The workshop is part of the communication, dissemination, and result transfer activities coordinated by the Energy Cluster within the project. It aims to present the main results and conclusions of the research to the participants, discuss their usefulness for their business, connect the obtained results with the needs of the business sector in the Smart Grid value chain, promote technology transfer opportunities, and inform about future research lines, which are intended to be channeled through the RESINET+ proposal submitted to the Elkartek 2025 call.

During the session, moderated by the Energy Cluster, the project's technological partners – Mondragon Goi Eskola Politeknikoa, UPV/EHU, Ikerlan, Tecnalia, and ZIV I+D – presented the research work carried out and the final results obtained in the different work areas.

In RESINET, a tool based on AI – probabilistic Machine Learning – and a framework to model the impact of operating conditions on the degradation of specific components of electrical systems – wind transformers and solar panels – under extreme events have been developed and validated in several case studies, facilitating the deployment of predictive maintenance strategies.

Additionally, the impact of renewable generation on transmission lines dominated by converters has been studied to improve protection algorithms against electrical faults. Specifically, the implications of replacing synchronous generators with converter-based generators and the faults caused in these cases by traditional current-based algorithms (negative sequence current injection to eliminate active/reactive power oscillations and off-nominal frequency current injection due to PLL errors, among others) have been investigated.

RESINET has also addressed the development of advanced mathematical methods for use in modeling converter-dominated electrical networks to evaluate the stability margins of the electrical system, adjust regulation loops, and develop active oscillation attenuation algorithms for power stages. Additionally, through the injection of pseudo-random binary sequences (PRBS), a method for modeling complex electrical systems where interconnected systems are unknown ("black box") has been proposed to obtain the system's state equations and reduce the order of the obtained models. The analysis has been validated through simulation results in different scenarios.

Furthermore, a method for optimizing controls of parallel-connected converters under variations in the electrical network has been developed. This method allows 'tuning' the system, i.e., it automatically finds an optimal set of control parameters in different network scenarios. The project has also improved algorithms to enable AC/DC converters to provide grid-forming services and regulate DC grid voltage in steady-state.

Complementarily, an experimental platform composed of a hierarchical digital energy management system (EMS), deployed in an Edge-Cloud architecture, capable of integrating distributed storage systems in smart grids, has been designed and validated. Successful validation in a test bench has demonstrated that this EMS maximizes self-consumption and increases the self-sufficiency of an installation composed of photovoltaic generation and a storage system (for a case study of a tertiary building).

Throughout the session, conversations were held among the attendees, where comments and evaluations on the research carried out, the applicability of the obtained results in their respective businesses, and the possible future evolution of the project in the form of new R&D proposals, both fundamental and industrial research, driven in this case by the business fabric, were provided.

As a complement to the workshop, a subsequent meeting was organized with the project's Advisory Committee, formed by representatives of i-DE and Ingeteam, who analyzed various documentation generated during the research and provided their comments, evaluations, and points of view on the results presented by the partners, as well as some of their concerns regarding the adoption and deployment of these technologies.

During the project, 15 scientific-technical publications have been produced, and two software registrations have been considered. Additionally, as a main result in terms of technology transfer, the partners have collaborated – along with other companies in the Smart Grid value chain as the Advisory Committee – in preparing the Elkartek RESINET+ proposal, submitted to the 2025 call, which will allow the continuation of the research initiated in RESINET, as well as incorporate new lines of work based on the suggestions and recommendations of the participating companies in the two transfer workshops held within the framework of the project.

ABOUT RESINET

The research carried out and the results presented in the session are part of the Elkartek RESINET project "Highly resilient electrical networks: Design, control, and protection of energy assets to ensure robustness, flexibility, and supply security," coordinated by Mondragon Goi Eskola Politeknikoa, with the collaboration of UPV/EHU – through its Department of Electrical Engineering (GISEL) –, Ikerlan, Tecnalia, ZIV I+D, and the Energy Cluster. The RESINET project is funded by the Elkartek 2023 program of the Department of Economic Development, Sustainability, and Environment of the Basque Government.