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Power and Energy Systems
About Domain
In this domain, we introduce several competences that enables us to develop integrated solutions for the efficient, flexible, and sustainable management of energy, supporting the transition to smarter and decarbonised energy systems. Some of these areas of expertise include:
Power system operation and planning
Smart Grids
Electricity Markets
Multi-energy Systems
Challenges
The Power and Energy Systems scientific domain envisions supporting society’s full and enduring decarbonisation, adopting a multidisciplinary strategy acting across the whole energy value chain and planning and operating it across multiple energy carriers, infrastructures, and users in an integrated, interconnected, and digitalised energy ecosystem. This will be anchored on combining model-based and data-driven methods for optimising and controlling energy systems while proposing novel policy and regulatory solutions. A laboratory infrastructure for smart grids and electric vehicles (x-energy) enhances the research and innovation capabilities of the scientific domain by providing technological support for the development and validation of theoretical concepts. Research outcomes include concepts, models, methodologies, and tools addressing the decision problems of citizens, communities, multi-utilities, system operators, regulators, policymakers, and government bodies, tackling four major challenges:
Main achievements
We have actively contributed to the development of smarter, more collaborative, and sustainable energy systems. Our achievements range from secure data sharing to the optimisation of flexible energy resource participation in markets, with a direct impact on the energy transition and the operation of energy communities.
Safe energy data sharing
We developed an innovative protocol based on federated learning to improve renewable production forecasting, while respecting the privacy of data and energy assets with different owners. This method overcomes the limitations of traditional machine learning models. We proposed a market mechanism that encourages data sharing by assigning monetary value based on its contribution to the business. Publications here, here, here. Patent pending WO/2022/090580.
New models for local markets and flexible resource management
We created an innovative post-delivery peer-to-peer market model that generates supply and demand curves from real measurements and interacts with flexibility markets. We developed coordination methods with grid management, considering constraints. Simultaneously, we applied a predictive control algorithm to the operation of communities with energy storage, validated in a real pilot. Publications here, here, and here.
Aggregation of multi-energy flexible resources
We developed distributed optimisation methods for aggregators to participate simultaneously in electricity, gas, and carbon markets without explicit knowledge of grid constraints. We proposed a stochastic optimisation approach to handle forecasting uncertainties, offering more robust and diversified bidding strategies. These solutions led to the creation of two open-source tools. Learn more here, here, and here.
Flagship Projects
Smart4RES
The development of data science and increasing quantities of data collected opens new possibilities for renewable energy (RES) forecasting. The EU-funded Smart4RES research project aims to substantially improve the entire model and value chain in RES prediction by proposing the next generation of RES forecasting models. The project is focused on improving weather forecasting with a particular focus on the needs of the RES industry. It will exploit very high-resolution weather predictions and a wide range of data from different geographical areas and ownerships while respecting privacy and confidentiality constraints. Smart4RES targets include providing outstandingly accurate forecasts that result in increased benefits when used in applications like storage management and that support grid operation and RES participation in electricity markets.
ATTEST
The objective of the ATTEST project is to develop and operationalize a modular open source toolbox comprising a suite of innovative tools to support TSOs / DSOs operating, maintaining and planning the energy systems of 2030 and beyond in an optimised and coordinated manner, considering technical, economic and environmental aspects. The consortium, from six EU countries, that has been assembled to deliver ATTEST consists of five highly experienced research organisations in the energy systems area, two utilities that manage and operate the transmission system and the distribution system in Croatia, and two industry partners that specialise in the development of advanced ICT solutions and SCADA systems.The development of this broad spectrum of energy-related ICT tools and the utilization of next generation algorithms, demonstrated in a real world environment has not been attempted before. The outputs from the ATTEST project will enable accelerated dissemination, by a wide range of research institutions, within and outside of the project consortium, of the tools that will help TSOs and DSOs to better manage their networks. The demonstration of the results of the project will be valuable for the scientific community and EU energy industry and attest to the relevance of the solutions developed.
Selected Publications
Trading Small Prosumers Flexibility in the Energy and Tertiary Reserve Markets
Iria, JP;Soares, FJ;Matos, MA;
2019
IEEE TRANSACTIONS ON SMART GRID
Security-Constrained Optimal Power Flow via Cross-Entropy Method
Carvalho, LD;Leite da Silva, AML;Miranda, V;
2018
IEEE TRANSACTIONS ON POWER SYSTEMS
Fault-ride-through strategies for grid-tied and grid-forming smart-transformers suited for islanding and interconnected operation
Rodrigues, J;Moreira, C;Lopes, JP;
2020
ELECTRIC POWER SYSTEMS RESEARCH
Privacy-Preserving Distributed Learning for Renewable Energy Forecasting
Goncalves, C;Bessa, RJ;Pinson, P;
2021
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY