Abstract-The paper establishes a formulation for energy hub networks that is consistent with mixed-integer quadratic programming problems. Line outages and cascading failures can be considered within this framework. Power flows across transmission lines and pipelines are compared with flow bounds, and tripped when violations occur. The outaging of lines is achieved using a mixed-integer disjunctive model. A model predictive control (MPC) strategy is developed to mitigate cascading failures, and prevent propagation of outages from one energy-carrier network to another. The MPC strategy seeks to alleviate overloads by adjusting generation and storage schedules, subject to ramp-rate limits and governor action. If overloads cannot be eliminated...
Reliability is a critical goal for power systems. Due to the connectivity of power grids, an initial...
Abstract—We introduce a new microscopic model of the outages in transmission power grids. This model...
International audienceThis paper proposes congestion management solutions based on Model Predictive ...
Abstract—In this paper, we establish energy-hub networks as multi-energy systems and present a relev...
Abstract—In this paper, we study the interdependency be-tween the power grid and the communication n...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2...
International audienceThis paper proposes an overload management method based on Model Predictive Co...
Cascading failures in power systems propagate non-locally, making the control of outages extremely d...
Due to uncertainties and the complicated intrinsic dynamics of power systems, it is difficult to pre...
Despite the reliability of modern power systems, large blackouts due to cascading failures (CFs) do ...
We focus on cascading line failures in the transmission sys-tem of the power grid. Recent large-scal...
International audienceNowadays power transmission networks need to face congestion problems casted o...
The interdependency of multiple networks makes today's infrastructures more vulnerable to failures. ...
Vulnerability due to inter-connectivity of multiple networks has been observed in many complex netwo...
AbstractWe consider optimization problems related to the prevention of large-scale cascading blackou...
Reliability is a critical goal for power systems. Due to the connectivity of power grids, an initial...
Abstract—We introduce a new microscopic model of the outages in transmission power grids. This model...
International audienceThis paper proposes congestion management solutions based on Model Predictive ...
Abstract—In this paper, we establish energy-hub networks as multi-energy systems and present a relev...
Abstract—In this paper, we study the interdependency be-tween the power grid and the communication n...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2...
International audienceThis paper proposes an overload management method based on Model Predictive Co...
Cascading failures in power systems propagate non-locally, making the control of outages extremely d...
Due to uncertainties and the complicated intrinsic dynamics of power systems, it is difficult to pre...
Despite the reliability of modern power systems, large blackouts due to cascading failures (CFs) do ...
We focus on cascading line failures in the transmission sys-tem of the power grid. Recent large-scal...
International audienceNowadays power transmission networks need to face congestion problems casted o...
The interdependency of multiple networks makes today's infrastructures more vulnerable to failures. ...
Vulnerability due to inter-connectivity of multiple networks has been observed in many complex netwo...
AbstractWe consider optimization problems related to the prevention of large-scale cascading blackou...
Reliability is a critical goal for power systems. Due to the connectivity of power grids, an initial...
Abstract—We introduce a new microscopic model of the outages in transmission power grids. This model...
International audienceThis paper proposes congestion management solutions based on Model Predictive ...