Massachusetts Institute of Technology

Siemens Corporation

Xia Miao

Xiaofan Wu

Marija Dragoljub Ilic

Ulrich Muenz

Rupamathi Jaddivada

Daniel Kloeser

A method for estimating an admittance matrix for a transmission network comprises estimating in an upper layer time-series data for hidden nodes in the transmission network, computing in a lower layer an estimated admittance matrix for the transmission network and iteratively exchanging information between the upper layer and the second lower layer to produce a final admittance matrix for the transmission matrix. In some embodiments, the method may further comprise spatially dividing the transmission network into a plurality of subnets in the upper layer and estimating the time-series data for the hidden nodes for each subnet. Estimating the times series data for the hidden nodes for each subnet in parallel.

Method and system for online multi-layered grid admittance estimation with limited data measurements

Described are concepts, systems and methods for operating microgrid systems both during normal operation conditions and during sudden, unexpected occurrences of a fault which results in a source becoming disconnected from a primary supply. This is achieved through control systems and method based upon multi-layered modeling of system controllable components and their interactions. This approach results in controllable components capable of operation in a 'plug-and-play' manner.

Plug-and-play reconfigurable electric power microgrids

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Cambridge, MA, United States of America

Xia Miao