volume of information and alarms.

Acronym

AI4Substation

Responsible

Ricardo Jorge Bessa

Status

Closed

Starting Date

January 1, 2019

Ending Date

January 28, 2021

Effective End Date

January 28, 2021

Global Budget

Funding

Website

Datasheet

Members

Team Leaders

Ricardo Jorge Bessa

Team Members

Conceição Nunes Rocha

João Paulo Viana

José Ricardo Andrade

Ricardo Jorge Bessa

Ricardo Silva

Associated Centres

Power and Energy Systems

INESC TEC’s main actor in the energy field is the Centre for Power and Energy Systems (CPES), which falls within the Cluster Energy Systems. We at CPES are internationally recognised for our expertise in the integration of renewable energy in power systems, distributed generation, storage, smart grids and areas traditionally associated with the planning and operation of power systems. The high level of expertise developed has allowed our experts at CPES to take on key roles in important EU projects as part of the successive framework programmes that led to notable scientific and technical advances with considerable impact on industry. This has led to contracts for development and consultancy with companies manufacturing equipment and with generation, transmission and distribution companies, regulators, government agencies and investors in Europe, South America, the United States of America and Africa. At CPES, we address the following main research areas: Decision Making, Optimisation and Computational Intelligence, Forecasting, Static and Dynamic analysis of Energy Grids, Reliability, Power Electronics.