Carnegie Mellon University

Andrew Hsu

Marija Dragoljub Ilic

Autonomous, self-adjusting, and distributed line flow processing for a network having nodes with branches coupling adjacent ones of the nodes and components coupled to the nodes. Systems, methods, and software made in accordance with this disclosure can be used to identify where power flows can exceed the maximum transfer limit in each line and to enable automated adjustments in order to avoid such conditions. These can be useful tools for both system operators of large electrical networks and for implementing automated schemes to ensure network feasibility in micro-grids or other networks with many smart components embedded with communications and/or computation capabilities.

Autonomous methods, systems, and software for self-adjusting generation, demand, and/or line flows/reactances to ensure feasible AC power flow

The present disclosure relates to distributed line flow processing for a network having nodes with branches coupling adjacent ones of the nodes and components coupled to the nodes. In one embodiment, the disclosed process includes receiving an objective function having component variables, nodal output variables and branch flow variables for the network. Next, the component variables, nodal output variables and branch flow variables are initialized with initial values, and then values for the branch flow variables are calculated using a distributed Newton method. Finally, values for the component variables and the nodal output variables are calculated using values calculated for the branch flow variables until the values of the component variables, the nodal output variables, and the branch flow variables converge within a predetermined threshold range.

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Pittsburgh, PA, United States of America

Andrew Hsu