2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) – Workshop on Data-driven Methods for Distribution Grid Monitoring, Operation and Planning
CALL FOR PAPERS
The intention of this workshop is bringing light to the key challenges and solutions that faces the distribution grids stressed by the energy transition. While data has been made available to some extends, there are still aspects in how to use data most effectively to enable a soft transition to a greener and intelligent energy system. The complexities that arise due to the diversity of load and production units and the pressure of introducing more electrical vehicles, puts an urgency in addressing issues at the distribution level. Some of the critical challenges are caused by for example low quality data, missing or outdated data caused by communication and measurement subsystems or due to lack of digitalization of for example grid topologies. Even if solutions exist, these needs to be scalable and not work for specific and well selected cases but is required to work reliably in a large and broader variety of grid scenarios. Using existing data intelligently to perform data driven grid monitoring, operations and planning is the key focus of this workshop.
TOPICS OF INTEREST
Topics covered by paper submissions may include, but not limited to:
- Anomaly detection and data quality improvement for measurements and grid topology data
- Distribution grid state estimation under incomplete and erroneous input data
- Quantifications of data quality for distribution grid monitoring, operation, and planning
- Handling incomplete and erroneous data in time-series based monitoring and planning
- Impact of communication solutions and data collection strategies on distribution grid data quality
- Scalability of data collection and data processing of grid related data
- Security, Data protection and privacy of distribution grid data
- Digital Twins of Distribution Grids and their applications
- Data-driven fault-detection and localization in distribution grids
- Congestion prediction and congestion mitigation in distribution grids
- Application of machine-learning for the monitoring, operation, and planning of distribution grids
- Data-driven control of flexible consumers or generators for grid congestion mitigation
- Data-driven grid extension planning and its extension to scenarios of intelligently controlled flexible prosumers
- Industrial experience from digitalization of public distribution grids or corporate distribution grids
The goal is to bring together speakers and audience from both academia and industry in order to identify promising directions of applied research as well as practical challenges of data collection and automated processing in distributed energy infrastructures.
Accepted papers in two formats:
- Regular papers, containing new work (not previously published). Page limit: 6 pages
- Short papers, describing work-in-progress. Page limit: 2 pages
All papers will be reviewed by at least three members of Program Committee.
IMPORTANT DATES
- Paper submission deadline (regular and short papers): June 25, 2024
- Review results announced: July 10, 2024
- Submission of camera-ready papers for pre-proceedings: August 9, 2024
WORKSHOP CHAIRS
- Rasmus L. Olsen, Aalborg University, Denmark
- Jan Dimon Bendtsen, Aalborg University, Denmark
- Hans Peter Schwefel, GridData GmbH, Germany
- Markus Duchon, Fortiss GmbH, Germany
- Huamin Ren, Kristiania University College, Norway
