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Summary
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Future Smart Grid applications such as Unified Generalized State Estimation, Intelligent Alarm Processing, and Optimized Fault Location, can benefit from the smart grid integration across data and models but the problem of data and model interoperability hinders the implementation. As an example, two difficult and interrelated problems in state estimation, ability to detect topology errors, and implementation complexity due to the two-model (node/breaker and bus/branch) architecture, will be much easier to solve if data and model interoperability are resolved. This project will identify the interoperability issues and will illustrate novel ways of their resolution in the future so that both legacy solutions, as well as future smart grid applications can utilize the same data and models but use them in a manner consistent with the application requirements and aims.
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Industry Team Members
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N. Bhatt (AEP), C.R. Black (Southern Co), D. Brotzman (ComEd), A. Chowdhury (CAISO), S. Chiang (PG&E), R. Farnoosh (Quanta), F. Galvan (Entergy), J. Giri (AREVA), A. Johnson (SCE), J. Kleitsch (American Transmission Co.), M. Laufenberg (PowerWorld), S. Lefebvre (IREQ), E. Litvinov, (ISO New England), N. Logic (Salt River Project), D. Lowe (TVA), C. Miller (Tri State G&T), L. Min (EPRI), M. Mousavi (ABB), J. Tong (PJM), P. Myrda (EPRI), D. Sobajic (NYISO), Lavelle Freeman (GE)
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