Aim and Scope
Traditional control, monitoring, and optimization methods for large-scale electrical networks are becoming obsolete due to the rapid transformative changes energy systems are undergoing. The high penetration of variable generation and distributed energy resources and the advent of advanced metering infrastructure are dramatically increasing the potential of electric networks but are also challenging utilities to realize optimal and resilient operations in electric grids. In fact, control, optimization, and monitoring tasks need to be performed in real-time and in a decentralized fashion. Energy is constantly being produced and used, and this balance requires fast decision-making capabilities along with comprehensive situational awareness. As more players are added, the complexity of controlling and optimizing energy systems is rapidly growing which renders conventional methods ineffective under provisioned operational conditions. Heterogeneous sensor, i.e., smart meters or PMU, provide huge amounts of data that can be utilized to infer accurate network states and models and enable judicious optimization and control of available resources. This workshop will explore the potential benefits of adopting the paradigm of autonomous energy grids (AEGs) that rely on novel distributed control and optimization mechanisms to accurately monitor and optimally operate energy systems.
Call for Contributions
This workshop welcomes contributions that tackle challenges in real-time monitoring and control of complex energy systems. The goal of this workshop is to push forward the Autonomous Energy Grid paradigm that rely on novel distributed control and optimization methods to accurately monitor and optimally operate energy systems. Further, novel disruptive approaches, both technically and from a market perspective, for supporting resilient operation of cyber-physical systems are welcome. The workshop therefore covers the following research topics with applications in power systems, transportation, and buildings:
- Autonomous grid operation
- Distributed and scalable optimization methods
- Stochastic and/or nonlinear control
- State estimation methods for energy systems
- Real-time optimization of large-scale systems
- Data-driven control approaches
- System dynamics control
- Resilient cyber-physical systems
Important Dates
Submission Deadline: June 23, 2020 July 10, 2020 (Extended)
Authors Notification: July 28, 2020
Camera-Ready Paper Due: August 7, 2019
Workshop Date: October 6, 2020
Submission Guidelines
Prospective authors are invited to submit original papers (standard two-column IEEE format, up to six pages) using EDAS (www.edas.info under the track “SmartGridComm 2020” and sub-track “Workshop on Autonomous Energy Grids: A Distributed Optimization and Control Perspective”) on all topics related to the workshop research areas.
Workshop Organizers
Dr. Guido Cavraro, National Renewable Energy Laboratory
Dr. Ahmed Zamzam, National Renewable Energy Laboratory
