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- W2377761421 abstract "Researches on mathematic foundation of power system state estimation is done from the viewpoint of information theory. A novel and general principle of minimum information loss (MIL) for state estimation is presented to fit for various probability density distribution of measurement. The inner relationship between the MIL and traditional state estimation method is studied. It is proved theoretically that the traditional weighted least square (WLS) and weighted least absolute value (WLAV) state estimation methods are both the special cases of the proposed MIL based state estimation. And then these traditional state estimation methods are endowed with the connotation of information science. A research on how a current magnitude measurement is available in WLS state estimation for sub-transmission system and distribution system has been done and the result shows that a large enough current magnitude is a necessary condition for a WLS state estimation effective.. Comparison between the proposed MIL method and the traditional WLS method is carried out by several numerical tests, and the approximate condition of WLS state estimation method under non-Gaussian distribution is verified." @default.
- W2377761421 created "2016-06-24" @default.
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- W2377761421 date "2005-01-01" @default.
- W2377761421 modified "2023-09-24" @default.
- W2377761421 title "INFORMATION PRINCIPLE FOR STATE ESTIMATION IN POWER SYSTEMS BASED ON MINIMUM INFORMATION LOSS" @default.
- W2377761421 hasPublicationYear "2005" @default.
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