Speaker
Description
Romania's power system operator, faces increasing complexity due to renewable energy integration (VRE), market liberalization, and cross-border demands, draining traditional supervisory control and data acquisition systems (SCADA). An AI-enhanced Situational Awareness (SA) platform is proposed to address this, aiming to reinforce operational capabilities and align with digitalization objectives.
The platform leverages publicly available data from CNTEE “Transelectrica” S.A., European Network of Transmission System Operators for Electricity (ENTSO-E), Romanian Gas and Electricity Market Operator "OPCOM" SA (OPCOM), and weather services. It features a multi-layered architecture for data ingestion, preprocessing (including harmonization to 15-minute intervals), fusion, analytics, SA interpretation, and visualization. Core AI functions include exploratory analysis to find correlations (e.g. VRE output vs. weather, market prices vs. cross-border flows, frequency vs. imbalance - all confirmed in initial tests) and a hybrid anomaly detection framework using Isolation Forest, Autoencoders (including LSTM-based), and Gaussian Mixture Models. Preliminary results show high detection accuracy with potential for reduced false positives using advanced methods, leading to increased economic efficiency.
The system aims to provide operators with contextualized anomaly alerts and insights via dashboards, enhancing decision support and transforming raw data into actionable intelligence. Anticipated benefits include improved SA, enhanced operational efficiency, better VRE integration through early warnings and optimized reserve deployment, predictive insights, and increased overall grid resilience, economic efficiency, and sustainability. Some major challenges will also be presented from the perspective of the quality and timeliness of publicly available data sources and addressing strict real-time processing requirements.
Strategically, the platform is a critical step in Romanian National Power System overall digitalization process and aligns with overall European trends in grid development and AI deployment. It serves as a foundation for potential future initiatives like Digital Twins and advanced asset management. Successfully overcoming the implementation obstacles is fundamental to realizing the platform's full economic potential
