University of Western Macedonia participates and contributes to SDN-microSENSE, a H2020 project which aims at providing and demonstrating a secure, resilient to cyber-attacks, privacy-enabled, and protected against data breaches solution for decentralised Electrical Power and Energy Systems (EPES). The project employs a set of advanced cutting-edge technologies targeting at: (a) Performing collaborative and distributed risk assessment involving all energy actors, (b) Strengthening EPES domains with self-healing capabilities based on islanding and fast grid recovery processes exploiting renewable sources, (c) Enabling effective energy exchange between microgrids and residential prosumers, (d) Implementing a large-scale cybersecurity solution by integrating innovative components for detecting and preventing cyberattacks, privacy violations and various threats, (e) Building a decentralised security information and event management (SIEM) tool for decision support concerning anomaly detection and response enhanced with advanced machine learning capabilities, (f) Realising an end-to-end privacy framework that involves all types of users and stakeholders to protect against data breaches, (g) Demonstrating and validating all tools/systems/processes through detailed real-world scenarios with emulated/simulated cyberattacks, and (h) Contributing to international standardisation activities for promoting sustainable and compatible EPES cybersecurity approaches. All designed, developed, and tested technologies should consider the latest related research findings and maintain high compliance with current industrial standards (e.g., IEC standards).

The SDN-microSENSE platform will be deployed in the IPTO substation in Lavrio, the interconnection point of Cyclades and the mainland, where real-time electricity measurements will be collected and analyzed by leveraging the novel SDN-enabled RTUs provided by Schneider Electric, enhanced with new cybersecurity functionalities. By analysing the operational data, SDN-microSENSE will detect indications of power outages and disruptions caused by cyberattacks, natural disasters or operational malfunctions, and will suggest islanding schemes to prevent the spreading of cascading effects or a general blackout. At the same time, the platform will be able to propose load shedding actions to ensure load and supply balance on each island to stabilize the frequency and improve power quality.