Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  summarizes the methodology and simulation tools used by Argonne National Laboratory to examine the impact that a high-intensity New Madrid seismic event could have on local electric assets and the performance of surrounding regional electric networks. Local impacts are expressed in terms of the number of assets (under various equipment categories) most likely to be damaged. The total megawatt equivalent of damage-prone por plants is assessed, as is an estimate of por flows that could be disrupted. Damage functions and fragility curves are employed to identify specific electric assets that could be affected. The potential of large-scale electric system collapse is explored via a series of network simulations. The methodology employs two models, the FEMA-developed  HAZUS MH-MR3  and Argonne-developed  EPfast  tool for simulating uncontrolled islanding in electric systems. The models are described, and their complementary roles are discussed.
['Edgar C. Portante', 'J.A. Kavicky', 'Stephen F. Folga', 'Brian A. Craig', 'Leah E. Talaber', 'Gustav R. Wulfkuhle']
I am writing a research paper on a idea Simulating the seismic performance of a large-scale electric network in the U.S. I am writing a research paper on a idea midwest
[{"from": "human", "value": "I am writing a research paper on a idea Simulating the seismic performance of a large-scale electric network in the U.S. I am writing a research paper on a idea midwest"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  summarizes the methodology and simulation tools used by Argonne National Laboratory to examine the impact that a high-intensity New Madrid seismic event could have on local electric assets and the performance of surrounding regional electric networks. Local impacts are expressed in terms of the number of assets (under various equipment categories) most likely to be damaged. The total megawatt equivalent of damage-prone por plants is assessed, as is an estimate of por flows that could be disrupted. Damage functions and fragility curves are employed to identify specific electric assets that could be affected. The potential of large-scale electric system collapse is explored via a series of network simulations. The methodology employs two models, the FEMA-developed  HAZUS MH-MR3  and Argonne-developed  EPfast  tool for simulating uncontrolled islanding in electric systems. The models are described, and their complementary roles are discussed."}]