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- W2981869615 abstract "Outage Detection method for radial distribution networks uses demand forecasting based on historical load data of the system and real time line flow measurements. The line flow measurements are obtained from sensors placed on certain nodes of the system to predict the location of the outage. Hypotheses are created for outage at each node as covariance matrix between forecasted demand and the real time line flow data. A Backward Forward Sweep (BFS) load flow is performed to obtain line flow sensor measurements in the nodes at which the sensors are installed. The system is decoupled into areas based on sensor placement to reduce the computation. Outage is located by identifying the area in which outage has occurred and then evaluating all the outage hypotheses under the area. This method is computationally efficient as minimal number of outage hypotheses are evaluated." @default.
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- W2981869615 date "2019-05-01" @default.
- W2981869615 modified "2023-09-22" @default.
- W2981869615 title "Framework for Computationally Efficient Outage Detection" @default.
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- W2981869615 doi "https://doi.org/10.1109/isgt-asia.2019.8881703" @default.
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