The ACES consortium is driving impactful progress in Work Package 5 (WP5), integrating advanced edge services into energy management systems for real-world grid applications. As the project enters its final validation phase, efforts are centered on three priorities: finalizing use cases and validating their performance on the ACES platform, completing testbed infrastructure acquisition and setup, and conducting behavioral assessments to ensure adaptive solutions under dynamic conditions.
Use Case latest Development
WP5 teams are actively refining three core Use Cases to enhance grid resilience, automation, and predictive capabilities:
Use Case 1:
- Network Topology & Power Flow: Optimizing grid configuration for stability under variable renewable energy inputs.
- Marketplace & Asset Distribution: Developing dynamic energy trading platforms for distributed energy resources (DERs).
- Load Sensitivity Analysis: Modeling demand fluctuations to improve grid response strategies.
Use Case 2:
- Demand Response: Implementing AI-driven load-shifting algorithms to balance supply and demand.
- Demand Prediction: Enhancing short-term forecasting accuracy using machine learning.
- Automated Generator Control (AGC) & Area Control Error (ACE): Streamlining real-time generator adjustments to minimize frequency deviations.
Use Case 3: Grid Health & Maintenance
- ML Grid Health Monitoring: Deploying anomaly detection models to identify grid vulnerabilities.
- Predictive Maintenance: Reducing downtime through condition-based maintenance schedules.
- Voltage Control: Automating reactive power compensation to stabilize voltage levels.
Greek Testbed: Where Innovation Takes Shape
The Greek testbed is making significant strides:
- Programmable Switches: New high-performance switches have been acquired, enabling crucial Software-Defined Networking capabilities.
- Server Procurement: Final negotiations are underway for servers to host the ACES cloud platform, ensuring scalable computational power.
These developments are set to enhance real-time communication and data processing capabilities, bringing us closer to a more efficient and responsive energy grid.
0 Comments