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ARPA-E Funds Our Group to lead a project (A Robust Distributed Framework for Flexible Power Grids) with partners NREL, UIUC, and UTK.
The University of Minnesota will develop a comprehensive approach that addresses the challenges to system reliability and power quality presented by widespread stochastic renewable power generation. By developing techniques for both centralized cloud-based and distributed peer-to-peer networks, the proposed system will enable coordinated response of many local units to adjust consumption and generation of energy, satisfy physical constraints, and provide ancillary services requested by a grid operator. The project will apply concepts from nonlinear and robust control theory to design self-organizing power systems that effectively respond to the grid events and variability. A key feature enabled by the proposed methodology is a flexible plug and play architecture wherein devices and small power networks can easily engage or disengage from other power networks or the grid.
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The University of Minnesota will develop a comprehensive approach that addresses the challenges to system reliability and power quality presented by widespread stochastic renewable power generation. By developing techniques for both centralized cloud-based and distributed peer-to-peer networks, the proposed system will enable coordinated response of many local units to adjust consumption and generation of energy, satisfy physical constraints, and provide ancillary services requested by a grid operator. The project will apply concepts from nonlinear and robust control theory to design self-organizing power systems that effectively respond to the grid events and variability. A key feature enabled by the proposed methodology is a flexible plug and play architecture wherein devices and small power networks can easily engage or disengage from other power networks or the grid.