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- W2000523666 abstract "An algorithm for internal state estimation of an interconnected power system is presented using three truly decoupled external system equivalent models. The external system models are identified from the real-time internal measurements being processed by the Kalman filtering technique. These identified models are placed on the boundaries of the internal system so as to reflect the reaction of the external system arising in response to the internal system conditions. The resulting modified internal system model is then utilized to develop a weighted-least-square (WLS) version of the fast decoupled internal state estimation algorithm. The algorithm has been tested on a 25-bus test system and similar convergence characteristics are obtained for all three types of external system models. Moreover, it is found to take the same number of iterations as that of an overall estimator with a drastic reduction in its requirements of computer time and storage." @default.
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- W2000523666 date "1987-01-01" @default.
- W2000523666 modified "2023-10-16" @default.
- W2000523666 title "Decoupled internal state estimation using external system equivalents" @default.
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- W2000523666 doi "https://doi.org/10.1016/0142-0615(87)90022-6" @default.
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