Resilent Networks Minitrack
This minitrack focuses on enhancing the reliability of future electric power infrastructure. Advanced technologies will require sophisticated methods for understanding how they can be incorporated into increasingly complex and dynamic infrastructure. We invite papers that examine issues of resiliency and secure interoperability of future grid systems, testbeds that will demonstrate the robustness of advanced technologies, and the associated computational and communication challenges associated with operating the power system.
Jeffery E. Dagle
Pacific Northwest National Laboratory
Blackouts of the electric grid not only deprive our society of electricity, but also can impair other essential networked infrastructures such as gas, communications, and water. Moreover, failures in other infrastructures can, in turn, propagate into the electrical grid. Further adverse infrastructure interactions can emerge as the infrastructures degrade. The combined cascading failure of electricity and other infrastructures greatly increases the discomfort, danger, and economic loss to society. These complex interactions are known anecdotally and by some simulations, but there are considerable challenges in modeling and coordinating the important interactions (possibly including human, market, or economic factors) and quantifying the adverse interactions so that their risk can be estimated, mitigated and controlled. It is also important to verify and quantify these interactions in large-scale testbeds.
The objective of this session is to describe new methods to analyze and quantify electric, gas, communications or water network outages and their interactions with each other so that they can be better mitigated. Novel test approaches that are enabling physical and virtual testing of the interactions are needed. Papers describing new approaches to modeling and testing complex infrastructure failures in the context of complex systems, complex networks, and probabilistic analyses of cascades among interacting networks are encouraged. Papers using testbeds should state the hypotheses being tested and discuss the conclusions about the hypotheses. Joint papers from multiple organizations that have federated testbed facilities are welcome.
Session 2: Data Analytics and Decision Support
Session Organizer and Chair: Le Xie, firstname.lastname@example.org
Power system operators now have an unprecedented wealth of data, coming from a variety of sources such as demand response participants, synchrophasors, and enhanced SCADA systems, which if managed properly can provide opportunities to increase the efficiency, reliability and system performance of the power system. With the increased adoption of grid modernization, demand response programs, and distributed generation that is often renewable and intermittent system operators need to manage vast amounts of data, making big data analytics a requirement for future electrical energy systems.
This session invites technical papers presenting new approaches, methods, and applications related to big data analytics in planning, designing and operating electric energy systems. This session will address some of the challenges and opportunities associated with big data in electrical energy systems, coming from a variety of sources such as behavior data in demand response, PMUs, weather, and enhanced SCADA systems.